Association of Gestational Diabetes With Maternal Disorders of Glucose Metabolism and Childhood Adiposity
Open accessAbstract
HAPO follow-up study examining associations of gestational diabetes with maternal glucose disorders and childhood adiposity 10 to 14 years postpartum.
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Claims the paper makes
13 of 30 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured
- Premisecitation
In earlier studies, adjusting for maternal BMI attenuated the associations between gestational diabetes and childhood obesity.
“Adjusting for maternal BMI attenuated the associations between gestational diabetes and childhood obesity in earlier studies, 30,31”
Quote in the paperSubstantial claim1 of 2 sources checked- cites [30] 30. Freinkel N. Banting lecture 1980: of pregnancy and progeny. Diabetes. 1980;29(12):1023-1035. doi:10.2337/diab.29.12.1023 source
- cites [31] 31. Scholtens DM, Bain JR, Reisetter AC, et al; HAPO Study Cooperative Research Group. Metabolic Networks and Metabolites Underlie Associations Between Maternal Glucose During Pregnancy and Newborn Size at Birth. Diabetes. 2016;65(7):2039-2050. doi:10.2337/db15-1748 source
The Introduction says offspring of mothers with gestational diabetes are at risk for childhood obesity, but it does not say whether adjusting for maternal BMI attenuates that association. The Methods describe BMI adjustment for analyses of newborn birth weight and skinfolds, not childhood obesity. Searches for BMI adjustment and attenuation found no passage addressing the claimed finding. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Premisecitation
A meta-analysis of 20 studies performed prior to the development of the IADPSG criteria and using varied criteria to diagnose gestational diabetes demonstrated that women with a history of gestational diabetes had a higher risk of developing type 2 diabetes compared with women with a normoglycemic pregnancy (relative risk, 7.43).
“A meta-analysis of 20 studies that were performed prior to the development of the IADPSG criteria and that used varied criteria to diagnose gestational diabetes demonstrated that women with a history of gestational diabetes had a higher risk of developing type 2 diabetes compared with women with a normoglycemic pregnancy (relative risk, 7.43).23”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [23] 23. Bao W, Yeung E, Tobias DK, et al. Long-term risk of type 2 diabetes mellitus in relation to BMI and weight change among women with a history of gestational diabetes mellitus: a prospective cohort study. Diabetologia. 2015;58(6):1212-1219. doi:10 .1007/s00125-015-3537-4 source
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measured
- Premisecitation
Higher maternal BMI is associated with higher childhood adiposity through shared genetics, familial lifestyle and environmental factors, and the intrauterine environment.
“Higher maternal BMI is associated with higher childhood adiposity through shared genetics, familial lifestyle and environmental factors, and the intrauterine environment.29”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [29] 29. HAPO Study Cooperative Research Group. Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study: associations with neonatal anthropometrics. Diabetes. 2009;58(2):453-459. doi:10.2337/db08-1112 source
The Discussion reports an association between maternal glucose and neonatal adiposity, with maternal BMI treated as a potential confounder. It says that whether maternal metabolic conditions have long-term effects remains to be investigated. Our copy does not establish an association between maternal BMI and childhood adiposity or identify shared genetics and familial lifestyle as pathways; searches for those terms found no such passage. (LLM, conf=0.75)
Experimental — accuracy not yet measured
- Premisecitation
Recent metabolomics studies within the HAPO Study and other cohorts support the concept that mixed nutrients (sugars, lipids, amino acids) contribute to associations of maternal hyperglycemia with newborn outcomes.
“However, recent metabolomics studies performed within the HAPO Study and within other cohorts support the concept that mixed nutrients (eg, sugars, lipids, and amino acids) contribute to associations of maternal hyperglycemia with newborn outcomes.34,35”
Quote in the paperNot a substantial claim1 of 2 sources checked- cites [34] 34. Catalano PM, Farrell K, Thomas A, et al. Perinatal risk factors for childhood obesity and metabolic dysregulation. Am J Clin Nutr. 2009;90 (5):1303-1313. doi:10.3945/ajcn.2008.27416 source
- cites [35] 35. Kim SY, England JL, Sharma JA, Njoroge T. Gestational diabetes mellitus and risk of childhood overweight and obesity in offspring: a systematic review. Exp Diabetes Res. 2011;2011:541308. doi:10.1155/2011/541308 source
Section 5 discusses fetal exposure to maternal hyperglycemia, and Section 6.1 discusses a HAPO follow-up on childhood BMI. Neither passage addresses metabolomics studies or whether sugars, lipids, and amino acids jointly contribute to associations with newborn outcomes. Searches for those terms and for mixed nutrients found no supporting passage in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- Findingown data
Among mothers with gestational diabetes, 52.2% (346/663) developed a disorder of glucose metabolism compared with 20.1% (791/3946) of mothers without gestational diabetes.
“Among mothers with GD, 52.2% (346/663) developed a disorder of glucose metabolism vs 20.1% (791/3946) of mothers without GD”
- Also stated in: § Gestational Diabetes Status and Maternal Outcomes Primary Outcome · plain
“Overall, 52.2% (346/663) of mothers with gestational diabetes developed a disorder of glucose metabolism compared with 20.1% (791/3946) of mothers without gestational diabetes.”
Quote in the paperSubstantial claim - Also stated in: § Gestational Diabetes Status and Maternal Outcomes Primary Outcome · plain
- Findingown data
Among children of mothers with gestational diabetes compared with those without it, the difference in childhood overweight or obesity defined by body mass index cutoffs was not statistically significant.
“Among children of mothers with GD vs those without it, the difference in childhood overweight or obesity defined by body mass index cutoffs was not statistically significant”
Quote in the paperSubstantial claim - Findingown data
Among children of mothers with gestational diabetes, 19.1% (130/681) were obese compared with 9.9% (405/4094) of children of mothers without gestational diabetes.
“Among children of mothers with GD, 39.5% (269/681) were overweight or obese and 19.1% (130/681) were obese vs 28.6% (1172/4094) and 9.9% (405/4094), respectively, for children of mothers without GD.”
- Also stated in: § Secondary Outcomes · plain
“Among children whose mothers had gestational diabetes, 19.1% (130/681) were obese compared with 9.9% (405/4094) of children whose mothers did not have gestational diabetes.”
Quote in the paperSubstantial claim - Also stated in: § Secondary Outcomes · plain
- Findingown data
The offspring of mothers with gestational diabetes were heavier than the offspring of mothers without gestational diabetes.
“however, the offspring of mothers with gestational diabetes were heavier than the offspring of mothers without gestational diabetes.”
Quote in the paperSubstantial claim - Findingown data
Among children of mothers with gestational diabetes, 39.5% (269/681) were overweight or obese compared with 28.6% (1172/4094) of children of mothers without gestational diabetes.
“Among children of mothers with GD, 39.5% (269/681) were overweight or obese and 19.1% (130/681) were obese vs 28.6% (1172/4094) and 9.9% (405/4094), respectively, for children of mothers without GD.”
- Also stated in: § Gestational Diabetes Status and Outcomes for Children · plain
“Among children whose mothers had gestational diabetes, 39.5% (269/681) were overweight or obese compared with 28.6% (1172/4094) of children whose mothers did not have gestational diabetes (Table 3).”
Quote in the paperSubstantial claim - Also stated in: § Gestational Diabetes Status and Outcomes for Children · plain
- Findingown data
For the 4452 mothers of child participants who self-reported prepregnancy BMI during the HAPO Study, the correlation between prepregnancy BMI and BMI during the HAPO Study was 0.92.
“However, for the 4452 mothers of child participants who self-reported prepregnancy BMI during the HAPO Study, the correlation between prepregnancy BMI and BMI during the HAPO Study was 0.92.”
Quote in the paperSubstantial claim - Findingown data
IADPSG-defined gestational diabetes was associated with childhood obesity and direct measures of child adiposity (sum of skinfolds, body fat percentage) in the follow-up study.
“The current follow-up study demonstrated that IADPSG-defined gestational diabetes was associated with childhood obesity as well as direct measures of child adiposity (eg, sum of skinfolds, body fat percentage).”
Quote in the paperSubstantial claim - Findingown data
A higher percentage of offspring of mothers who had gestational diabetes had values for body fat percentage, waist circumference, and sum of skinfolds that were in the 85th percentile or greater.
“A higher percentage of offspring of mothers who had gestational diabetes had values for body fat percentage, waist circumference, and sum of skinfolds that were in the 85th percentile or greater.”
Quote in the paperSubstantial claim - Findingown data
The odds ratio for maternal disorder of glucose metabolism was 3.57 (95% CI, 2.98-4.29) for model 2.
“The OR was 3.57 (95% CI, 2.98-4.29)for model 2.”
Quote in the paperSubstantial claim - Findingown data
Among children of mothers with gestational diabetes vs those without it, the difference in childhood overweight or obesity defined by body mass index cutoffs was not statistically significant.
“Among children of mothers with gestational diabetes vs those without it, the difference in childhood overweight or obesity defined by body mass index cutoffs was not statistically significant”
Quote in the paperSubstantial claim - Findingown data
The adjusted mean differences for continuous measures of child adiposity were significantly higher in models 1 through 3 among children of mothers with gestational diabetes compared with children of mothers without gestational diabetes.
“The adjusted mean differences for the continuous measures of child adiposity were significantly higher in models 1 through 3 among children of mothers with gestational diabetes compared with children of mothers without gestational diabetes (Table 3).”
Quote in the paperSubstantial claim - Findingreasoning
The associations of gestational diabetes with direct measures of child adiposity were stronger than the associations with BMI.
“These associations were stronger than the associations with BMI”
Quote in the paperSubstantial claim - Findingown data
Gestational diabetes according to the Carpenter-Coustan criteria as defined in this study was linked to higher outcome risks.
“Gestational diabetes according to the Carpenter-Coustan criteria as defined in this study was linked to higher outcome risks.”
Quote in the paperSubstantial claim - Findingown data
The outcome frequencies for mothers and children were progressively higher across mothers without gestational diabetes, those with IADPSG-defined gestational diabetes (met IADPSG but not Carpenter-Coustan criteria), and those with Carpenter-Coustan-defined gestational diabetes (P < .001 for all outcomes).
“The outcome frequencies for mothers and children were progressively higher across those mothers without gestational diabetes, those with IADPSG-defined gestational diabetes (ie, met IADPSG but not Carpenter-Coustan criteria), and those with Carpenter-Coustan-defined gestational diabetes (P < .001for all outcomes; Table 4).”
Quote in the paperNot a substantial claim - Premisecitation
The HAPO Study demonstrated that pregnant women with glucose levels during a 2-hour 75-g oral glucose tolerance test lower than those diagnostic of diabetes were associated with adverse pregnancy outcomes along a continuum.
“The HAPO Study demonstrated that pregnant women who had glucose levels during a 2-hour 75-g oral glucose tolerance test lower than those diagnostic of diabetes were associated with adverse pregnancy outcomes along a continuum.1”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [1] 1. Metzger BE, Lowe LP, Dyer AR, et al; HAPO Study Cooperative Research Group. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008; 358(19):1991-2002. doi:10.1056/NEJMoa0707943 source
- Interpretationown data
Among women with gestational diabetes identified by contemporary criteria compared with those without it, gestational diabetes was significantly associated with a higher maternal risk for a disorder of glucose metabolism during long-term follow-up after pregnancy.
“Among women with gestational diabetes identified by contemporary criteria compared with those without it, gestational diabetes was significantly associated with a higher maternal risk for a disorder of glucose metabolism during longterm follow-up after pregnancy.”
Quote in the paperSubstantial claim - Premisecitation
The higher prevalence of obesity among women with gestational diabetes confounds the association of gestational diabetes with childhood obesity.
“The higher prevalence of obesity among women with gestational diabetes confounds the association of gestational diabetes with childhood obesity.28”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [28] 28. Zhao P, Liu E, Qiao Y, et al; ISCOLE Research Group. Maternal gestational diabetes and childhood obesity at age 9-11: results of a multinational study. Diabetologia. 2016;59(11):2339-2348. doi:10.1007 /s00125-016-4062-9
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Study design and conductnone given
Detailed data on postnatal lifestyle that affects childhood adiposity were not available.
“Seventh, detailed data on postnatal lifestyle that affects childhood adiposity were not available.”
Quote in the paperNot a substantial claim - Interpretationown data
This study demonstrated that a larger population of women with lesser degrees of hyperglycemia (IADPSG-defined gestational diabetes) were at risk for progression to prediabetes and type 2 diabetes.
“This study demonstrated that a larger population of women with lesser degrees of hyperglycemia (ie, IADPSG-defined gestational diabetes) were at risk for progression to prediabetes and type 2 diabetes.”
Quote in the paperSubstantial claim - Study design and conductnone given
The proportion of participants who met IADPSG criteria for gestational diabetes and participated in this study was lower than in all eligible participants.
“First, the proportion of participants who met IADPSG criteria for gestational diabetes and participated in this study was lower than in all eligible participants.”
Quote in the paperNot a substantial claim - Study design and conductown data
This study used maternal BMI collected at the time of the oral glucose tolerance test during pregnancy, not pregestational BMI, because objectively measured prepregnancy weight was not available in the HAPO Study.
“Second, this study used maternal BMI collected at the time of the oral glucose tolerance test during pregnancy, not pregestational BMI, because objectively measured prepregnancy weight was not available in the HAPO Study.”
Quote in the paperSubstantial claim - Interpretationcitation
The finding of independent association was consistent with the independent and additive effects of maternal obesity and gestational diabetes on newborn adiposity outcomes in the HAPO Study.
“This was consistent with the independent and additive effects of maternal obesity and gestational diabetes on newborn adiposity outcomes in the HAPO Study.32”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] 32. McCabe CF, Perng W. Metabolomics of Diabetes in Pregnancy. Curr Diab Rep. 2017;17(8):57. doi:10.1007/s11892-017-0890-3 source
- Interpretationown data
The risks for the large group of women meeting the IADPSG-defined criteria for gestational diabetes were substantial.
