The DOI matches its Crossref record; 60 of the 61 references it cites were found in a registry or an index.
Metabolic syndrome in pregnancy and risk for adverse pregnancy outcomes: A prospective cohort of nulliparous women
Open accessAbstract
BACKGROUND: Obesity increases the risk for developing gestational diabetes mellitus (GDM) and preeclampsia (PE), which both associate with increased risk for type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) in women in later life. In the general population, metabolic syndrome (MetS) associates with T2DM and CVD. The impact of maternal MetS on pregnancy outcomes, in nulliparous pregnant women, has not been investigated. METHODS AND FINDINGS: Low-risk, nulliparous women were recruited to the multi-centre, international prospective Screening for Pregnancy Endpoints (SCOPE) cohort between 11 November 2004 and 28 February 2011. Women were assessed for a range of demographic, lifestyle, and metabolic health variables at 15 ± 1 weeks' gestation. MetS was defined according to International Diabetes Federation (IDF) criteria for adults: waist circumference ≥80 cm, along with any 2 of the following: raised trigycerides (≥1.70 mmol/l [≥150 mg/dl]), reduced high-density lipoprotein cholesterol (<1.29 mmol/l [<50 mg/dl]), raised blood pressure (BP) (i.e., systolic BP ≥130 mm Hg or diastolic BP ≥85 mm Hg), or raised plasma glucose (≥5.6 mmol/l). Log-binomial regression analyses were used to examine the risk for each pregnancy outcome (GDM, PE, large for gestational age [LGA], small for gestational age [SGA], and spontaneous preterm birth [sPTB]) with each of the 5 individual components for MetS and as a composite measure (i.e., MetS, as defined by the IDF). The relative risks, adjusted for maternal BMI, age, study centre, ethnicity, socioeconomic index, physical activity, smoking status, depression status, and fetal sex, are reported. A total of 5,530 women were included, and 12.3% (n = 684) had MetS. Women with MetS were at an increased risk for PE by a factor of 1.63 (95% CI 1.23 to 2.15) and for GDM by 3.71 (95% CI 2.42 to 5.67). In absolute terms, for PE, women with MetS had an adjusted excess risk of 2.52% (95% CI 1.51% to 4.11%) and, for GDM, had an adjusted excess risk of 8.66% (95% CI 5.38% to 13.94%). Diagnosis of MetS was not associated with increased risk for LGA, SGA, or sPTB. Increasing BMI in combination with MetS increased the estimated probability for GDM and decreased the probability of an uncomplicated pregnancy. Limitations of this study are that there are several different definitions for MetS in the adult population, and as there are none for pregnancy, we cannot be sure that the IDF criteria are the most appropriate definition for pregnancy. Furthermore, MetS was assessed in the first trimester and may not reflect pre-pregnancy metabolic health status. CONCLUSIONS: We did not compare the impact of individual metabolic components with that of MetS as a composite, and therefore cannot conclude that MetS is better at identifying women at risk. However, more than half of the women who had MetS in early pregnancy developed a pregnancy complication compared with just over a third of women who did not have MetS. Furthermore, while increasing BMI increases the probability of GDM, the addition of MetS exacerbates this probability. Further studies are required to determine if individual MetS components act synergistically or independently.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Pregnancy is a metabolically dynamic condition, and an inappropriate nutritional status may contribute to metabolic alterations, making the person susceptible to metabolic disorders and poor pregnancy outcomes (1, 2).”
From Maternal nutritional status and the risk of metabolic syndrome in pregnancy: implications for public health nutrition (2026) · cites this paper as [1]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Pregnancy is a metabolically dynamic condition, and an inappropriate nutritional status may contribute to metabolic alterations, making the person susceptible to metabolic disorders and poor pregnancy outcomes (1, 2).”
From Maternal nutritional status and the risk of metabolic syndrome in pregnancy: implications for public health nutrition (2026) · cites this paper as [1]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Alberti, K. G. M. M., Eckel, R. H., Grundy, S. M., Zimmet, P. Z., Cleeman, J. I., Donato, K. A., Fruchart, J.-C., James, W. P. T., Loria, C. M., & Smith, S. C. (2009) · Circulation · doi:10.1161/circulationaha.109.192644 · Cited by 14,860
Grundy, S. M., Brewer, H. B., Cleeman, J. I., Smith, S. C., & Lenfant, C. (2004) · Circulation · doi:10.1161/01.cir.0000111245.75752.c6 · Cited by 5,982
Generalized additive models for location, scale and shape.
