Evidence map›Paper›PMID 31745826›Full record

ArticleEuropean journal of epidemiology2020

Pregnancy, pregnancy loss and the risk of diabetes in Chinese women: findings from the China Kadoorie Biobank.

Sanne A E Peters, Ling Yang, Yu Guo, Yiping Chen, Zheng Bian, Huarong Sun, Yanjie Li, Liming Li, Mark Woodward, Zhengming Chen and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  15. Pregnancy complications and later life women's health.Acta obstetricia et gynecologica Scandinavica · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Independent value of serumFrontiers in immunology · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 4 countries.

Sanne A E PetersThe George Institute for Global Health, University of Oxford, 1st Floor, Hayes House, 75 George Street, Oxford, OX1 2BQ, UK. sanne.peters@georgeinstitute.ox.ac.uk.ORCID http://orcid.org/0000-0003-0346-5412
Ling YangClinical Trials Service Unit and Epidemiological Studies Unit, University of Oxford, Old Road Campus, Oxford, OX3 7FZ, UK.
Yu GuoChinese Academy of Medical Sciences, Dong Cheng District, Beijing, China.
Yiping ChenClinical Trials Service Unit and Epidemiological Studies Unit, University of Oxford, Old Road Campus, Oxford, OX3 7FZ, UK.
Zheng BianChinese Academy of Medical Sciences, Dong Cheng District, Beijing, China.
Huarong SunNCDs Prevention and Control Department, Huixian CDC, Huixian, Henan, China.
Yanjie LiNCDs Prevention and Control Department, Nangang CDC, Nangang District, Haerbin, Heilongjiang, China.
Liming LiChinese Academy of Medical Sciences, Dong Cheng District, Beijing, China.
Mark WoodwardThe George Institute for Global Health, University of Oxford, 1st Floor, Hayes House, 75 George Street, Oxford, OX1 2BQ, UK.
Zhengming ChenClinical Trials Service Unit and Epidemiological Studies Unit, University of Oxford, Old Road Campus, Oxford, OX3 7FZ, UK. zhengming.chen@ndph.ox.ac.uk.
China Kadoorie Biobank Collaboration Group
Chinese Academy of Medical Sciences & Peking Union Medical College · CNUniversity of Oxford · GBJohns Hopkins University · USThe George Institute for Global Health · GBXian Center for Disease Control and Prevention · CN

Funding

Medical Research Council MC_U137686851Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_12026/2Medical Research Council MR/P014550/1Wellcome Trust 212946/Z/18/Z
6 · The paper itself

Abstract

Pregnancy and pregnancy loss may be associated with increased risk of diabetes in later life. However, the evidence is inconsistent and sparse, especially among East Asians where reproductive patterns differ importantly from those in the West. We examined the associations of pregnancy and pregnancy loss (miscarriage, induced abortion, and still birth) with the risk of incident diabetes in later life among Chinese women. In 2004-2008, the nationwide China Kadoorie Biobank recruited 302 669 women aged 30-79 years from 10 (5 urban, 5 rural) diverse localities. During 9.2 years of follow-up, 7780 incident cases of diabetes were recorded among 273,383 women without prior diabetes and cardiovascular disease at baseline. Cox regression yielded multiple-adjusted hazard ratios (HRs) for the risk of diabetes associated with pregnancy and pregnancy loss. Overall, 99% of women had been pregnant, of whom 10%, 53%, and 6% reported having a history of miscarriage, induced abortion, and stillbirth, respectively. Among ever pregnant women, each additional pregnancy was associated with an adjusted HR of 1.04 (95% CI 1.03; 1.06) for diabetes. Compared with those without pregnancy loss, women with a history of pregnancy loss had an adjusted HR of 1.07 (1.02; 1.13) and the HRs increased with increasing number of pregnancy losses, irrespective of the number of livebirths; the adjusted HR was 1.03 (1.00; 1.05) for each additional pregnancy loss. The strength of the relationships differed marginally by type of pregnancy loss. Among Chinese women, a higher number of pregnancies and pregnancy losses were associated with a greater risk of diabetes.

Indexed as

Abortion, InducedAbortion, SpontaneousAdultAgedAsian PeopleChinaDiabetes Mellitus, Type 2FemaleHumansIncidenceMiddle AgedPregnancyPregnancy OutcomeProspective StudiesStillbirthAbortionChinaDiabetesMiscarriagePregnancyPregnancy lossStillbirthWomen

Identifiers

PMID31745826
PMCPMC7154020
OpenAlexW2988790439

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.