“However, the risks for the large group of women meeting the IADPSG-defined criteria for gestational diabetes were substantial and cannot be ignored from a public health perspective.”
Quote in the paperSubstantial claim - Study design and conductcitation
During the HAPO Study, 1.8% of participants with oral glucose tolerance test values higher than predefined thresholds during pregnancy were unblinded and excluded from the primary analyses of the HAPO Study and from this follow-up study.
“Third, during the HAPO Study, 1.8% of participants with oral glucose tolerance test values higher than predefined thresholds during pregnancy were unblinded and excluded from the primary analyses of the HAPO Study and from this follow-up study.22”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [22] 22. Catalano PM, Vargo KM, Bernstein IM, Amini SB. Incidence and risk factors associated with abnormal postpartum glucose tolerance in women with gestational diabetes. Am J Obstet Gynecol. 1991;165(4 Pt 1):914-919. doi:10.1016/0002-9378(91) 90438-W 25. Löbner K, Knopff A, Baumgarten A, et al. Predictors of postpartum diabetes in women with gestational diabetes mellitus. Diabetes. 2006;55 (3):792-797. doi:10.2337/diabetes.55.03.06 .db05-0746 source
- Interpretationown data
Gestational diabetes was associated with measures of childhood adiposity independent of maternal BMI.
“demonstrating that gestational diabetes was associated with these measures independent of maternal BMI.”
Quote in the paperSubstantial claim - Interpretationown data
This study demonstrated that untreated gestational diabetes identified post hoc using the IADPSG criteria was associated with a higher risk for a maternal disorder of glucose metabolism 10 to 14 years' postpartum.
“This study demonstrated that untreated gestational diabetes (identified post hoc using the IADPSG criteria) was associated with a higher risk for a maternal disorder of glucose metabolism 10 to 14 years' postpartum.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 41
- May combine two claims. 45
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataMultiple imputation under a missing at random assumption using the Mice R package was used to model outcomes for children to account for missing Tanner stage data.
“Multiple imputation under a missing at random assumption 18,19 using the Mice R package 20 was used in the analyses to model the outcomes for children to account for missing data for Tanner stage”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [18] 18. Van Buuren S, Groothuis-Oudshoorn K. mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45(3):1-67. doi:10.18637/jss .v045.i03 source
- cites [19] 19. Lawrence JM, Contreras R, Chen W, Sacks DA. Trends in the prevalence of preexisting diabetes and gestational diabetes mellitus among a racially/ethnically diverse population of pregnant women, 1999-2005. Diabetes Care. 2008;31(5): 899-904. doi:10.2337/dc07-2345 source
- cites [20] 20. Sacks DA, Hadden DR, Maresh M, et al; HAPO Study Cooperative Research Group. Frequency of gestational diabetes mellitus at collaborating centers based on IADPSG consensus panel-recommended criteria: the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Diabetes Care. 2012;35(3):526-528. doi:10.2337 /dc11-1641 source
The Statistical analyses section (p. 1) describes logistic regression and direct standardization in Stata 11.2. Searches for multiple imputation, missing at random, Mice, and Tanner stage found no passage in this paper addressing the claimed handling of missing child-outcome data. (LLM, conf=0.76)
Experimental — accuracy not yet measured
- The authors state this as an assumption: Missing data for Tanner stage are missing at random.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationApproximately twice as many women are diagnosed with gestational diabetes using the IADPSG criteria compared with the Carpenter-Coustan criteria.
“Approximately twice as many women are diagnosed with gestational diabetes using the IADPSG criteria compared with the Carpenter-Coustan criteria.6”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [6] 6. Regnell SE, Lernmark Å. Early prediction of autoimmune (type 1) diabetes. Diabetologia. 2017; 60(8):1370-1381. doi:10.1007/s00125-017-4308-1 source
The Stage 2 section discusses glucose testing during progression to type 1 diabetes, not gestational-diabetes diagnosis. Searches for IADPSG, Carpenter–Coustan, and gestational-diabetes criteria found no passage comparing the number of women diagnosed under those criteria; the claim cannot be verified from this copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Classified as probably not a substantial claim. May combine two claims.
PremisecitationNew criteria for the diagnosis of gestational diabetes were proposed by the International Association of Diabetes and Pregnancy Study Groups and adopted by the World Health Organization and others based on the HAPO Study and other studies.
“Based on the HAPO Study and other studies, new criteria for the diagnosis of gestational diabetes were proposed by the International Association of Diabetes and Pregnancy Study Groups (IADPSG) 2 and adopted by the World Health Organization and others.3,4”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [2] 2. Metzger BE, Gabbe SG, Persson B, et al; International Association of Diabetes and Pregnancy Study Groups Consensus Panel. International Association of Diabetes and Pregnancy Study Groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy. Diabetes Care. 2010;33(3):676-682. doi:10.2337/dc09-1848 source
- cites [3] 3. World Health Organization. Diagnostic criteria and classification of hyperglycaemia first detected in pregnancy: a World Health Organization Guideline. Diabetes Res Clin Pract. 2014;103(3):341- 363. doi:10.1016/j.diabres.2013.10.012 source
- cites [4] 4. Committee on Practice Bulletins-Obstetrics. Practice Bulletin No. 180: gestational diabetes mellitus. Obstet Gynecol. 2017;130(1):e17-e37. doi:10.1097/AOG.0000000000002159 source
Classified as probably not a substantial claim.
Study design and conductcitationEstimating that 25% of children of mothers without gestational diabetes would be overweight or obese, a sample size of 5632 was required to detect an odds ratio of 1.30 with 90% power for a 2-sided type I error rate of 5%.
“Estimating that 25% of children of mothers without gestational diabetes would be overweight or obese, a sample size of 5632 was required to detect an odds ratio (OR) of 1.30 with 90% power for a 2-sided type I error rate of 5%.[10][11][12]”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [10] 10. Hillier TA, Pedula KL, Schmidt MM, Mullen JA, Charles MA, Pettitt DJ. Childhood obesity and metabolic imprinting: the ongoing effects of maternal hyperglycemia. Diabetes Care. 2007;30 (9):2287-2292. doi:10.2337/dc06-2361 source
- cites [11] 11. Lawlor DA, Fraser A, Lindsay RS, et al. Association of existing diabetes, gestational diabetes and glycosuria in pregnancy with macrosomia and offspring body mass index, waist and fat mass in later childhood: findings from a prospective pregnancy cohort. Diabetologia. 2010; 53(1):89-97. doi:10.1007/s00125-009-1560-z source
The Results (pp. 4–5) report cohort sizes and associations with offspring overweight or obesity, but do not give the claimed sample-size calculation. Searches for 5,632, 90% power, an odds ratio of 1.30, and the assumed 25% prevalence found no passage addressing those inputs. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [12] 12. Hsieh FY, Bloch DA, Larsen MD. A simple method of sample size calculation for linear and logistic regression. Stat Med. 1998;17(14):1623-1634. doi:10.1002/(SICI)1097-0258(19980730)17: 14<1623::AID-SIM871>3.0.CO;2-S 14. Carr DB, Newton KM, Utzschneider KM, et al. Modestly elevated glucose levels during pregnancy are associated with a higher risk of future diabetes among women without gestational diabetes mellitus. Diabetes Care. 2008;31(5):1037-1039. doi:10.2337/dc07-1957 source
May combine two claims.
PremisecitationRisk factors for progression to type 2 diabetes include maternal age, prepartum and postpartum BMI, family history of type 2 diabetes, receipt of insulin for gestational diabetes, and fasting glucose level during pregnancy.
“The risk factors for progression to type 2 diabetes include maternal age, prepartum and postpartum BMI, family history of type 2 diabetes, receipt of insulin for gestational diabetes, and fasting glucose level during pregnancy.6,[24][25][26]”
Quote in the paperNot a substantial claim3 of 4 sources checked- cites [6] 6. Regnell SE, Lernmark Å. Early prediction of autoimmune (type 1) diabetes. Diabetologia. 2017; 60(8):1370-1381. doi:10.1007/s00125-017-4308-1 source
The Environmental factors and Stage 2 sections discuss progression to type 1 diabetes, not progression from gestational diabetes to type 2 diabetes. Searches for maternal age, prepartum and postpartum BMI, gestational diabetes, and fasting glucose did not find a passage addressing the claimed risk factors. (LLM, conf=0.76)
Experimental — accuracy not yet measured - cites [24] 24. Dabelea D, Crume T. Maternal environment and the transgenerational cycle of obesity and diabetes. Diabetes. 2011;60(7):1849-1855. doi:10.2337 /db11-0400 source
The “Glucose abnormalities and type 2 diabetes” section discusses diabetes risk in offspring exposed to maternal diabetes, not progression to type 2 diabetes in women after gestational diabetes. The “What is the role of maternal fuels?” section links fasting glucose during pregnancy to infant size, not maternal diabetes progression. Searches for postpartum BMI and maternal progression did not find the claimed list of risk factors in our copy; no page numbers were available. (LLM, conf=0.75)
Experimental — accuracy not yet measured - cites [25] 25. Buchanan TA, Xiang AH. Gestational diabetes mellitus. J Clin Invest. 2005;115(3):485-491. doi:10 .1172/JCI200524531 source
- cites [26] 26. Lakshman R, Elks CE, Ong KK. Childhood obesity. Circulation. 2012;126(14):1770-1779. doi:10.1161/CIRCULATIONAHA.111.047738 source
The 'Birth weight and antenatal factors' section discusses maternal obesity and pregnancy glycaemia as associated with offspring outcomes, not a mother's progression to type 2 diabetes. A search for postpartum diabetes after gestational diabetes and the listed risk factors found no passage addressing that progression. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn the United States, prevalence of gestational diabetes was 7.4% using the Carpenter-Coustan criteria during a period similar to the HAPO Study.
“In the United States, prevalence of gestational diabetes was 7.4% using the Carpenter-Coustan criteria during a period similar to the HAPO Study.21”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [21] 21. Bellamy L, Casas JP, Hingorani AD, Williams D. Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis. Lancet. 2009;373(9677):1773-1779. doi:10.1016/S0140-6736 (09)60731-5 source
The indexed copy returns passages from “The global burden of women's cancers,” including its References and Conclusions (pages not provided), despite the supplied source title. Searches for “gestational diabetes,” “7.4%,” “Carpenter-Coustan,” and “HAPO” found no passage addressing the claimed U.S. prevalence. The copy therefore cannot verify the claim. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataThe criteria for gestational diabetes were met by 14.3% (672/4697) of mothers overall and by 14.1% (683/4832) of mothers of participating children.
“The criteria for GD were met by 14.3% (672/4697) of mothers overall and by 14.1% (683/4832) of mothers of participating children.”
- Also stated in: § Participants · plain
“Overall, 14.3% (672/4697) of participating mothers had gestational diabetes, which was lower than the 16% anticipated during study planning.”
Quote in the paperNot a substantial claim- Also stated in: § Participants · plain
May combine two claims.
Findingown dataAdjusted for maternal body mass index during pregnancy, the odds ratio was 1.58 (95% CI, 1.24 to 2.01) for children who were obese and the risk difference was 5.0% (95% CI, 2.0% to 8.0%).
“the OR was 1.58 (95% CI, 1.24 to 2.01) for children who were obese and the RD was 5.0% (95% CI, 2.0% to 8.0%)”
- Also stated in: § Secondary Outcomes · plain
“In model 4 (fully adjusted model), the OR was 1.58 (95% CI, 1.24-2.01)and the risk difference was 5.0% (95% CI, 2.0%-8.0%)for obesity”
Quote in the paperSubstantial claim- Also stated in: § Secondary Outcomes · plain
May combine two claims.
Findingown dataAmong mothers with gestational diabetes, the odds ratio for a disorder of glucose metabolism was 3.44 (95% CI, 2.85 to 4.14) and the risk difference was 25.7% (95% CI, 21.7% to 29.7%) compared with mothers without gestational diabetes.
“(odds ratio [OR], 3.44 [95% CI, 2.85 to 4.14]; risk difference [RD], 25.7% [95% CI, 21.7% to 29.7%])”
- Also stated in: § Gestational Diabetes Status and Maternal Outcomes Primary Outcome · plain
“The OR was 3.44 (95% CI, 2.85-4.14)for model 3, which adjusted for maternal variables at follow-up, and the risk difference was 25.7% (95% CI, 21.7%-29.7%).”
Quote in the paperSubstantial claim- Also stated in: § Gestational Diabetes Status and Maternal Outcomes Primary Outcome · plain
May combine two claims.
Findingown dataAt the follow-up study visit, mothers with gestational diabetes had higher BMIs and more frequent family histories of diabetes in first-degree relatives.
“At the follow-up study visit, mothers with gestational diabetes had higher BMIs and more frequent family histories of diabetes in first-degree relatives.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataOf 15,812 eligible mother-child pairs, 9,322 were screened; 4,834 children and 4,747 mothers completed all or part of the study visit, representing 69.1% and 67.8% of the 7,000 target, respectively.
“Of 15 812 eligible mother-child pairs (eTable 1 in the Supple- ment), 9322 were screened to confirm eligibility and willing- ness to participate. From these, 4834 children and 4747 moth- ers completed all or part of the study visit, representing 69.1% and 67.8% of the 7000 target, respectively”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAdjusted for maternal body mass index during pregnancy, the odds ratio was 1.57 (95% CI, 1.27 to 1.95) for sum of skinfolds and the risk difference was 6.5% (95% CI, 3.1% to 9.9%).
“the OR was 1.57 (95% CI, 1.27 to 1.95) for sum of skinfolds and the RD was 6.5% (95% CI, 3.1% to 9.9%)”
- Also stated in: § Secondary Outcomes · plain
“the OR was 1.57 (95% CI, 1.27-1.95)and the risk difference was 6.5% (95% CI, 3.1%-9.9%)for the sum of skinfolds”
Quote in the paperSubstantial claim- Also stated in: § Secondary Outcomes · plain
May combine two claims.
