Evidence map›Paper›PMID 32424542›Full record

ArticleDiabetologia2020

Pregnancy loss is associated with type 2 diabetes: a nationwide case-control study.

Pia Egerup, Anders P Mikkelsen, Astrid Marie Kolte, David Westergaard, Steen Rasmussen, Filip K Knop, Øjvind Lidegaard, Henriette S Nielsen

Open access · bronzeAbstract readCase Reports
PubMed Publisher
In one paragraph

Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Assessing the efficacy and safety of SildenafilJournal of medicine and life · 2023
    Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Recurrent Pregnancy Loss and Concealed Long-QT Syndrome.Journal of the American Heart Association · 2021
    Article
  16. 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

8 authors at 2 institutions in 1 country.

Pia EgerupThe Recurrent Pregnancy Loss Unit, The Capital Region, Rigshospitalet and Hvidovre, Copenhagen University Hospital, Copenhagen, Denmark. piaegerup@hotmail.com.ORCID https://orcid.org/0000-0002-8047-2459
Anders P MikkelsenDepartment of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Astrid Marie KolteThe Recurrent Pregnancy Loss Unit, The Capital Region, Rigshospitalet and Hvidovre, Copenhagen University Hospital, Copenhagen, Denmark.
David WestergaardThe Recurrent Pregnancy Loss Unit, The Capital Region, Rigshospitalet and Hvidovre, Copenhagen University Hospital, Copenhagen, Denmark.
Steen RasmussenDepartment of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Filip K KnopDepartment of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
Øjvind LidegaardDepartment of Gynecology, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
Henriette S NielsenThe Recurrent Pregnancy Loss Unit, The Capital Region, Rigshospitalet and Hvidovre, Copenhagen University Hospital, Copenhagen, Denmark.
University of Copenhagen · DKHvidovre Hospital · DK

Funding

Nove Nordisk Foundation NNF18SA0034956
6 · The paper itself

Abstract

aims/hypothesisType 2 diabetes is killing more people than ever, and early-life predictors remain critical for the development of effective preventive strategies. Pregnancy loss is a common event associated with later atherosclerotic disease and ischaemic heart failure and might constitute a predictor for type 2 diabetes. The objective of this study was to investigate whether pregnancy loss is associated with later development of type 2 diabetes.

methodsUsing a Danish nationwide cohort, we identified all women born from 1957 through to 1997 and who had a diagnosis of type 2 diabetes during the period 1977 to 2017. The women were matched 1:10 on year of birth and educational level to women without diabetes in the general Danish population. Conditional logistic regression models provided odds ratios for type 2 diabetes with different numbers of pregnancy losses.

resultsWe identified 24,774 women with type 2 diabetes and selected 247,740 controls without diabetes. Women who had ever been pregnant (ever-pregnant women) with 1, 2 and ≥ 3 pregnancy losses had ORs of type 2 diabetes of 1.18 (95% CI 1.13, 1.23), 1.38 (95% CI 1.27, 1.49) and 1.71 (95% CI 1.53, 1.92) compared with ever-pregnant women with no pregnancy losses, respectively. Women who never achieved a pregnancy had an OR of type 2 diabetes of 1.56 (95% CI 1.51, 1.61) compared with ever-pregnant women with any number of losses. Similar results were found after adjustment for obesity and gestational diabetes. CONCLUSIONS/

interpretationWe found a significant and consistent association between pregnancy loss and later type 2 diabetes that increased with increasing number of losses. Thus, pregnancy loss and recurrent pregnancy loss are significant risk factors for later type 2 diabetes. Future studies should explore whether this association is due to common background factors or whether prediabetic metabolic conditions are responsible for this association. Graphical abstract.

Indexed as

Abortion, SpontaneousCase-Control StudiesDiabetes, GestationalDiabetes Mellitus, Type 2FemaleHumansLogistic ModelsObesityOdds RatioPrediabetic StatePregnancyRisk FactorsMiscarriagePregnancy lossRecurrent pregnancy lossReproductionType 2 diabetes

Identifiers

PMID32424542
OpenAlexW3026713973

What OpenQuestion holds

Textmetadata
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.