Rigby, R. A., & Stasinopoulos, D. M. (2005) · Journal of the Royal Statistical Society Series C: Applied Statistics · doi:10.1111/j.1467-9876.2005.00510.x · Cited by 3,228
Steegers, E. A., von Dadelszen, P., Duvekot, J. J., & Pijnenborg, R. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60279-6 · Cited by 2,850
Elective induction versus spontaneous labor after sonographic diagnosis of fetal macrosomia.
Combs, C. A., Singh, N. B., & Khoury, J. C. (1993) · PubMed · Cited by 2,463
Comment on the provisional report from the WHO consultation
(1999) · Diabetic Medicine · doi:10.1046/j.1464-5491.1999.00059.x · Cited by 1,820
The Metabolic Syndrome and Chronic Kidney Disease in U.S. Adults
Chen, J., Muntner, P., Hamm, L. L., Jones, D. W., Batuman, V., Fonseca, V. A., Whelton, P. K., & He, J. (2004) · Annals of Internal Medicine · doi:10.7326/0003-4819-140-3-200402030-00007 · Cited by 1,354
Maternal Obesity and Risk of Gestational Diabetes Mellitus
Chu, S. Y., Callaghan, W. M., Kim, S. Y., Schmid, C. H., Lau, J., England, L. J., & Dietz, P. M. (2007) · Diabetes Care · doi:10.2337/dc06-2559a · Cited by 1,114
PROPORTION OF DISEASE CAUSED OR PREVENTED BY A GIVEN EXPOSURE, TRAIT OR INTERVENTION1
MIETTINEN, O. S. (1974) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a121617 · Cited by 1,036 · cited 1×
“The corresponding 95% CIs for MetS and its components were calculated defined by pd[(RR − 1)/RR] [38], where pd is the proportion of cases with MetS and RR is the adjusted relative risk.”
MethodPregnancy and Laboratory Studies
Abbassi-Ghanavati, M., Greer, L. G., & Cunningham, F. G. (2009) · Obstetrics and Gynecology · doi:10.1097/aog.0b013e3181c2bde8 · Cited by 826
Torloni, M. R., Betrán, A. P., Horta, B. L., Nakamura, M. U., Atallah, A. N., Moron, A. F., & Valente, O. (2009) · Obesity Reviews · doi:10.1111/j.1467-789x.2008.00541.x · Cited by 739
Advanced Maternal Age and Adverse Pregnancy Outcome: Evidence from a Large Contemporary Cohort
Kenny, L. C., Lavender, T., McNamee, R., O’Neill, S. M., Mills, T. A., & Khashan, A. S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056583 · Cited by 607
Self-citationMetabolic Syndrome and Incident Diabetes
Ford, E. S., Li, C., & Sattar, N. A. (2008) · Diabetes Care · doi:10.2337/dc08-0423 · Cited by 592
The impact of maternal obesity on maternal and fetal health.
Leddy, M. A., Power, M. L., & Schulkin, J. A. (2008) · PubMed Central · Cited by 545
Developmental Origins of Health and Disease: Integrating Environmental Influences
Heindel, J. J., Balbus, J. M., Birnbaum, L. S., Bruné, M., Grandjean, P., Gray, K., Landrigan, P. J., Sly, P. D., Suk, W. A., Slechta, D. C., et al. (2015) · Endocrinology · doi:10.1210/en.2015-1394 · Cited by 452
North, R. A., McCowan, L. M. E., Dekker, G., Poston, L., Chan, E. H. Y., Stewart, A. W., Black, M. A., Taylor, R. S., Walker, J. J., Baker, P. N., et al. (2011) · BMJ · doi:10.1136/bmj.d1875 · Cited by 423
Self-citationRyckman, K. K., Spracklen, C., Smith, C. Z. A., Robinson, J. G., & Saftlas, A. (2015) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.13261 · Cited by 408
The detection, investigation and management of hypertension in pregnancy: full consensus statement
Brown, M., Hague, W. M., Higgins, J., Lowe, S. A., McCowan, L. M. E., Oats, J. J. N., Peek, M. J., Rowan, J., & Walters, B. (2000) · Australian and New Zealand Journal of Obstetrics and Gynaecology · doi:10.1111/j.1479-828x.2000.tb01137.x · Cited by 374
Self-citationMetabolically healthy obesity: Definitions, determinants and clinical implications
Phillips, C. M. (2013) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-013-9252-x · Cited by 368
Visceral obesity, metabolic syndrome, insulin resistance and cancer
Doyle, S. L., Donohoe, C. L., Lysaght, J., & Reynolds, J. V. (2011) · Proceedings of The Nutrition Society · doi:10.1017/s002966511100320x · Cited by 318