Findingown dataAdjusted for maternal body mass index during pregnancy, the odds ratio was 1.34 (95% CI, 1.08 to 1.67) for waist circumference and the risk difference was 4.1% (95% CI, 0.8% to 7.3%).
“the OR was 1.34 (95% CI, 1.08 to 1.67) for waist circumference and the RD was 4.1% (95% CI, 0.8% to 7.3%)”
- Also stated in: § Secondary Outcomes · plain
“the OR was 1.34 (95% CI, 1.08-1.67)and the risk difference was 4.1% (95% CI, 0.8%-7.3%)for waist circumference”
Quote in the paperSubstantial claim- Also stated in: § Secondary Outcomes · plain
May combine two claims.
Findingown dataThe mean BMI, fasting plasma glucose level, 1-hour plasma glucose level, and 2-hour plasma glucose level during the HAPO Study oral glucose tolerance test and race/ethnicity were similar between participants and nonparticipants.
“The mean BMI, fasting plasma glucose level, 1-hour plasma glucose level, and 2-hour plasma glucose level during the HAPO Study oral glucose tolerance test and race/ethnicity were similar between groups.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAt the oral glucose tolerance test during the HAPO Study pregnancy, mothers with gestational diabetes were older, weighed more, and had higher BMIs, mean arterial pressures, and glucose concentrations compared with mothers without gestational diabetes.
“At the oral glucose tolerance test during the HAPO Study pregnancy, mothers with gestational diabetes were older, weighed more, and had higher BMIs, mean arterial pressures, and glucose concentrations compared with mothers without gestational diabetes.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataAmong women who participated in this follow-up study, the mean age during the HAPO Study was 30.1 years and the frequency of gestational diabetes was 14.3% compared with 29.1 years and 16.3%, respectively, among those women who did not participate.
“Among women who participated in this follow-up study, the mean age during the HAPO Study was 30.1 years and the frequency of gestational diabetes was 14.3% compared with 29.1 years and 16.3%, respectively, among those women who did not participate (unable to contact or declined) (Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataAdjusted for maternal body mass index during pregnancy, the odds ratio was 1.35 (95% CI, 1.08 to 1.68) for body fat percentage and the risk difference was 4.2% (95% CI, 0.9% to 7.4%).
“the OR was 1.35 (95% CI, 1.08 to 1.68) for body fat percentage and the RD was 4.2% (95% CI, 0.9% to 7.4%)”
- Also stated in: § Secondary Outcomes · plain
“the OR was 1.35 (95% CI, 1.08-1.68)and the risk difference was 4.2% (95% CI, 0.9%-7.4%)for body fat percentage”
Quote in the paperSubstantial claim- Also stated in: § Secondary Outcomes · plain
May combine two claims.
Findingown dataAdjusted for maternal body mass index during pregnancy, the odds ratio was 1.21 (95% CI, 1.00 to 1.46) for children who were overweight or obese and the risk difference was 3.7% (95% CI, -0.16% to 7.5%).
“Adjusted for maternal body mass index during pregnancy, the OR was 1.21 (95% CI, 1.00 to 1.46) for children who were overweight or obese and the RD was 3.7% (95% CI, -0.16% to 7.5%)”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Findingown dataThe median duration of follow-up was 11.4 years (interquartile range, 10.6-12.2 years).
“The median duration of follow-up was 11.4 years (interquartile range, 10.6-12.2years).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataGestational diabetes was positively associated with obesity, body fat percentage, waist circumference, and sum of skinfolds in model 1, with slight attenuation after adjusting for Tanner stage and maternal variables during pregnancy in models 2 and 3.
“Gestational diabetes was positively associated with these outcomes (model 1), with slight attenuation after adjusting for Tanner stage and maternal variables during pregnancy (models 2 and 3) (Table 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn model 4, differences in continuous child adiposity measures were attenuated after adjusting for maternal BMI during pregnancy; all variables except BMI remained significant.
“In model 4, these differences were attenuated after adjusting for maternal BMI during pregnancy; however, all variables except BMI remained significant.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataGestational diabetes was positively associated with childhood overweight or obesity in model 1, with slight attenuation after adjusting for Tanner stage and maternal variables during pregnancy in models 2 and 3.
“Gestational diabetes was positively associated with childhood overweight or obesity (model 1), with slight attenuation after adjusting for Tanner stage and maternal variables during pregnancy (models 2 and 3) (Table 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn this study, adjusting for maternal BMI attenuated observed associations of gestational diabetes with measures of childhood adiposity, but multiple associations remained significant.
“In this study, adjusting for maternal BMI attenuated observed associations of gestational diabetes with measures of childhood adiposity, but multiple associations remained significant”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn model 4, adjusted mean differences were 0.26 (95% CI, -0.06 to 0.57) for BMI, 1.05 (95% CI, 0.24 to 1.85) for body fat percentage, 1.28 (95% CI, 0.43 to 2.14) cm for waist circumference, and 2.52 (95% CI, 0.82 to 4.22) mm for sum of skinfolds.
“The adjusted mean differences among the offspring of mothers with gestational diabetes vs the offspring of mothers without gestational diabetes were 0.26 (95% CI, -0.06 to 0.57) for BMI, 1.05 (95% CI, 0.24 to 1.85) for body fat percentage, 1.28 (95% CI, 0.43 to 2.14) cm for waist circumference, and 2.52 (95% CI, 0.82 to 4.22) mm for sum of skinfolds.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataCompared with offspring of mothers without gestational diabetes, offspring of mothers with gestational diabetes had higher BMIs, body fat percentages, waist circumferences, and sum of skinfolds.
“Compared with the offspring of mothers without gestational diabetes, the offspring of mothers with gestational diabetes had higher BMIs, body fat percentages, waist circumferences, and sum of skinfolds.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataIn this follow-up study, more than twice as many mothers with IADPSG-defined gestational diabetes compared with mothers with Carpenter-Coustan-defined gestational diabetes (240 vs 106) developed a disorder of glucose metabolism, and there were similar findings for the adiposity outcomes for children.
“In this follow-up study, more than twice as many mothers with IADPSG-defined gestational diabetes compared with mothers with Carpenter-Coustan-defined gestational diabetes (ie, 240 vs 106) developed a disorder of glucose metabolism and there were similar findings for the adiposity outcomes for children.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataThe risk differences for type 2 diabetes and prediabetes in model 3 were 7.3% (95% CI, 5.0%-9.6%) and 22.8% (95% CI, 18.6%-27.0%), respectively.
“The risk differences were consistent and there were higher outcome frequencies among mothers with gestational diabetes for model 3 (type 2 diabetes: 7.3% [95% CI, 5.0%-9.6%];prediabetes: 22.8% [95% CI, 18.6%-27.0%]).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor type 2 diabetes, the odds ratio was 5.38 (95% CI, 3.68-7.86) for model 2 and 5.44 (95% CI, 3.68-8.08) for model 3.
“For type 2 diabetes, the OR was 5.38 (95% CI, 3.68-7.86)for model 2 and the OR was 5.44 (95% CI, 3.68-8.08)for model 3.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFor prediabetes, the odds ratio was 3.18 (95% CI, 2.63-3.85) for model 2 and 3.07 (95% CI, 2.53-3.73) for model 3.
“For prediabetes, the OR was 3.18 (95% CI, 2.63-3.85)for model 2 and the OR was 3.07 (95% CI, 2.53-3.73)for model 3.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAmong mothers with gestational diabetes, 10.7% (71/663) had type 2 diabetes and 41.5% (275/663) had prediabetes compared with 1.6% (63/3946) and 18.4% (728/3946), respectively, among mothers without gestational diabetes.
“Among mothers with gestational diabetes, 10.7% (71/663) had type 2 diabetes and 41.5% (275/663) had prediabetes compared with 1.6% (63/3946) and 18.4% (728/3946), respectively, among mothers without gestational diabetes.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductown dataResults for the oral glucose tolerance test were not known by caregivers or participants except under specified threshold conditions.
“Results for the oral glucose tolerance test were not known by the caregivers or the participants unless (1) the fasting plasma glucose level was greater than 105 mg/dL (>5.8 mmol/L), (2) the 2-hour plasma glucose level was greater than 200 mg/dL (>11.1 mmol/L), (3) both of these occurred, (4) either measure yielded a plasma glucose level of less than 45 mg/dL (<2.5 mmol/L), or (5) at 34 to 37 week”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataBlinded duplicate glucose samples were assayed several weeks apart and coefficients of variation were calculated within pairs for a random subset of 10%; the mean coefficient of variation was 1.4% for fasting plasma glucose and 1.5% for 2-hour plasma glucose.
“Blinded duplicate samples were assayed several weeks apart and coefficients of variation were calculated within pairs for a random subset of 10%.The mean coefficient of variation was 1.4% for fasting plasma glucose and 1.5% for 2-hour plasma glucose.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningFor child outcomes, model 4 adjusted for age, sex, field center, child pubertal status, maternal variables during pregnancy, and maternal BMI at oral glucose tolerance test during pregnancy.
“model 4: model 3 plus maternal BMI at oral glucose tolerance test during pregnancy.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationFor type 2 diabetes, the conservative estimate that 2.5% of women with gestational diabetes and 1% of women without gestational diabetes would develop type 2 diabetes yielded an odds ratio of 2.54 and required a sample size of 6156 for 90% power at a 2-sided type I error rate of 5%.
“For the least frequent outcome of type 2 diabetes, 14 the conservative estimate that 2.5% of women with gestational diabetes and 1% of women without gestational diabetes would develop type 2 diabetes yielded an OR of 2.54 and required a sample size of 6156 for 90% power at a 2-sided type I error rate of 5%.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [14] 14. R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing; 2016.
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
May combine two claims.
Study design and conductown dataThe Hosmer-Lemeshow P values for the logistic regression models ranged from .35 to .99 for the outcomes of mothers and .13 to .99 for the outcomes of children, indicating reasonable model fit.
“The Hosmer-Lemeshow P values for the logistic regression models ranged from .35 to .99 for the outcomes of mothers and .13 to .99 for the outcomes of children, indicating reasonable model fit.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataColinearity was not a concern because the pairwise correlations ranged from 0 to 0.20 for the model covariates.
“Colinearity was not a concern because the pairwise correlations ranged from 0 to 0.20 for the model covariates.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationLogistic regression model fit was measured using the C statistic and confirmed by the Hosmer-Lemeshow goodness-of-fit test.
“Logistic regression model fit was measured using the C statistic and confirmed by the Hosmer-Lemeshow goodness-of-fit test.17”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] 17. Rubin DB. Multiple imputation for nonresponse in surveys. New York: Wiley; 1987. doi:10.1002 /9780470316696
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataResidual plots confirmed linear modeling assumptions and DFbeta statistics indicated no observations of undue influence.
“Residual plots confirmed linear modeling assumptions and DFbeta statistics indicated no observations of undue influence.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductcitationMultiple models were considered for all outcomes and independent variables were identified according to the study design, known potential confounders, and the adjustments used for the analyses in the HAPO Study.
“Multiple models were considered for all outcomes and the independent variables were identified according to the study design, known potential confounders, and the adjustments used for the analyses in the HAPO Study. 1”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] 1. Metzger BE, Lowe LP, Dyer AR, et al; HAPO Study Cooperative Research Group. Hyperglycemia and adverse pregnancy outcomes. N Engl J Med. 2008; 358(19):1991-2002. doi:10.1056/NEJMoa0707943 source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe remaining participants were not treated because they did not meet any of the criteria and were not informed of their glucose tolerance test results.
“The remaining participants were not treated because they did not meet any of these criteria and they were not informed of their glucose tolerance test results.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenTo exclude type 1 diabetes, serum anti-GAD65, anti-insulin, anti-ZnT8, and anti-IA-2 antibodies were measured for all mothers with self-reported treated diabetes or with a new diagnosis of diabetes.
“To exclude type 1 diabetes, serum anti-GAD65, serum anti-insulin, serum anti-ZnT8, and serum anti-IA-2 antibodies were measured at the Barbara Davis Center for all mothers with self-reported treated diabetes or with a new diagnosis of diabetes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataMissing data ranged from 0% to 1.5% for model variables, and most variables had complete data; only Tanner stage had substantial missingness, with 15.2% of girls and 36.3% of boys lacking a trained assessment.
“For participating mothers and children whose data were analyzed, missing data ranged from 0% to 1.5% for model variables, and most variables had complete data (100%).Only Tanner stage had substantial missingness; 15.2% of girls and 36.3% of boys lacked a trained assessment.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S2 (checkable).
Interpretationnone givenAdditional measures of childhood adiposity may be relevant in interpreting the study findings.
“however, additional measures of childhood adiposity may be relevant in interpreting the study findings.”
- Also stated in: § Conclusions · hedged
“however, additional measures of childhood adiposity may be relevant in interpreting the study findings.”
Quote in the paperNot a substantial claim- Also stated in: § Conclusions · hedged
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenColinearity was evaluated using pairwise correlations.
“Colinearity was evaluated using pairwise correlations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenFor maternal outcomes, model 3 adjusted for field center, parity, gestational age, maternal follow-up age, height, BMI, family history of diabetes, mean arterial pressure, smoking, alcohol, and number of pregnancies subsequent to the HAPO Study birth.
“model 3: model 1 plus 2 of the maternal variables at oral glucose tolerance test during pregnancy from model 2 (parity [0, ≥1] and gestational age), plus maternal variables at follow-up (age, height, BMI, family history of diabetes in first-degree relatives, mean arterial pressure, smoking status [yes or no]), alcohol consumption [yes or no]), and the No. of pregnancies subsequent to birth during”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningIn a post hoc analysis, the Bonferroni correction was applied to take into account multiple comparisons for secondary outcomes; P < .025 was used for the 2 secondary outcomes in mothers and P < .0125 for the 4 secondary outcomes in children.
