Cited by 591Gestational Diabetes Research and ManagementBirth, Development, and HealthDiabetes, Cardiovascular Risks, and Lipoproteins

Association of Gestational Diabetes With Maternal Disorders of Glucose Metabolism and Childhood Adiposity

Open access
Lowe, William L., Scholtens, Denise M., Lowe, Lynn P., Kuang, Alan, Nodzenski, Michael, Talbot, Octavious, Catalano, Patrick M., Linder, Barbara +16 more·2018·JAMA

Abstract

HAPO follow-up study examining associations of gestational diabetes with maternal glucose disorders and childhood adiposity 10 to 14 years postpartum.

Integrity signals

Registry

Crossref · 10.1001/jama.2018.11628

Cites

48 of 49 references verified0 citation errors · 1 not checkable

Statistics

Nothing to recompute.

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
  • 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 data

    Multiple 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).

    Premisecitation

    Approximately 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.

    Premisecitation

    New 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 conductcitation

    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 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.

    Premisecitation

    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.

    “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).

    Premisecitation

    In 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 data

    The 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
  • May combine two claims.

    Findingown data

    Adjusted 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
  • May combine two claims.

    Findingown data

    Among 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
  • May combine two claims.

    Findingown data

    At 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    Of 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 claim
  • May combine two claims.

    Findingown data

    Adjusted 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
  • May combine two claims.

    Findingown data

    Adjusted 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
  • May combine two claims.

    Findingown data

    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 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingown data

    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.

    “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 claim
  • May combine two claims.

    Findingown data

    Adjusted 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
  • May combine two claims.

    Findingown data

    Adjusted 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    Gestational 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    Gestational 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    In 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 claim
  • May combine two claims.

    Findingown data

    Compared 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 claim
  • May combine two claims.

    Findingown data

    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 (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 claim
  • May combine two claims.

    Findingown data

    The 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 claim
  • May combine two claims.

    Findingown data

    For 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 claim
  • May combine two claims.

    Findingown data

    For 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 claim
  • May combine two claims.

    Findingown data

    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.

    “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 claim
  • Classified as probably not a substantial claim.

    Study design and conductown data

    Results 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    Blinded 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductreasoning

    For 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    For 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 data

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductown data

    Colinearity 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    Logistic 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 data

    Residual 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductcitation

    Multiple 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 conductreasoning

    The 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductnone given

    To 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    Missing 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 claim
  • Probably not a substantial claim: may not pass S2 (checkable).

    Interpretationnone given

    Additional 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
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Colinearity was evaluated using pairwise correlations.

    “Colinearity was evaluated using pairwise correlations.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    For 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductreasoning

    In 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 claim
  • Classified as probably not a substantial claim.

    Study design and conductreasoning

    This 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Linear 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductreasoning

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The 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 claim
  • May combine two claims.

    Premisecitation

    The 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 claim
  • May combine two claims.

    Premisecitation

    In 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 conductreasoning

    Social, 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 claim
  • May combine two claims.

    Interpretationown data

    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.

    “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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    The 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 claim
  • May combine two claims.

    Study design and conductreasoning

    In 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Maternal 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Interpretationnone given

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    This 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    Recruitment 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductnone given

    For 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 claim
  • Classified as probably not a substantial claim.

    Interpretationcitation

    This 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 given

    Beyond family history, paternal data were not available.

    “Fourth, beyond family history, paternal data were not available.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The 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 claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Study design and conductown data

    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.

    “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
68 of 68
  • 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”
2 of 2

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 measured
  • 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.

    “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 measured
  • 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, 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 measured
  • Maternal 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 measured
  • A 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

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

    Minor

    The 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.

  • Childhood obesity comparison group differs by one child

    Minor

    The results report 405 obese children among 4094 children of mothers without gestational diabetes, but Table 4 gives 4095 for the same 405 cases.

  • Maternal comparison group has two different denominators

    Minor

    Table 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.

3 of 3

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. International Diabetes Federation, 2017, IDF Diabetes Atlas

Cited by

Sorted by citations

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.
Venue
JAMA
Published
2018-09-11
Volume
320
Issue
10
Pages
1005
ISSN
  • 0002-9955 (ISSN-L)
  • 0098-7484
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
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.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.

Cited sources are checked by gpt-6-sol.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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