Jin, W.-Y., Lin, S., Hou, R.-L., Chen, X., Han, T., Jin, Y., Tang, L., Zhu, Z.-W., & Zhao, Z. (2016) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-016-0852-9 · Cited by 317
Maternal Hyperlipidemia and the Risk of Preeclampsia: a Meta-Analysis
Spracklen, C. N., Smith, C. J., Saftlas, A. F., Robinson, J. G., & Ryckman, K. K. (2014) · American Journal of Epidemiology · doi:10.1093/aje/kwu145 · Cited by 277
Wiznitzer, A., Mayer, A., Novack, V., Sheiner, E., Gilutz, H., Malhotra, A., & Novack, L. (2009) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2009.05.032 · Cited by 275
Fan, J., Song, Y., Chen, Y., Hui, R., & Zhang, W. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2013.07.230 · Cited by 273
Scott-Pillai, R., Spence, D., Cardwell, C. R., Hunter, A. J., & Holmes, V. A. (2013) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.12193 · Cited by 265
Maternal plasma lipid concentrations in early pregnancy and risk of preeclampsia*1
Enquobahrie, D. A. (2004) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2004.03.666 · Cited by 243
Rahman, M. M., Abe, S. K., Kanda, M., Narita, S., Rahman, M. S., Bilano, V., Ota, E., Gilmour, S., & Shibuya, K. (2015) · Obesity Reviews · doi:10.1111/obr.12293 · Cited by 241
Kearns, K., Dee, A., Fitzgerald, T., Doherty, E., & Perry, I. J. (2014) · BMC Public Health · doi:10.1186/1471-2458-14-143 · Cited by 224
A Review of the Impact of Dietary Intakes in Human Pregnancy on Infant Birthweight
Grieger, J. A., & Clifton, V. L. (2014) · Nutrients · doi:10.3390/nu7010153 · Cited by 214
Self-citationMetabolic Syndrome in Early Pregnancy and Risk of Preterm Birth
Chatzi, L., Plana, E., Daraki, V. N., Karakosta, P., Alegkakis, D., Tsatsanis, C., Kafatos, A., Koutis, A. D., & Kogevinas, M. (2009) · American Journal of Epidemiology · doi:10.1093/aje/kwp211 · Cited by 201
Shin, D., & Song, W. O. (2015) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767058.2014.964675 · Cited by 200
Spradley, F. T., Palei, A. C., & Granger, J. P. (2015) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00178.2015 · Cited by 185
Savvidou, M. D., Nelson, S. M., Makgoba, M., Messow, C., Sattar, N. A., & Nicolaides, K. H. (2010) · Diabetes · doi:10.2337/db10-0688 · Cited by 181
A customised birthweight centile calculator developed for a New Zealand population
McCowan, L. M. E., Stewart, A. W., Francis, A. I., & Gardosi, J. O. (2004) · Australian and New Zealand Journal of Obstetrics and Gynaecology · doi:10.1111/j.1479-828x.2004.00272.x · Cited by 155
Self-citationNormalizing Metabolism in Diabetic Pregnancy: Is It Time to Target Lipids?
Barrett, H. L., Nitert, M. D., McIntyre, D. H., & Callaway, L. K. (2014) · Diabetes Care · doi:10.2337/dc13-1934 · Cited by 150
Lee, K. K., Raja, E. A., Lee, A. J., Bhattacharya, S., Bhattacharya, S., Norman, J. E., & Reynolds, R. M. (2015) · Hypertension · doi:10.1161/hypertensionaha.115.05920 · Cited by 144
Metabolic profiling of gestational diabetes in obese women during pregnancy
White, S. L., Pasupathy, D., Sattar, N. A., Nelson, S. M., Lawlor, D. A., Briley, A. L., Seed, P. T., Welsh, P. I., & Poston, L. (2017) · Diabetologia · doi:10.1007/s00125-017-4380-6 · Cited by 135
Self-citationLorentzen, B., Endresen, M. J. R., Clausen, T., & Henriksen, T. (1994) · Hypertension in Pregnancy · doi:10.3109/10641959409084177 · Cited by 131
Dyslipidemia in early second trimester is mainly a feature of women with early onset pre-eclampsia
Clausen, T., Djurovic, S., & Henriksen, T. (2001) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.2001.00247.x · Cited by 128
Hedderson, M. M., & Ferrara, A. M. (2008) · Diabetes Care · doi:10.2337/dc08-1193 · Cited by 110
Nolan, C. J., Riley, S. F., Sheedy, M. T., Walstab, J., & Beischer, N. A. (1995) · Diabetes Care · doi:10.2337/diacare.18.12.1550 · Cited by 96