“In a post hoc analysis, the Bonferroni correction was applied to take into account the multiple comparisons involved in evaluating the secondary outcomes; therefore, P < .025was used for evaluating statistical significance for the 2 secondary outcomes in mothers and P < .0125was used for the 4 secondary outcomes in children.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductreasoningThis study was powered to detect associations of gestational diabetes with childhood measures of adiposity during 10 to 14 years of follow-up.
“This study was powered to detect associations of gestational diabetes with childhood measures of adiposity during 10 to 14 years of follow-up.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenLinear regression model fit was assessed by scatter plots of residuals vs fitted values, histograms and qqplots of residuals, and DFbeta statistics.
“Linear regression model fit was assessed by scatter plots of residuals vs fitted values, histograms and qqplots of residuals, and DFbeta statistics.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenSummary statistics during pregnancy were compared for eligible mothers and for mothers of eligible children who did or did not participate with weighted summaries for nonparticipants to account for varying participation rates at field centers.
“The summary statistics during pregnancy were compared for eligible mothers and for mothers of eligible children who did or did not participate with weighted summaries for nonparticipants to account for varying participation rates at field centers.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductreasoningThe HAPO Study included women from multiple racial/ethnic groups according to self-report using prespecified categories to describe the study population, ensure broad applicability of the results, and adjust for potential confounding by race/ethnicity.
“The HAPO Study included women from multiple racial/ethnic groups according to self-report using prespecified categories to describe the study population, ensure broad applicability of the results, and adjust for potential confounding by race/ethnicity due to differences in gestational diabetes or outcome frequencies if not sufficiently modeled by study site (field center).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe study was not powered to examine sex-specific associations.
“The study was not powered to examine sex-specific associations.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationThe IADPSG criteria for gestational diabetes, established based on glucose levels associated with adverse pregnancy outcomes in the HAPO Study and other studies, identify a larger group of mothers than the Carpenter-Coustan criteria.
“The IADPSG criteria for gestational diabetes, which were established based on glucose levels associated with adverse pregnancy outcomes in the HAPO Study and in other studies, identify a larger group of mothers than the Carpenter-Coustan criteria.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationIn the HAPO Study, gestational diabetes prevalence was 17.8% using the IADPSG criteria and ranged from 15.5% to 25.5% in the North American HAPO Study field centers.
“In contrast, gestational diabetes prevalence in the HAPO Study was 17.8% using the IADPSG criteria and the prevalence ranged from 15.5% to 25.5% in the North American HAPO Study field centers.22”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] 22. Catalano PM, Vargo KM, Bernstein IM, Amini SB. Incidence and risk factors associated with abnormal postpartum glucose tolerance in women with gestational diabetes. Am J Obstet Gynecol. 1991;165(4 Pt 1):914-919. doi:10.1016/0002-9378(91) 90438-W 25. Löbner K, Knopff A, Baumgarten A, et al. Predictors of postpartum diabetes in women with gestational diabetes mellitus. Diabetes. 2006;55 (3):792-797. doi:10.2337/diabetes.55.03.06 .db05-0746 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningSocial, behavioral, or other differences between participants and nonparticipants that may have confounded associations of gestational diabetes with outcome frequencies cannot be ruled out.
“however, social, behavioral, or other differences between participants and nonparticipants that may have confounded associations of gestational diabetes with outcome frequencies cannot be ruled out.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe association of gestational diabetes with childhood overweight or obesity was not statistically significant; however, other childhood adiposity measures may be relevant for interpreting the study findings.
“The association of gestational diabetes with childhood overweight or obesity was not statistically significant; however, other childhood adiposity measures may be relevant for interpreting the study findings.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe characteristics of all mothers during pregnancy (regardless of participation) were similar.
“The characteristics of all mothers during pregnancy (regardless of participation) were similar”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductreasoningIn this blinded observational follow-up study, none of the participants were prospectively diagnosed with gestational diabetes, so treatment was not a confounding factor for maternal and child outcomes.
“in this blinded observational follow-up study, none were prospectively diagnosed with gestational diabetes.Therefore, treatment was not a confounding factor for maternal and child outcomes.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenMaternal hemoglobin A1c levels at follow-up were not used.
“Sixth, maternal hemoglobin A 1c levels at follow-up were not used.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Interpretationnone givenThe racial/ethnic diversity of the participants makes the findings broadly applicable.
“In addition, the racial/ethnic diversity of the participants make the findings broadly applicable.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThis study was not designed to compare women with vs without gestational diabetes defined by the Carpenter-Coustan criteria.
“This study was not designed to compare women with vs without gestational diabetes defined by the Carpenter-Coustan criteria.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe C statistics were lowest for model 1 for the outcomes of children (as low as 0.50); model fit improved for models 2 and 3, with the highest C statistics ranging from 0.68 to 0.74 in model 4.
“The C statistics were lowest for model 1 for the outcomes of children (as low as 0.50).The model fit improved for mod-els 2 and 3 for the outcomes of children, with the highest C statistics ranging from 0.68 to 0.74 in model 4.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataRecruitment was lower than expected; the prespecified recruitment target was 7000 mother-child pairs, and recruitment totals were 67.8% for women and 69.1% for children.
“Fifth, recruitment was lower than expected.The prespecified recruitment target was 7000 mother-child pairs; recruitment totals were 67.8% for women and 69.1% for children.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe R2 values ranged from 0.05 to 0.28 for continuous outcomes for children and increased across models 1 through 4, suggesting improved fit for the adjusted models.
“The R 2 values ranged from 0.05 to 0.28 for continuous outcomes for children and increased across models 1 through 4, suggesting improved fit for the adjusted models.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenFor childhood outcomes in this prospective study, pubertal status was determined and adiposity was characterized using standardized procedures via multiple methods.
“For childhood outcomes in this prospective study, pubertal status was determined and adiposity was characterized using standardized procedures via multiple methods.”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
InterpretationcitationThis study addressed limitations of previous studies examining the association of gestational diabetes with childhood adiposity, including lack of complete data on glucose values during pregnancy, maternal BMI, and childhood measures of age-adjusted BMI.
“This study also addressed limitations of previous studies examining the association of gestational diabetes with childhood adiposity, including lack of complete data on glucose values during pregnancy, maternal BMI, and childhood measures of age-adjusted BMI.30,[36][37][38][39][40]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites 30,[36][37][38][39][40]
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenBeyond family history, paternal data were not available.
“Fourth, beyond family history, paternal data were not available.”
Quote in the paperNot a substantial claimMay combine two claims.
InterpretationreasoningThe excluded subgroup likely would have included mothers with higher outcome frequencies for type 2 diabetes and prediabetes at follow-up and children at the highest risk of overweight or obesity; therefore, the reported associations may be underestimates.
“This subgroup likely would have included mothers with higher outcome frequencies for type 2 diabetes and prediabetes at the time of this follow-up study and children at the highest risk of overweight or obesity; therefore, the reported associations may be underestimates.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataThe C statistics for the logistic regression models ranged from 0.61 to 0.86 for the outcomes of mothers and increased across models 1 through 3, suggesting better model fit for the outcomes of mothers with covariate adjustments.
“The C statistics for the logistic regression models ranged from 0.61 to 0.86 for the outcomes of mothers and increased across models 1 through 3, suggesting better model fit for the outcomes of mothers with covariate adjustments.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Whether women meeting the IADPSG criteria for gestational diabetes and their offspring are at risk for long-term adverse outcomes is unclear.
“Whether women meeting the IADPSG criteria for gestational diabetes and their offspring are at risk for long-term adverse outcomes is unclear.”
The authors state this as an assumption.
Missing data for Tanner stage are missing at random.
“Multiple imputation under a missing at random assumption 18,19 using the Mice R package 20 was used in the analyses to model the outcomes for children to account for missing data for Tanner stage”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The HAPO Follow Up Study results clearly demonstrate that maternal glycemia is associated with immediate and long-term adverse outcomes for both mother and offspring.
“The results clearly demonstrate that maternal glycemia is associated with immediate and long-term adverse outcomes for both mother and offspring.”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [268]
The Abstract (page unavailable) says the original HAPO Study linked pregnancy glucose levels to perinatal outcomes, while the follow-up examined long-term outcomes in mothers and children. The Discussion (page unavailable) reports a long-term association with maternal glucose disorders and some childhood adiposity measures, but says the association with childhood overweight or obesity was not statistically significant. The claim overstates these findings by saying the follow-up results clearly demonstrate immediate and long-term adverse outcomes for both mother and offspring. (LLM, conf=0.86)
Experimental — accuracy not yet measuredThe HAPO FUS documented in both groups that risk of disorders of glucose metabolism at follow-up were associated with GDM and continuously with maternal glucose concentrations.
“The HAPO FUS documented in both groups that risk of disorders of glucose metabolism at follow-up were associated with GDM and continuously with maternal glucose concentrations (268,269).”
From Guidelines and Recommendations for Laboratory Analysis in the Diagnosis and Management of Diabetes Mellitus (2023) · cites this paper as [268]
The ‘Gestational Diabetes Status and Maternal Outcomes’ results report that disorders of glucose metabolism at follow-up were more frequent in mothers with gestational diabetes (52.2%) than in those without it (20.1%). This paper’s child outcomes concern adiposity, not disorders of glucose metabolism, and the passages do not establish a continuous association between maternal glucose concentrations and follow-up glucose disorders in both mothers and children. No page number is available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredA follow-up study of individuals participating in a study of pregnancy OGTTs with glucose levels blinded to caregivers found that 11 years after their pregnancies, individuals who would have been diagnosed with GDM by the one-step approach, compared with those without GDM, were at 3.4-fold higher risk of developing prediabetes and type 2 diabetes and had children with a higher risk of obesity and
“A follow-up study of individuals participating in a study of pregnancy OGTTs with glucose levels blinded to caregivers found that 11 years after their pregnancies, individuals who would have been diagnosed with GDM by the one-step approach, as compared with those without GDM, were at 3.4-fold higher risk of developing prediabetes and type 2 diabetes and had children with a higher risk of obesity”
From 2. Diagnosis and Classification of Diabetes: <i>Standards of Care in Diabetes—2024</i> (2024) · cites this paper as [210]
Split into 2 atoms — 1 confirmed, 1 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Experimental — accuracy not yet measuredMaternal glycemic dysregulation correlates with increased prevalence of impaired fasting glucose, glucose intolerance, elevated glycated hemoglobin, and pediatric obesity in adolescent offspring.
“Maternal glycemic dysregulation correlated with increased prevalence of impaired fasting glucose, glucose intolerance, elevated glycated hemoglobin, and pediatric obesity in adolescent offspring.”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [32]
The childhood-outcomes section reports more overweight or obesity among children whose mothers had gestational diabetes. But the Primary and Secondary Outcomes section assigns impaired fasting glucose and impaired glucose tolerance to the mothers, not the offspring; our copy does not report elevated glycated hemoglobin in the offspring. The children’s mean age was 11.4 years, so describing them all as adolescents also overstates the study population. (LLM, conf=0.90)
Experimental — accuracy not yet measuredA dose-dependent relationship exists between maternal antenatal glycemia and offspring metabolic parameters across the continuum of glucose concentrations.
“A dose-dependent relationship emerged between maternal antenatal glycemia and offspring metabolic parameters across the continuum of glucose concentrations.”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [32]
The Secondary Outcomes section (page unavailable) reports higher childhood adiposity measures among offspring of mothers with gestational diabetes than among those without it. It does not establish a dose-dependent relationship across the continuum of maternal glucose concentrations: the reported comparison is by gestational-diabetes status, and the child outcomes described are adiposity measures rather than metabolic parameters generally. (LLM, conf=0.87)
Experimental — accuracy not yet measured
HAPO-FUS found persistent metabolic consequences of maternal hyperglycemia on long-term offspring glucose homeostasis, extending to glycemic levels below current GDM diagnostic thresholds.
“Findings revealed persistent metabolic consequences of maternal hyperglycemia on long-term offspring glucose homeostasis, notably extending to glycemic levels below current GDM diagnostic thresholds.”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [32]
The Abstract and Primary and Secondary Outcomes section describe follow-up 10–14 years after pregnancy, but distinguish maternal glucose-metabolism outcomes from childhood adiposity outcomes. The Secondary Outcomes section reports greater adiposity in children exposed to gestational diabetes; it does not establish altered offspring glucose homeostasis. The paper defines the exposure using IADPSG gestational-diabetes thresholds, so these findings do not establish offspring effects below those thresholds. (LLM, conf=0.88)
Experimental — accuracy not yet measuredExploratory analyses of the HAPO follow-up study demonstrated a significant increasing trend of worse maternal (glycemic profile) and offspring (adiposity) outcomes from non-GDM to GDM exclusively by the IADPSG criteria to GDM by the Carpenter-Coustan criteria.
“Exploratory analyses of the HAPO follow-up study demonstrated a significant increasing trend of worse maternal (glycemic profile) and offspring (adiposity) outcomes from non-GDM to GDM exclusively by the IADPSG criteria to GDM by the Carpenter-Coustan criteria [85].”
From Gestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications (2022) · cites this paper as [85]
Gestational diabetes mellitus (GDM) is associated with various adverse pregnancy outcomes.
“The Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study 1 and subsequently follow‐up studies 2 , 3 , 4 have reported that gestational diabetes mellitus (GDM) is associated with various adverse pregnancy outcomes, which increases the mother's susceptibility to developing type 2 diabetes, and the child's susceptibility to developing obesity and impaired glucose tolerance in the future 3 , 4 , 5”
From Clinical challenges in early pregnancy in Japan: An update on gestational diabetes (2024) · cites this paper as [2]
Many researchers consider gestational diabetes mellitus treatment highly cost-effective when benefits of future maternal type 2 diabetes mellitus and childhood obesity risk reduction are considered.
“However, many researchers consider GDM treatment highly cost-effective when the benefits of future maternal T2DM and childhood obesity risk reduction are taken into account32,42–45.”
From A global view of hypertensive disorders and diabetes mellitus during pregnancy (2022) · cites this paper as [44]
The Secondary Outcomes and Gestational Diabetes Status and Outcomes for Children sections report associations between gestational diabetes and later maternal type 2 diabetes and childhood adiposity (page numbers unavailable). Searches for cost-effectiveness, treatment, and prevention found no passage saying that GDM treatment reduces those risks or is considered highly cost-effective. (LLM, conf=0.76)
Experimental — accuracy not yet measuredEarly diagnosis of GDM is crucial because it predisposes offspring to early development of type 2 diabetes and cardiovascular diseases and allows timely improvement of clinical management.
“In light of this evidence, early diagnosis of gestational diabetes mellitus (GDM) is crucial, as it predisposes offspring to the early development of type 2 diabetes and cardiovascular diseases and allows for the timely improvement and optimization of clinical management and therapeutic interventions [31,32,33,34].”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [32]
The Abstract and Primary and Secondary Outcomes sections examine maternal type 2 diabetes and childhood adiposity, not type 2 diabetes or cardiovascular disease developing in offspring. Searches for offspring diabetes, cardiovascular disease, early diagnosis, and treatment found no passage establishing that early diagnosis improves clinical management or therapeutic outcomes. (LLM, conf=0.76)
Experimental — accuracy not yet measuredMaternal glucose elevation has inverse associations with offspring insulin sensitivity and HOMA indices at 14 years, persisting after adjustment for maternal BMI, offspring BMI, and familial diabetes predisposition.
“Conversely, maternal glucose elevation demonstrated inverse associations with offspring insulin sensitivity and homeostatic model assessment (HOMA) indices at 14 years, with these relationships persisting after statistical adjustment for maternal body mass index, offspring BMI, and familial diabetes predisposition.”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [32]
The Abstract and Secondary Outcomes sections report childhood adiposity outcomes, not offspring insulin sensitivity or HOMA indices. Searches for HOMA, insulin sensitivity, and the claimed adjustments found no passage reporting those associations; the Outcomes for Children section describes adjustments for adiposity analyses instead. The available passages have no page numbers. (LLM, conf=0.76)
Experimental — accuracy not yet measuredIncreased glucose-linked hypothalamic activation in offspring exposed to maternal obesity and GDM in utero is one possible mechanism for increased childhood obesity risk.
“Furthermore, recent evidence shows that there is increased glucose-linked hypothalamic activation in offspring who were previously exposed to maternal obesity and GDM in utero, which represents one possible mechanism for this increased childhood obesity risk [31,32,60,61].”
From Maternal Overnutrition and Fetal Programming: Long-Term Metabolic, Cognitive, and Epigenetic Consequences (2026) · cites this paper as [32]
The Discussion reports an association between gestational diabetes and measures of childhood adiposity, but does not address hypothalamic activation or propose it as a mechanism. Searches for glucose-linked hypothalamic activation and neural responses to glucose in exposed offspring found no relevant passage in our copy. Page numbers were not available. (LLM, conf=0.72)
Experimental — accuracy not yet measuredThe IADPSG screening strategy might lead to a lower proportion at risk of postpartum glucose intolerance.
“In general, the IADPSG screening strategy identifies women with milder degrees of hyperglycemia during pregnancy compared to other diagnostic criteria and screening strategies (two-step or selective screening), which might lead to a lower proportion at risk of postpartum glucose intolerance [9,10,11].”
From The Risk for Glucose Intolerance after Gestational Diabetes Mellitus since the Introduction of the IADPSG Criteria: A Systematic Review and Meta-Analysis (2019) · cites this paper as [11]
The IADPSG screening strategy identifies women with milder degrees of hyperglycemia during pregnancy compared to other diagnostic criteria and screening strategies (two-step or selective screening).
“In general, the IADPSG screening strategy identifies women with milder degrees of hyperglycemia during pregnancy compared to other diagnostic criteria and screening strategies (two-step or selective screening), which might lead to a lower proportion at risk of postpartum glucose intolerance [9,10,11].”
From The Risk for Glucose Intolerance after Gestational Diabetes Mellitus since the Introduction of the IADPSG Criteria: A Systematic Review and Meta-Analysis (2019) · cites this paper as [11]
In the HAPO follow-up, T2DM rates were 10.7% in untreated women with GDM by IADPSG criteria vs. 1.6% in women without GDM.
“A follow-up of the HAPO study 10–14 years postpartum showed that untreated women with GDM, defined post hoc by the IADPSG criteria, had significantly higher rates of a glucose metabolism disorder than women without GDM (52.2% vs. 20.1% (T2DM 10.7% vs. 1.6%)) [11].”
From The Risk for Glucose Intolerance after Gestational Diabetes Mellitus since the Introduction of the IADPSG Criteria: A Systematic Review and Meta-Analysis (2019) · cites this paper as [11]
GDM according to the CC criteria was associated with a much higher risk for T2DM (20% vs. 7.9%) compared to women with GDM according to the IADPSG criteria alone.
“However, GDM, according to the CC criteria, was associated with a much higher risk for T2DM (20% vs. 7.9%) compared to women with GDM according to the IADPSG criteria alone [11].”
From The Risk for Glucose Intolerance after Gestational Diabetes Mellitus since the Introduction of the IADPSG Criteria: A Systematic Review and Meta-Analysis (2019) · cites this paper as [11]
In a follow-up of the HAPO study 10-14 years postpartum, untreated women with GDM, defined post hoc by the IADPSG criteria, had significantly higher rates of a glucose metabolism disorder than women without GDM (52.2% vs. 20.1%).
“A follow-up of the HAPO study 10–14 years postpartum showed that untreated women with GDM, defined post hoc by the IADPSG criteria, had significantly higher rates of a glucose metabolism disorder than women without GDM (52.2% vs. 20.1% (T2DM 10.7% vs. 1.6%)) [11].”
From The Risk for Glucose Intolerance after Gestational Diabetes Mellitus since the Introduction of the IADPSG Criteria: A Systematic Review and Meta-Analysis (2019) · cites this paper as [11]
Potential adverse offspring outcomes vary by age group, and avoiding one outcome does not indicate reduced risk of other adverse outcomes.
“Potential adverse offspring outcomes vary by age group (Table 4) and avoidance of one outcome does not indicate reduction in risk of other adverse outcomes.21,24,25”
From Gestational Diabetes Mellitus (2019) · cites this paper as [21]
HAPO FUS extended earlier findings by demonstrating specific increases in adipose tissue using several methodologies.
“This study, along with others,44,45 extended earlier findings of higher weight among offspring of mothers with diabetes by demonstrating specific increases in adipose tissue using several methodologies, including skinfold thicknesses with calipers, waist circumference, dual-energy X-ray absorptiometry, and air displacement plethysmography.”
From Gestational Diabetes Mellitus (2019) · cites this paper as [21]
Excessive adiposity among GDM offspring has recently been documented in childhood.
“Only recently has the finding of excessive adiposity among GDM offspring been documented in childhood.21”
From Gestational Diabetes Mellitus (2019) · cites this paper as [21]
The HAPO Follow-up Study demonstrated that offspring exposed to mild, untreated maternal hyperglycemia had higher rates of adiposity at a mean age of 11.4 years.
“The HAPO Followup Study (FUS) demonstrated that offspring exposed to mild, untreated maternal hyperglycemia had higher rates of adiposity at a mean age of 11.4 years.21”
From Gestational Diabetes Mellitus (2019) · cites this paper as [21]
Perinatal and long-term offspring outcomes following exposure to diabetes in pregnancy are directly related to glycemic control during pregnancy.
“Perinatal and long-term offspring outcomes following exposure to diabetes in pregnancy are directly related to glycemic control during pregnancy.11,20–22”
From Gestational Diabetes Mellitus (2019) · cites this paper as [21]
The HAPO FUS results were somewhat attenuated by maternal BMI.
“These results were somewhat attenuated by maternal BMI.”
From Gestational Diabetes Mellitus (2019) · cites this paper as [21]
Increased rates of adiposity and disorders of glucose metabolism have been demonstrated in peripubertal offspring of mothers with mild, untreated GDM.
“Increased rates of adiposity and disorders of glucose metabolism in peripubertal offspring of mothers with mild, untreated GDM have been demonstrated.21”
From Gestational Diabetes Mellitus (2019) · cites this paper as [21]
In HAPO follow-up, among 681 offspring of women whose pregnancy OGTTs met IADPSG criteria for GDM compared with 4094 offspring of mothers whose OGTTs did not meet GDM criteria, obesity rates at an average age of 11 years were 19% versus 10%.
“When 681 offspring of HAPO women whose pregnancy OGTTs met the IADPSG criteria for GDM were compared with 4094 offspring of mothers whose pregnancy OGTTs did not meet GDM criteria, at an average 11 years of age, obesity rates were 19% vs 10%.33”
From One-step or 2-step testing for gestational diabetes: which is better? (2021) · cites this paper as [33]
Even after adjustment for multiple potential confounders, the odds ratio was 3.44 (95% CI, 2.85-4.14).
“Even when adjusted for multiple potential confounders, the odds ratio was 3.44 (CI, 2.85e4.14).”
From One-step or 2-step testing for gestational diabetes: which is better? (2021) · cites this paper as [33]
After adjustment for an extensive set of potential confounders, the odds ratio for childhood obesity remained 1.58 (95% CI, 1.56-2.44).
“When adjusted for an exhaustive list of potential confounders, the odds ratio for childhood obesity remained at 1.58 (confidence interval [CI], 1.56e2.44).”
From One-step or 2-step testing for gestational diabetes: which is better? (2021) · cites this paper as [33]
At about 11 years after their HAPO pregnancies, 52% of 663 HAPO participants whose pregnancy OGTTs met IADPSG criteria for GDM had diabetes or prediabetes, compared with 20% of those whose OGTTs did not meet IADPSG criteria.
“At approximately 11 years after their HAPO pregnancies, 52% of 663 HAPO participants who had GDM based on their pregnancy OGTTs meeting the IADPSG criteria for GDM had diabetes”
From One-step or 2-step testing for gestational diabetes: which is better? (2021) · cites this paper as [33]
Associations between glucose metabolism disorders and long-term adverse outcomes are continuous and graded, and mothers with IADPSG GDM and their offspring have predictable long-term adverse outcomes that fall between those of non-GDM and Carpenter and Coustan GDM groups.
“These associations demonstrate that, similar to the short-term outcomes of the HAPO Study, associations of disorders of glucose metabolism and long-term adverse outcomes are continuous and graded and that mothers with IADPSG GDM and their offspring have predictable long-term adverse outcomes which are intermediate between non-GDMs and Carpenter and Coustan GDMs.”
From One-step or 2-step testing for gestational diabetes: which is better? (2021) · cites this paper as [33]
Findings varied little under a missing-not-at-random assumption.
“A “missing at random” assumption was used after confirming findings varied little under “missing not at random” (14).”
From Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism (2019) · cites this paper as [14]
The recruitment target was 7,000 mother-child pairs, based on the primary childhood outcome of overweight/obesity.
“The recruitment target was 7,000 pairs, based on the primary childhood outcome of overweight/obesity (14).”
From Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism (2019) · cites this paper as [14]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Reported model 4 C-statistic range omits the obesity result
MinorThe text says model 4 C statistics for child outcomes range up to 0.74, but Table 3 reports 0.78 for childhood obesity in model 4.
“with the highest C statistics ranging from 0.68 to 0.74 in model 4.”
“Model 4 f 5.0 (2.0 to 8.0) .001 1.58 (1.24 to 2.01) <.001 0.78 0.26 (-0.06 to 0.57) h”
Childhood obesity comparison group differs by one child
MinorThe results report 405 obese children among 4094 children of mothers without gestational diabetes, but Table 4 gives 4095 for the same 405 cases.
“19.1% (130/681) were obese compared with 9.9% (405/4094) of children whose mothers did not have gestational diabetes.”
“| Obesity f | 91/522 (17.4) | 39/159 (24.5) | 405/4095 (9.9) |”
Maternal comparison group has two different denominators
MinorTable 2 reports 791 cases among 3946 mothers without gestational diabetes, while Table 4 reports the same 791 cases among 3945. The tables therefore disagree on the number assessed for this outcome.
“| Composite of type 2 diabetes | 346/663 (52.2) | 791/3946 (20.1) |”
“| Disorder of glucose metabolism d,e | 240/508 (47.2) | 106/155 (68.4) | 791/3945 (20.0) |”
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
(1990) · Choice Reviews Online · doi:10.5860/choice.27-3338 · Cited by 35,305 · see citing works
Multiple Imputation for Nonresponse in Surveys
Rubin, D. B. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316696 · Cited by 20,701 · see citing works
Diagnosis and Classification of Diabetes Mellitus
American Diabetes Association (2010) · Diabetes Care · doi:10.2337/dc11-s062 · Cited by 14,019 · see citing works
<b>mice</b>: Multivariate Imputation by Chained Equations in<i>R</i>
Buuren, S. V., & Groothuis-Oudshoorn, K. (2011) · Journal of Statistical Software · doi:10.18637/jss.v045.i03 · Cited by 13,870 · see citing works
Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013) · Wiley Series in Probability and Statistics · doi:10.1002/9781118548387 · Cited by 13,861 · see citing works
(2010) · University of Twente Research Information · Cited by 6,037 · see citing works
Diagnosis and classification of diabetes mellitus
American Diabetes Association (2014) · Diabetes Care · doi:10.2337/dc14-s081 · Cited by 5,974 · see citing works
Hyperglycemia and adverse pregnancy outcomes
(2008) · New England Journal of Medicine · doi:10.1056/nejmoa0707943 · Cited by 5,563 · see citing works
International Association of Diabetes and Pregnancy Study Groups Consensus Panel (2010) · Diabetes Care · doi:10.2337/dc09-1848 · Cited by 5,390 · see citing works
Oxyl radicals, redox-sensitive signalling cascades and antioxidants
Genestra, M. (2007) · Cellular Signalling · doi:10.1016/j.cellsig.2007.04.009 · Cited by 4,930 · see citing works
Type 2 diabetes mellitus after gestational diabetes: a systematic review and meta-analysis
Bellamy, L., Casas, J.-P., Hingorani, A. D., & Williams, D. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60731-5 · Cited by 3,253 · see citing works
Extended international ( IOTF ) body mass index cut‐offs for thinness, overweight and obesity
Cole, T. J., & Lobstein, T. (2012) · Pediatric Obesity · doi:10.1111/j.2047-6310.2012.00064.x · Cited by 3,135 · see citing works
Spear, B. A., Winick, M., Phillips, C., & Wilfley, D. E. (1975) · Cited by 2,495 · see citing works
Elective induction versus spontaneous labor after sonographic diagnosis of fetal macrosomia.