Roberts, C. T. (2010) · Placenta · doi:10.1016/j.placenta.2010.01.001 · Cited by 88
Self-citationWhite, S. L., Lawlor, D. A., Briley, A. L., Godfrey, K. M., Nelson, S. M., Oteng‐Ntim, E., Robson, S. C., Sattar, N. A., Seed, P. T., Vieira, M. C., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0167846 · Cited by 80
Self-citationKnight-Agarwal, C. R., Williams, L. T., Davis, D. L., Davey, R., Cochrane, T., Zhang, H., & Rickwood, P. C. (2016) · BMJ Open · doi:10.1136/bmjopen-2015-010667 · Cited by 80
Serum lipids in early pregnancy and risk of pre‐eclampsia
van den Elzen, H. J., Wladimiroff, J. W., Cohen‐Overbeek, T. E., de Bruijn, A. J., & Grobbee, D. E. (1996) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/j.1471-0528.1996.tb09661.x · Cited by 69
Preeclampsia, prematurity and cardiovascular health in adult life
Lewandowski, A. J., & Leeson, P. (2014) · Early Human Development · doi:10.1016/j.earlhumdev.2014.08.012 · Cited by 67
Encyclopedia of Cardiovascular Research and Medicine
(2017) · Elsevier eBooks · doi:10.1016/c2011-1-07109-6 · Cited by 64
Wang, Y., Zhao, X., Zhao, H., Ding, H., Tan, J., Chen, J., Zhang, R., Azziz, R., & Yang, D. (2013) · BioMed Research International · doi:10.1155/2013/182582 · Cited by 59
Clustering of metabolic risk factors and adverse pregnancy outcomes: a prospective cohort study
Lei, Q., Niu, J., Lv, L., Duan, D., Wen, J., Lin, X., Mai, C., & Zhou, Y. (2016) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.2803 · Cited by 58
Meek, C. L., Murphy, H. R., & Simmons, D. S. (2015) · Diabetologia · doi:10.1007/s00125-015-3811-5 · Cited by 49
Convergence in insulin resistance between very severely obese and lean women at the end of pregnancy
Forbes, S., Barr, S. M., Reynolds, R. M., Semple, S., Gray, C. D., Andrew, R., Denison, F. C., Walker, B. R., & Norman, J. E. (2015) · Diabetologia · doi:10.1007/s00125-015-3708-3 · Cited by 45
Maternal lipid profile and the relation with spontaneous preterm delivery: a systematic review
Moayeri, M., Heida, K. Y., Franx, A., Spiering, W., de Laat, M. W. M., & Oudijk, M. A. (2016) · Archives of Gynecology and Obstetrics · doi:10.1007/s00404-016-4216-5 · Cited by 42
Anderson, N. H., Sadler, L. C., Stewart, A. W., Fyfe, E. M., & McCowan, L. M. E. (2012) · Australian and New Zealand Journal of Obstetrics and Gynaecology · doi:10.1111/ajo.12016 · Cited by 38
Self-citationMetabolic syndrome and the risk for recurrent pre‐eclampsia: a retrospective cohort study
Stekkinger, E., Scholten, R. R., van der Vlugt, M. J., van Dijk, A., Janssen, M., & Spaanderman, M. E. A. (2013) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.12189 · Cited by 36
Chappell, L., Seed, P. T., Myers, J., Taylor, R., Kenny, L., Dekker, G., Walker, J., Mccowan, L., North, R., & Poston, L. (2013) · British medical journal · doi:10.1136/bmj.f6398 · Cited by 35
Self-citationVarner, M. W., Rice, M. M., Landon, M. B., Casey, B. M., Reddy, U. M., Wapner, R. J., Rouse, D. J., Tita, A., Thorp, J. M., Chien, E. K., et al. (2017) · Obstetrics and Gynecology · doi:10.1097/aog.0000000000001863 · Cited by 34
Preconception metabolic indicators predict gestational diabetes and offspring birthweight
Harville, E. W., Juonala, M., Viikari, J. S. A., & Raitakari, O. T. (2014) · Gynecological Endocrinology · doi:10.3109/09513590.2014.937336 · Cited by 23
Fyfe, E. M., Rivers, K., Thompson, J., Thiyagarajan, K. P., Groom, K. M., Dekker, G., & McCowan, L. M. E. (2013) · BMC Pregnancy and Childbirth · doi:10.1186/1471-2393-13-143 · Cited by 15
Self-citationStekkinger, E., Scholten, R. R., Heidema, W. M., & Spaanderman, M. E. A. (2015) · BJOG An International Journal of Obstetrics & Gynaecology · doi:10.1111/1471-0528.13737 · Cited by 10
OBSOLETE: Complications of Pregnancy and Future Cardiovascular Risk
Roberts, C. T. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-801238-3.99726-5 · Cited by 5