Combs, C. A., Singh, N. B., & Khoury, J. C. (1993) · PubMed · Cited by 2,462 · see citing works
Buchanan, T. A., & Xiang, A. H. (2005) · Journal of Clinical Investigation · doi:10.1172/jci200524531 · Cited by 2,123 · see citing works
Banting lecture 1980: of pregnancy and progeny.
Freinkel, N. (1980) · Diabetes · doi:10.2337/diab.29.12.1023 · Cited by 1,366 · see citing works
Higgins (2002) · doi:10.1002/(issn)1097-0258 · Cited by 1,248 · see citing works
(2014) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.10.012 · Cited by 914 · see citing works
Self-citationMaternal Gestational Diabetes, Birth Weight, and Adolescent Obesity
Gillman, M. W., Rifas‐Shiman, S. L., Berkey, C. S., Field, A. E., & Colditz, G. A. (2003) · PEDIATRICS · doi:10.1542/peds.111.3.e221 · Cited by 709 · see citing works
Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study
The HAPO Study Cooperative Research Group (2009) · Diabetes · doi:10.2337/db08-1112 · Cited by 702 · see citing works
Sacks, D. A., Hadden, D. R., Maresh, M., Deerochanawong, C., Dyer, A. R., Metzger, B. E., Lowe, L. P., Coustan, D. R., Hod, M., Oats, J. J. N., et al. (2012) · Diabetes Care · doi:10.2337/dc11-1641 · Cited by 687 · see citing works
Self-citationLawrence, J. M., Contreras, R., Chen, W., & Sacks, D. A. (2008) · Diabetes Care · doi:10.2337/dc07-2345 · Cited by 658 · see citing works
Self-citationChildhood Obesity and Metabolic Imprinting
Hillier, T. A., Pedula, K. L., Schmidt, M. M., Mullen, J. A., Charles, M.-A., & Pettitt, D. J. (2007) · Diabetes Care · doi:10.2337/dc06-2361 · Cited by 656 · see citing works
Perinatal risk factors for childhood obesity and metabolic dysregulation
Catalano, P. M., Farrell, K., Thomas, A., Huston-Presley, L., Mencin, P., de Mouzon, S. H., & Amini, S. B. (2009) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2008.27416 · Cited by 553 · see citing works
Self-citationMaternal environment and the transgenerational cycle of obesity and diabetes.
Dabelea, D., & Crume, T. (2011) · Diabetes · doi:10.2337/db11-0400 · Cited by 347 · see citing works
Practice Bulletin No. 180: gestational diabetes mellitus.
(2017) · Obstetrics & Gynecology · doi:10.1097/aog.0000000000002159 · Cited by 324 · see citing works
Lakshman, R., Elks, C. E., & Ong, K. K. (2012) · Circulation · doi:10.1161/circulationaha.111.047738 · Cited by 318 · see citing works
Type 2 Diabetes Mellitus After Gestational Diabetes: A Systematic Review and Meta-Analysis
Bellamy, L., Casas, J. P., Hingorani, A. D., & Williams, D. (2010) · Obstetric Anesthesia Digest · doi:10.1097/01.aoa.0000370496.77221.05 · Cited by 293 · see citing works
A. Lawlor, D., Fraser, A., Lindsay, R. S., Ness, A., Dabelea, D., Catalano, P., Davey Smith, G., Sattar, N., & Nelson, S. M. (2010) · Diabetologia · doi:10.1007/s00125-009-1560-z · Cited by 238 · see citing works
Self-citationPredictors of postpartum diabetes in women with gestational diabetes mellitus
Löbner, K., Knopff, A., Baumgarten, A., Mollenhauer, U., Marienfeld, S., Garrido-Franco, M., Bonifacio, E., & Ziegler, A.-G. (2006) · Diabetes · doi:10.2337/diabetes.55.03.06.db05-0746 · Cited by 234 · see citing works
Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables
White, I., Daniel, R., & Royston, P. (2010) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2010.04.005 · Cited by 223 · see citing works
Early prediction of autoimmune (type 1) diabetes.
Regnell, S. E., & Lernmark, Å. (2017) · Diabetologia · doi:10.1007/s00125-017-4308-1 · Cited by 195 · see citing works
Kim, S. Y., England, J. L., Sharma, J. A., & Njoroge, T. (2011) · Experimental Diabetes Research · doi:10.1155/2011/541308 · Cited by 193 · see citing works
A modified least-squares regression approach to the estimation of risk difference.
Cheung, Y. B. (2007) · American Journal of Epidemiology · doi:10.1093/aje/kwm223 · Cited by 189 · see citing works
The diabetic pregnancy and offspring BMI in childhood: a systematic review and meta-analysis
Philipps, L. H., Santhakumaran, S., Gale, C., Prior, E., Logan, K. M., Hyde, M. J., & Modi, N. (2011) · Diabetologia · doi:10.1007/s00125-011-2180-y · Cited by 182 · see citing works
Tam, W. H., Ma, R. C. W., Yang, X., Ko, G. T. C., Tong, P. C. Y., Cockram, C. S., Sahota, D. S., Rogers, M. S., & Chan, J. C. N. (2008) · Pediatrics · doi:10.1542/peds.2008-0158 · Cited by 158 · see citing works
Self-citationGestational diabetes: predictors of subsequent disordered glucose metabolism.
Coustan, D. R., Carpenter, M. W., O'Sullivan, P. S., & Carr, S. R. (1993) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(93)90358-p · Cited by 153 · see citing works
Catalano, P. M., Vargo, K. M., Bernstein, I. M., & Amini, S. B. (1991) · American Journal of Obstetrics and Gynecology · doi:10.1016/0002-9378(91)90438-w · Cited by 145 · see citing works
Self-citationBao, W., Yeung, E., Tobias, D. K., Hu, F. B., Vaag, A. A., Chavarro, J. E., Mills, J. L., Grunnet, L. G., Bowers, K., Ley, S. H., et al. (2015) · Diabetologia · doi:10.1007/s00125-015-3537-4 · Cited by 137 · see citing works
Maternal gestational diabetes and childhood obesity at age 9-11: results of a multinational study
for the ISCOLE Research Group, Zhao, P., Liu, E., Qiao, Y., Katzmarzyk, P. T., Chaput, J.-P., Fogelholm, M., Johnson, W. D., Kuriyan, R., Kurpad, A., et al. (2016) · Diabetologia · doi:10.1007/s00125-016-4062-9 · Cited by 122 · see citing works
Gestational diabetes and childhood obesity: what is the link?
Kim, S. Y., Sharma, A. J., & Callaghan, W. M. (2012) · Current Opinion in Obstetrics & Gynecology · doi:10.1097/gco.0b013e328359f0f4 · Cited by 112 · see citing works
Scholtens, D. M., Bain, J. R., Reisetter, A. C., Muehlbauer, M. J., Nodzenski, M., Stevens, R. D., Ilkayeva, O., Lowe, L. P., Metzger, B. E., Newgard, C. B., et al. (2016) · Diabetes · doi:10.2337/db15-1748 · Cited by 69 · see citing works
Self-citationCarr, D. B., Newton, K. M., Utzschneider, K. M., Tong, J., Gerchman, F., Kahn, S. E., & Heckbert, S. R. (2008) · Diabetes Care · doi:10.2337/dc07-1957 · Cited by 65 · see citing works
Donovan, L. E., & Cundy, T. (2015) · Diabetic Medicine · doi:10.1111/dme.12625 · Cited by 57 · see citing works
Metabolomics of Diabetes in Pregnancy.
McCabe, C. F., & Perng, W. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0890-3 · Cited by 41 · see citing works
Bao, W., Chavarro, J. E., Tobias, D. K., Bowers, K. A., Li, S., Hu, F. B., & Zhang, C. (2016) · American Journal of Clinical Nutrition · doi:10.3945/ajcn.115.108712 · Cited by 32 · see citing works
Does exposure to hyperglycaemia in utero increase the risk of obesity and diabetes in the offspring?
Donovan, L., & Cundy, T. (2015) · Diabetic Medicine · doi:10.1111/dme.12974 · Cited by 4 · see citing works
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Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., Buxton, A. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001123 · Cited by 8,300 · see citing works
Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Alonso, A., Beaton, A. Z., Bittencourt, M. S., Boehme, A. K., Buxton, A. E., Carson, A. P., Commodore-Mensah, Y., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001052 · Cited by 5,987 · see citing works
Heart Disease and Stroke Statistics—2021 Update: A Report From the American Heart Association
Virani, S. S., Alonso, A., Aparicio, H. J., Benjamin, E. J., Bittencourt, M. S., Callaway, C. W., Carson, A. P., Chamberlain, A. M., Cheng, S., Delling, F. N., et al. (2021) · Circulation · doi:10.1161/cir.0000000000000950 · Cited by 5,784 · see citing works
2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2022</i>
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s002 · Cited by 4,792 · see citing works
“4-fold higher risk of developing prediabetes and type 2 diabetes and had children with a higher risk of obesity and increased body fat, suggesting that the larger group of women identified by the one-step approach would benefit from the increased screening for diabetes and prediabetes that would accompany a history of…”
Background2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2020</i>
American Diabetes Association (2020) · Diabetes Care · doi:10.2337/dc20-s002 · Cited by 3,187 · see citing works
“4-fold higher risk of developing prediabetes and type 2 diabetes and had children with a higher risk of obesity and increased body fat, suggesting that the larger group of women identified by the one-step approach would benefit from increased screening for diabetes and prediabetes that would accompany a history of GDM…”
Background2. Classification and Diagnosis of Diabetes: <i>Standards of Medical Care in Diabetes—2021</i>
American Diabetes Association (2021) · Diabetes Care · doi:10.2337/dc21-s002 · Cited by 3,116 · see citing works
2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes—2019
(2018) · Diabetes Care · doi:10.2337/dc19-s002 · Cited by 2,738 · see citing works
Martin, S. S., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Barone Gibbs, B., Beaton, A. Z., Boehme, A. K., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001209 · Cited by 2,800 · see citing works
2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes—2023
ElSayed, N. A., Aleppo, G., Aroda, V. R., Bannuru, R. R., Brown, F. M., Bruemmer, D., Collins, B. S., Gaglia, J. L., Hilliard, M. E., Isaacs, D. M., et al. (2022) · Diabetes Care · doi:10.2337/dc23-s002 · Cited by 2,652 · see citing works
2. Diagnosis and Classification of Diabetes: <i>Standards of Care in Diabetes—2024</i>
American Diabetes Association Professional Practice Committee, ElSayed, N. A., Aleppo, G., Bannuru, R. R., Bruemmer, D., Collins, B. S., Ekhlaspour, L., Gaglia, J. L., Hilliard, M. E., Johnson, E. L., et al. (2024) · Diabetes Care · doi:10.2337/dc24-s002 · Cited by 2,086 · see citing works
McIntyre, H. D., Catalano, P., Zhang, C., Desoye, G., Mathiesen, E. R., & Damm, P. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0098-8 · Cited by 1,850 · see citing works
Self-citation2023 ESC guidelines for the management of cardiovascular disease in patients with diabetes.
Marx, N., Federici, M., Schütt, K., Müller-Wieland, D., Ajjan, R. A., Antunes, M. J., Christodorescu, R. M., Crawford, C., Di Angelantonio, E., Eliasson, B., et al. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad192 · Cited by 1,642 · see citing works
2. Diagnosis and classification of diabetes: standards of care in diabetes-2025
American Diabetes Association Professional Practice Committee, ElSayed, N. A., McCoy, R. G., Aleppo, G., Balapattabi, K., Beverly, E. A., Briggs Early, K., Bruemmer, D., Ebekozien, O., Echouffo-Tcheugui, J. B., et al. (2025) · Diabetes Care · doi:10.2337/dc25-s002 · Cited by 1,393 · see citing works
Influence of Maternal Obesity on the Long-Term Health of Offspring
Godfrey, K. M., Reynolds, R. M., Prescott, S. L., Nyirenda, M., Jaddoe, V. W. V., Eriksson, J. G., & Broekman, B. F. P. (2017) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(16)30107-3 · Cited by 1,059 · see citing works
The Lancet Commission on diabetes: using data to transform diabetes care and patient lives
Chan, J. C. N., Lim, L.-L., Wareham, N. J., Shaw, J. E., Orchard, T. J., Zhang, P., Lau, E. S. H., Eliasson, B., Kong, A. P. S., Ezzati, M., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)32374-6 · Cited by 793 · see citing works
Self-citationLowe, W. L., Scholtens, D. M., Kuang, A., Linder, B., Lawrence, J. M., Lebenthal, Y., McCance, D., Hamilton, J., Nodzenski, M., Talbot, O., et al. (2019) · Diabetes Care · doi:10.2337/dc18-1646 · Cited by 574 · see citing works
“Multiple imputation was used to account for missing data using a “ missing at random ” assumption after con fi rm-ing fi ndings varied little under “ missing not at random ” (13).”
InfluentialSelf-citationGlobal Prevalence of Overweight and Obesity in Children and Adolescents
Zhang, X., Liu, J., Ni, Y., Cheng, Y., Fang, Y., Ning, Q., Shen, B., Zhang, K., Liu, Y., Yang, L., et al. (2024) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2024.1576 · Cited by 617 · see citing works
Gestational diabetes: opportunities for improving maternal and child health
Saravanan, P., Magee, L. A., Banerjee, A., Coleman, M. A., von Dadelszen, P., Denison, F. C., Farmer, A. A., Finer, S., Fox-Rushby, J. A., Holt, R. I. G., et al. (2020) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(20)30161-3 · Cited by 436 · see citing works
Self-citationEpidemiology and management of gestational diabetes
Sweeting, A., Hannah, W., Backman, H., Catalano, P., Feghali, M., Herman, W. H., Hivert, M.-F., Immanuel, J., Meek, C., Oppermann, M. L., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)00825-0 · Cited by 431 · see citing works
Self-citationGestational Diabetes Mellitus: Diagnostic Approaches and Maternal-Offspring Complications
Moon, J. H., & Jang, H. C. (2022) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2021.0335 · Cited by 377 · see citing works
“Exploratory analyses of the HAPO follow-up study demonstrated a significant increasing trend of worse maternal (glycemic profile) and offspring (adiposity) outcomes from nonGDM to GDM exclusively by the IADPSG criteria to GDM by the Carpenter-Coustan criteria [85].”
Method2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes—2026
American Diabetes Association Professional Practice Committee for Diabetes*, Bajaj, M., McCoy, R. G., Balapattabi, K., Bannuru, R. R., Bellini, N. J., Bennett, A. K., Beverly, E. A., Briggs Early, K., ChallaSivaKanaka, S., et al. (2026) · Diabetes Care · doi:10.2337/dc26-s002 · Cited by 473 · see citing works
Szmuilowicz, E. D., Josefson, J. L., & Metzger, B. E. (2019) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2019.05.001 · Cited by 364 · see citing works
Self-citationThe Lancet Commission on diabetes: using data to transform diabetes care and patient lives
Chan, J. C. N., Lim, L., Wareham, N. J., Shaw, J. E., Orchard, T. J., Zhang, P., Lau, E. S. H., Eliasson, B., Kong, A. P. S., Ezzati, M., et al. (2020) · Figshare · Cited by 337 · see citing works
Sacks, D. B., Arnold, M., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Diabetes Care · doi:10.2337/dci23-0036 · Cited by 351 · see citing works
Self-citationTrends in Gestational Diabetes at First Live Birth by Race and Ethnicity in the US, 2011-2019.
Shah, N. S., Wang, M. C., Freaney, P., Perak, A., Carnethon, M., Kandula, N., Gunderson, E., Bullard, K., Grobman, W., O'Brien, M., et al. (2021) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2021.7217 · Cited by 249 · see citing works
A global view of hypertensive disorders and diabetes mellitus during pregnancy
Jiang, L., Tang, K., Magee, L. A., von Dadelszen, P., Ekeroma, A., Li, X., Zhang, E., & Bhutta, Z. A. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00734-y · Cited by 314 · see citing works
Prediction of gestational diabetes based on nationwide electronic health records
Artzi, N. S., Shilo, S., Hadar, E., Rossman, H., Barbash‐Hazan, S., Ben‐Haroush, A., Balicer, R. D., Feldman, B., Wiznitzer, A., & Segal, E. (2020) · Nature Medicine · doi:10.1038/s41591-019-0724-8 · Cited by 289 · see citing works
Scholtens, D. M., Kuang, A., Lowe, L. P., Hamilton, J., Lawrence, J. M., Lebenthal, Y., Brickman, W. J., Clayton, P., Ma, R. C., McCance, D., et al. (2019) · Diabetes Care · doi:10.2337/dc18-2021 · Cited by 310 · see citing works
Self-citationon behalf of the HAPO Follow-up Study Cooperative Research Group, Lowe, W. L., Lowe, L. P., Kuang, A., Catalano, P. M., Nodzenski, M., Talbot, O., Tam, W.-H., Sacks, D. A., McCance, D., et al. (2019) · Diabetologia · doi:10.1007/s00125-018-4809-6 · Cited by 294 · see citing works
“A target sample size of 7000 was specified, with 300 mother–child pairs to be recruited at Chicago and Cleveland and 800 at each of the other eight field centres [16].”
InfluentialSelf-citationHyperglycemia During Pregnancy and Long-Term Offspring Outcomes
Bianco, M. E., & Josefson, J. L. (2019) · Current Diabetes Reports · doi:10.1007/s11892-019-1267-6 · Cited by 253 · see citing works
Self-citationNutrigenetics, epigenetics and gestational diabetes: consequences in mother and child
Franzago, M., Fraticelli, F., Stuppia, L., & Vitacolonna, E. (2019) · Epigenetics · doi:10.1080/15592294.2019.1582277 · Cited by 235 · see citing works
“In addition, GDM can cause complications on the offspring, with short-term effects [24] including macrosomia, shoulder dystocia, birth injury, and prematurity as well as, in line with Freinkel hypothesis [25], long-term consequences upon body composition as well as anthropometric and metabolic functions [24,26].”
BackgroundLi, Z., Cheng, Y., Wang, D., Chen, H., Chen, H., Ming, W.-K., & Wang, Z. (2020) · Journal of Diabetes Research · doi:10.1155/2020/3076463 · Cited by 231 · see citing works
Review of methods for detecting glycemic disorders
Bergman, M., Abdul‐Ghani, M. A., DeFronzo, R. A., Manco, M., Sesti, G., Fiorentino, T. V., Ceriello, A., Rhee, M. K., Phillips, L. S., Chung, S. T., et al. (2020) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108233 · Cited by 202 · see citing works
Gestational Diabetes Mellitus in Europe: A Systematic Review and Meta-Analysis of Prevalence Studies
Paulo, M. S., Abdo, N. M., Bettencourt-Silva, R., & Al-Rifai, R. H. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.691033 · Cited by 181 · see citing works
“org 2 hyperglycemia is an independent risk factor for obesity, hypertension and T2DM in the offspring (14, 15).”
BackgroundPathophysiology from preconception, during pregnancy, and beyond.
Hivert, M.-F., Backman, H., Benhalima, K., Catalano, P., Desoye, G., Immanuel, J., McKinlay, C. J. D., Meek, C. L., Nolan, C. J., Ram, U., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)00827-4 · Cited by 186 · see citing works
Self-citationGuo, L., Ma, J., Tang, J., Hu, D., Zhang, W., & Zhao, X. Q. (2019) · Journal of Diabetes Research · doi:10.1155/2019/9804708 · Cited by 137 · see citing works
“Moreover, GDM increases the risk of macrosomia, large for gestational age, shoulder dystocia, birth injury, neonatal hypoglycemia, preterm birth, hyperbilirubinemia, and others [3, 4].”
BackgroundPerak, A. M., Lancki, N., Kuang, A., Labarthe, D. R., Allen, N. B., Shah, S. H., Lowe, L. P., Grobman, W. A., Lawrence, J. M., Lloyd‐Jones, D. M., et al. (2021) · JAMA · doi:10.1001/jama.2021.0247 · Cited by 137 · see citing works
Self-citationSacks, D. B., Arnold, M. A., Bakris, G. L., Bruns, D. E., Horvath, A. R., Lernmark, Å., Metzger, B. E., Nathan, D. M., & Kirkman, M. S. (2023) · Clinical Chemistry · doi:10.1093/clinchem/hvad080 · Cited by 157 · see citing works
Self-citationGenetics and Epigenetics: New Insight on Gestational Diabetes Mellitus
Dalfrà, M. G., Burlina, S., Vescovo, G. G. D., & Lapolla, A. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.602477 · Cited by 147 · see citing works
Zhou, T., Du, S., Sun, D., Li, X., Heianza, Y., Hu, G., Sun, L., Pei, X., Shang, X., & Qi, L. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.868094 · Cited by 142 · see citing works
Screening for Gestational Diabetes
US Preventive Services Task Force, Davidson, K. W., Barry, M. J., Mangione, C. M., Cabana, M. D., Caughey, A. B., Davis, E. M., Donahue, K. E., Doubeni, C. A., Kubik, M., et al. (2021) · JAMA · doi:10.1001/jama.2021.11922 · Cited by 138 · see citing works
Persistence of Risk for Type 2 Diabetes After Gestational Diabetes Mellitus
Díaz-Santana, M. V., O’Brien, K. M., Park, Y., Sandler, D. P., & Weinberg, C. R. (2022) · Diabetes Care · doi:10.2337/dc21-1430 · Cited by 128 · see citing works
Gestational Diabetes Mellitus and Its Implications across the Life Span
Wicklow, B. A., & Retnakaran, R. R. (2023) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2022.0348 · Cited by 136 · see citing works
“Human observational studies have shown an increased birthweight and neonatal fat mass [55,56], abdominal adiposity [57], and overweight and obesity in those offspring exposed to maternal hyperglycemia and GDM [58-63].”
BackgroundLower versus Higher Glycemic Criteria for Diagnosis of Gestational Diabetes
Crowther, C. A., Samuel, D., McCowan, L. M. E., Edlin, R., Tran, T., & McKinlay, C. J. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2204091 · Cited by 120 · see citing works
Nijs, H., & Benhalima, K. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020599 · Cited by 110 · see citing works
“29 for overweight in the OGDM group [16,19,23,33].”
BackgroundResultInfluentialShort‐ and long‐term outcomes of gestational diabetes and its treatment on fetal development
Murray, S. R., & Reynolds, R. M. (2020) · Prenatal Diagnosis · doi:10.1002/pd.5768 · Cited by 109 · see citing works
“Metformin crosses the placenta and has similar concentrations in fetal and maternal circulations and thus has the potential to affect the developing feto-placental unit.44 A large randomized controlled trial of metformin vs insulin for the treatment of GDM (MiG trial) showed no increased in short term adverse outcomes…”
BackgroundInfluentialGoyal, A., Gupta, Y., Singla, R., Kalra, S., & Tandon, N. (2020) · Diabetes Therapy · doi:10.1007/s13300-020-00865-3 · Cited by 110 · see citing works
Maternal Lifestyle Interventions: Targeting Preconception Health
Moholdt, T. T., & Hawley, J. A. (2020) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2020.03.002 · Cited by 98 · see citing works
de Mendonça, E. L. S. S., Fragoso, M. B. T., de Oliveira, J. M., Xavier, J. A., Goulart, M. O. F., & de Oliveira, A. C. M. (2022) · Antioxidants · doi:10.3390/antiox11010129 · Cited by 112 · see citing works
Understanding diabetes heterogeneity: key steps towards precision medicine in diabetes
Leslie, R. D., Ronald, C. W., Franks, P. W., Nadeau, K. J., Pearson, E. R., & REDONDO, M. J. (2023) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(23)00159-6 · Cited by 99 · see citing works
Fu, J. M., & Retnakaran, R. R. (2022) · EClinicalMedicine · doi:10.1016/j.eclinm.2022.101294 · Cited by 94 · see citing works
Early Metformin in Gestational Diabetes
Dunne, F., Newman, C., Alvarez‐Iglesias, A., Ferguson, J. P., Smyth, A., Browne, M. B., O’Shea, P. M., Devane, D., Gillespie, P., Bogdanet, D., et al. (2023) · JAMA · doi:10.1001/jama.2023.19869 · Cited by 126 · see citing works
Hod, M., Kapur, A., & McIntyre, D. H. (2019) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2019.01.206 · Cited by 85 · see citing works
Gestational Diabetes Mellitus and Developmental Programming
Chu, A. H. Y., & Godfrey, K. M. (2020) · Annals of Nutrition and Metabolism · doi:10.1159/000509902 · Cited by 79 · see citing works
Tandon, N., Gupta, Y., Kapoor, D., Lakshmi, J. K., Praveen, D., Bhattacharya, A., Billot, L., Naheed, A., de Silva, A., Gupta, R., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.0773 · Cited by 76 · see citing works
A Review of the Pathophysiology and Management of Diabetes in Pregnancy
Egan, A. M., Dow, M. L., & Vella, A. V. (2020) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2020.02.019 · Cited by 74 · see citing works
“14).(11) Data from the Diabetes Prevention Program Outcomes Study suggest that in women with a history of GDM and prediabetes, metformin can reduce progression to diabetes by 40% and lifestyle intervention by 35% over 10 years compared with placebo.”
MethodGestationsdiabetes (GDM) (Update 2023)
Kautzky‐Willer, A., Winhofer, Y., Kiss, H., Falcone, V., Berger, A., Lechleitner, M., Weitgasser, R., & Harreiter, J. (2023) · Wiener klinische Wochenschrift · doi:10.1007/s00508-023-02181-9 · Cited by 83 · see citing works
“Bei Nachkommen von GDM Schwangerschaften ist ein erhöhtes Risiko für Übergewicht/Adipositas und T2DM bekannt [70, 75].”
BackgroundInfluentialEarly-onset type 2 diabetes: the next major diabetes transition
Luk, A. O. Y., Wild, S. H., Jones, S., Anjana, R. M., Hivert, M., McCaffrey, J., Gregg, E. W., & Misra, S. (2025) · The Lancet · doi:10.1016/s0140-6736(25)00830-x · Cited by 85 · see citing works
Bilous, R. W., Jacklin, P., Maresh, M., & Sacks, D. A. (2021) · Diabetes Care · doi:10.2337/dc20-2941 · Cited by 62 · see citing works
Self-citationGenetic and inflammatory factors underlying gestational diabetes mellitus: a review
Ray, G. W., Zeng, Q., Kusi, P., Zhang, H., Shao, T., Yang, T., Wei, Y., Li, M., Che, X., & Guo, R. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1399694 · Cited by 76 · see citing works
“Additionally (165), found that mothers with GDM had higher rates of pediatric obesity and maternal glucose metabolism abnormalities, underscoring the intricate relationship between pregnancy-related metabolic disruptions and cardiovascular health outcomes.”