Self-citation
Flagged first, then by citations
1 of the 61 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
McElwain, C. J., Tuboly, E., McCarthy, F. P., & McCarthy, C. (2020) · Frontiers in Endocrinology · doi:10.3389/fendo.2020.00655 · Cited by 236
Robillard, P., Dekker, G., Scioscia, M., & Saito, S. (2022) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2021.11.019 · Cited by 136
Self-citationIncreased BMI has a linear association with late-onset preeclampsia: A population-based study
Robillard, P., Dekker, G., Scioscia, M., Bonsante, F., Iacobelli, S., Boukerrou, M., & Hulsey, T. C. (2019) · PLoS ONE · doi:10.1371/journal.pone.0223888 · Cited by 101
Self-citationKhan, S. S., Breathett, K., Braun, L. T., Chow, S. L., Gupta, D. K., Lekavich, C., Lloyd-Jones, D. M., Ndumele, C. E., Rodriguez, C. J., Allen, L. A., et al. (2025) · Circulation · doi:10.1161/cir.0000000000001307 · Cited by 75
Pregnancy as an Early Cardiovascular Moment: Peripartum Cardiovascular Health
Khan, S. S., Cameron, N. A., & Lindley, K. J. (2023) · Circulation Research · doi:10.1161/circresaha.123.322001 · Cited by 76
Metadata
- Authors
- Grieger, J. A., Bianco-Miotto, T., Grzeskowiak, L. E., Leemaqz, S. Y., Poston, L., McCowan, L. M., Kenny, L. C., Myers, J. E., Walker, J. J., Dekker, G. A., & Roberts, C. T.
- Affiliations
- The University of Adelaide (AU)
- St Thomas' Hospital (GB)
- University of Auckland (NZ)
- University of Liverpool (GB)
- University of Manchester (GB)
- University of Leeds (GB)
- Corresponding author
- Grieger, Jessica A.
- Grzeskowiak, Luke E.
- Leemaqz, Shalem Y.
- Poston, Lucilla
- McCowan, Lesley M.
- Kenny, Louise C.
- Myers, Jenny E.
- Walker, James J.
- Roberts, Claire T.
- ORCID
- Venue
- PLOS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2018-12-04
- Volume
- 15
- Issue
- 12
- Pages
- e1002710
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- PMC
- PMC6279018
- OpenAlex
- W2902051656
- Cited by
- 182
- References
- 61
- Citations by year
- 2026: 18 · 2025: 18 · 2024: 25 · 2023: 39 · 2022: 30 · 2021: 22 · 2020: 21 · 2019: 9
- FWCI
- 14.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Medicine (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Explorer (The University of Manchester) (publishedVersion, cc-by)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Research Portal (King's College London) (submittedVersion, other-oa)
- Funders
- Health Research Board (12/RC/2272, CSA/2007/2)
- Government of South Australia
- Auckland District Health Board
- Australian Government
- National Institute for Health and Care Research (NIHR-CS-011-020)
- King's College London
- University of Leeds
- Science Foundation Ireland (12/RC/2272, 12/RC/)
- Cerebra
- Tommy's
- Directorate for Biological Sciences
- Medical Research Council
- National Health and Medical Research Council (1099422, 1020749, 1070421)
- Topics
- Health Sciences › Medicine › Obstetrics and Gynecology › Gestational Diabetes Research and Management
- Health Sciences › Medicine › Obstetrics and Gynecology › Pregnancy and preeclampsia studies
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- metabolic syndrome, pregnancy, nulliparous women, gestational diabetes mellitus, preeclampsia, adverse pregnancy outcomes, large for gestational age, small for gestational age, preterm birth, type 2 diabetes risk, cardiovascular risk, maternal obesity, waist circumference, hypertriglyceridemia, low HDL cholesterol, hypertension in pregnancy
- MeSH terms
- Adult, Australia, Female, United Kingdom, Humans, Ireland, New Zealand, Parity, Pregnancy, Pregnancy Complications, Pregnancy Outcome, Prospective Studies, Risk Factors, Cohort Studies, Metabolic Syndrome, Internationality
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.
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review