BackgroundPerak, A. M., Lancki, N., Kuang, A., Labarthe, D. R., Allen, N. B., Shah, S. H., Lowe, L. P., Grobman, W. A., Scholtens, D. M., Lloyd‐Jones, D. M., et al. (2020) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2020.07.053 · Cited by 62 · see citing works
Self-citationPreston, E. V., Rifas‐Shiman, S. L., Hivert, M., Zota, A. R., Sagiv, S. K., Calafat, A. M., Oken, E., & James-Todd, T. M. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa328 · Cited by 58 · see citing works
The Joint Associations of Maternal BMI and Glycemia with Childhood Adiposity
Josefson, J. L., Catalano, P. M., Lowe, W. L., Scholtens, D. M., Kuang, A., Dyer, A. R., Lowe, L. P., & Metzger, B. E. (2020) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgaa180 · Cited by 67 · see citing works
Self-citationLifestyle interventions in pregnancy targeting GDM prevention: looking ahead to precision medicine
Sparks, J. R., Ghildayal, N., Hivert, M., & Redman, L. M. (2022) · Diabetologia · doi:10.1007/s00125-022-05658-w · Cited by 62 · see citing works
Gestational Diabetes Mellitus: Mechanisms Underlying Maternal and Fetal Complications
Lee, J., Lee, N. K., & Moon, J. H. (2025) · Endocrinology and Metabolism · doi:10.3803/enm.2024.2264 · Cited by 72 · see citing works
Chen, L., Soh, S. E., Tint, M., Loy, S. L., Yap, F. K. P., Tan, K. H., Lee, Y. S., Shek, L. P., Godfrey, K. M., Gluckman, P. D., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-82789-x · Cited by 58 · see citing works
Chivese, T., Norris, S. A., & Levitt, N. S. (2019) · PLoS Medicine · doi:10.1371/journal.pmed.1002865 · Cited by 55 · see citing works
Climate factors and gestational diabetes mellitus risk – a systematic review
Preston, E. V., Eberle, C., Brown, F. M., & James-Todd, T. M. (2020) · Environmental Health · doi:10.1186/s12940-020-00668-w · Cited by 60 · see citing works
High Folate, Perturbed One-Carbon Metabolism and Gestational Diabetes Mellitus
Williamson, J. M., Arthurs, A. L., Smith, M. D., Roberts, C. T., & Jankovic-Karasoulos, T. (2022) · Nutrients · doi:10.3390/nu14193930 · Cited by 56 · see citing works
“In utero exposure to hyperglycaemia and GDM is associated with increased health risks for the baby, including preterm birth, macrosomia, large for gestational age, shoulder dystocia, neonatal respiratory complications and hypoglycaemia [17,18].”
BackgroundJosefson, J. L., Scholtens, D. M., Kuang, A., Catalano, P. M., Lowe, L. P., Dyer, A. R., Petito, L. C., Lowe, W. L., Metzger, B. E., HAPO Follow-up Study Cooperative Research Group, et al. (2021) · Diabetes Care · doi:10.2337/dc20-2398 · Cited by 55 · see citing works
Self-citationUpdates in Long-term Maternal and Fetal Adverse Effects of Gestational Diabetes Mellitus
Shou, C., Wei, Y.-M., Wang, C., & Yang, H.-X. (2019) · Maternal-Fetal Medicine · doi:10.1097/fm9.0000000000000019 · Cited by 52 · see citing works
Molecular Biomarkers for Gestational Diabetes Mellitus and Postpartum Diabetes
Lu, W., & Hu, C. (2022) · Chinese Medical Journal · doi:10.1097/cm9.0000000000002160 · Cited by 52 · see citing works
Recurrent Gestational Diabetes Mellitus: A Narrative Review and Single-Center Experience
Egan, A. M., Enninga, E. A. L., Alrahmani, L., Weaver, A. L., Sarras, M. P., & Ruano, R. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10040569 · Cited by 52 · see citing works
“While causality has not been fully established, children born to women with GDM are more likely to have disorders of glucose metabolism and adiposity in later life [9,10].”
BackgroundJuan, J., Sun, Y., Wei, Y., Wang, S., Song, G., Yan, J., Zhou, P., & Yang, H. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1012244 · Cited by 56 · see citing works
“One study was a multi-centered study including ten field centers (13), the rest five studies were conducted in Canada, Australia, United Arab Emirates, Pakistan, and Japan, respectively (14–18).”
BackgroundExposure to Endocrine-Disrupting Chemicals and Type 2 Diabetes Mellitus in Later Life
Lin, J., & Yin, R. (2022) · Exposure and Health · doi:10.1007/s12403-022-00486-0 · Cited by 54 · see citing works
Benhalima, K., Lens, K., Bosteels, J., & Chantal, M. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8091431 · Cited by 50 · see citing works
“9%) compared to women with GDM according to the IADPSG criteria alone [11].”
BackgroundResultInfluentialEberle, C., & Stichling, S. (2022) · BMC Public Health · doi:10.1186/s12889-022-13965-5 · Cited by 54 · see citing works
An Update of Medical Nutrition Therapy in Gestational Diabetes Mellitus
Vasile, F. C., Preda, A., Ștefan, A. G., Vladu, I. M., Forțofoiu, M.-C., Clenciu, D., Gheorghe, I.-O., Forţofoiu, M., & Moța, M. (2021) · Journal of Diabetes Research · doi:10.1155/2021/5266919 · Cited by 60 · see citing works
“5%, 6 months after birth) [10] (iii) Metabolic syndrome”
BackgroundInfluentialSkrypnik, D., Bogdański, P., Zawiejska, A., & Wender-Ożegowska, E. (2019) · Polskie Archiwum Medycyny Wewnętrznej · doi:10.20452/pamw.4426 · Cited by 44 · see citing works
Glucose Intolerance in Pregnancy and Offspring Obesity in Late Adolescence
Bendor, C. D., Bardugo, A., Rotem, R. S., Derazne, E., Gerstein, H. C., Tzur, D., Pinhas‐Hamiel, O., Tsur, A. M., Cukierman‐Yaffe, T., Lebenthal, Y., et al. (2022) · Diabetes Care · doi:10.2337/dc21-2634 · Cited by 48 · see citing works
Self-citationManagement of Obesity and Its Complications in Children and Adolescents
Mittal, M., & Jain, V. (2021) · The Indian Journal of Pediatrics · doi:10.1007/s12098-021-03913-3 · Cited by 50 · see citing works
Mennickent, D., Rodriguez, A. F., Farías, M., Araya, J., & Guzmán‐Gutiérrez, E. (2022) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2022.102378 · Cited by 41 · see citing works
Networks, F. T. N. N. A. N. N. H. H. S., Monk, C. E., Webster, R., McNeil, R. B., Parker, C. B., Catov, J. M., Greenland, P., Merz, C. N. B., Silver, R. M., Simhan, H. N., et al. (2019) · Archives of Women s Mental Health · doi:10.1007/s00737-019-00970-8 · Cited by 43 · see citing works
Type 2 Diabetes in Youth: the Role of Early Life Exposures
Rughani, A., Friedman, J. E., & Tryggestad, J. B. (2020) · Current Diabetes Reports · doi:10.1007/s11892-020-01328-6 · Cited by 40 · see citing works
Gestational Glucose Intolerance and Risk of Future Diabetes
Selen, D. J., Thaweethai, T., Schulte, C. C. M., Hsu, S. C., He, W. W., James, K. E., Kaimal, A. J., Meigs, J. B., & Powe, C. E. (2022) · Diabetes Care · doi:10.2337/dc22-1390 · Cited by 40 · see citing works
Mustafa, M., Bogdanet, D., Khattak, A., Carmody, L. A., Kirwan, B., Gaffney, G., O’Shea, P. M., & Dunne, F. (2020) · QJM · doi:10.1093/qjmed/hcaa167 · Cited by 42 · see citing works
One-step or 2-step testing for gestational diabetes: which is better?
Coustan, D. R., Dyer, A. R., & Metzger, B. E. (2021) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2021.05.009 · Cited by 40 · see citing works
Self-citationAyman, G., Strachan, J. A., Mclennan, N., Malouf, R. S., Lowe‐Zinola, J., Magdi, F., Roberts, N. W., Alderdice, F. A., Berneantu, I., Breslin, N., et al. (2021) · Diabetic Medicine · doi:10.1111/dme.14588 · Cited by 39 · see citing works
Kunysz, M., Mora-Janiszewska, O., & Darmochwał-Kolarz, D. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094693 · Cited by 37 · see citing works
Dysglycemia in Pregnancy and Maternal/Fetal Outcomes
Silva, C. M., Arnegard, M. E., & Maric‐Bilkan, C. (2020) · Journal of Women s Health · doi:10.1089/jwh.2020.8853 · Cited by 38 · see citing works
“In fact, more than half of these women had developed either T2DM or prediabetes.(72) Along with the other factors that also were measured—including age, BMI, and family history—this HAPO follow-up study showed that increased glucose levels during pregnancy were an independent risk factor for the development of diabete…”
BackgroundApproaches to screening for hyperglycaemia in pregnant women during and after the COVID‐19 pandemic
Meek, C. L., Lindsay, R. S., SCOTT, E. M., Aiken, C., Myers, J., Reynolds, R. M., Simmons, D. S., Yamamoto, J. M., McCance, D. R., & Murphy, H. R. (2020) · Diabetic Medicine · doi:10.1111/dme.14380 · Cited by 39 · see citing works
Self-citationTang, M., Luo, M., Lu, W., Wang, S., Zhang, R., Liang, W., Gu, J., Yu, X., Zhang, X., & Hu, C. (2019) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2019.107823 · Cited by 35 · see citing works
Low-Carbohydrate Diets for Gestational Diabetes
Farabi, S. S., & Hernandez, T. L. (2019) · Nutrients · doi:10.3390/nu11081737 · Cited by 37 · see citing works
Mantzorou, M., Papandreou, D., Pavlidou, E., Papadopoulou, S. Κ., Tolia, M., Mentzelou, M., Poutsidi, A., Antasouras, G., Vasios, G. K., & Giaginis, C. (2023) · Medicina · doi:10.3390/medicina59030455 · Cited by 39 · see citing works
“The proposed mechanisms behind this association are the exposure to higher glucose levels in utero [38,39], reduced insulin sensitivity due to maternal hyperleptinemia [42], epigenetic programming [43], as well as the altered maternal gut microbiome due to GDM [44].”
BackgroundResultHe, K., Guo, Q., Ge, J., Li, J., Li, C., & Jing, Z. (2021) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1111/jcpt.13503 · Cited by 44 · see citing works
Ormazábal, V., Nair, S., Carrión, F., McIntyre, D. H., & Salomón, C. (2022) · Cardiovascular Diabetology · doi:10.1186/s12933-022-01597-3 · Cited by 36 · see citing works
An Update on Screening Strategies for Gestational Diabetes Mellitus: A Narrative Review
Minschart, C., Beunen, K., & Benhalima, K. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s287121 · Cited by 38 · see citing works
“The HAPO Follow-up Study investigated whether GDM diagnosed with IADPSG criteria was associated with long-term risks for a disorder of glucose metabolism in mothers and greater adiposity in children.(66) They found that GDM diagnosed with IADPSG criteria was significantly associated with maternal development of predia…”
BackgroundThyroid dysfunction during gestation and gestational diabetes mellitus: a complex relationship
Pinto, S., Croce, L., Lea, C., Cosson, E., & Rotondi, M. (2023) · Journal of Endocrinological Investigation · doi:10.1007/s40618-023-02079-3 · Cited by 39 · see citing works
Bioelectrical Impedance Analysis—An Easy Tool for Quantifying Body Composition in Infancy?
Lyons‐Reid, J., Ward, L. C., Kenealy, T. W., & Cutfield, W. S. (2020) · Nutrients · doi:10.3390/nu12040920 · Cited by 36 · see citing works
Martinez, M. P., Lin, J. C., Chow, T., Chung, J., Wang, X., & Xiang, A. H. (2020) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2019.12.053 · Cited by 35 · see citing works
- Authors
- Lowe, W. L., Scholtens, D. M., Lowe, L. P., Kuang, A., Nodzenski, M., Talbot, O., Catalano, P. M., Linder, B., Brickman, W. J., Clayton, P., Deerochanawong, C., Hamilton, J., Josefson, J. L., Lashley, M., Lawrence, J. M., Lebenthal, Y., Ma, R., Maresh, M., McCance, D., Tam, W. H., Sacks, D. A., Dyer, A. R., Metzger, B. E., & for the HAPO Follow-up Study Cooperative Research Group
- Affiliations
- Northwestern University (US)
- MetroHealth Medical Center (US)
- National Institutes of Health (US)
- Manchester Academic Health Science Centre (GB)
- Rajavithi Hospital (TH)
- University of Toronto (CA)
- Queen Elizabeth Hospital, School of Clinical Medicine and Research, University of the West Indies, Barbados
- Kaiser Permanente (US)
- Tel Aviv University (IL)
- Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong, China
- Royal Victoria Hospital (GB)
- Chinese University of Hong Kong (HK)
- Corresponding author
- Metzger, Boyd E.
- ORCID
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2018-09-11
- Volume
- 320
- Issue
- 10
- Pages
- 1005
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC6143108
- OpenAlex
- W2892298718
- Cited by
- 591
- References
- 48
- Citations by year
- 2026: 56 · 2025: 77 · 2024: 86 · 2023: 80 · 2022: 83 · 2021: 74 · 2020: 89 · 2019: 42 · 2018: 3 · 2016: 1
- FWCI
- 58.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (submittedVersion, other-oa)
- Funders
- National Institutes of Health (UL1TR001422)
- National Institute of Diabetes and Digestive and Kidney Diseases (U01DK094830)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Pediatrics, Perinatology and Child Health › Birth, Development, and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- gestational diabetes mellitus, maternal glucose metabolism, childhood adiposity, type 2 diabetes, prediabetes, childhood obesity, postpartum follow-up, HAPO study, skinfold thickness, waist circumference, body fat percentage
- MeSH terms
- Adolescent, Adult, Blood Glucose, Child, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Humans, Male, Prediabetic State, Pregnancy, Body Mass Index, Diabetes, Gestational, Adiposity, Waist Circumference, Pediatric Obesity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
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