Evidence map›Paper›PMID 30500109›Full record

Observational studyBJOG : an international journal of obstetrics and gynaecology2019

Prepregnancy maternal body mass index and venous thromboembolism: a population-based cohort study.

A J Butwick, J Bentley, S A Leonard, S L Carmichael, Y Y El-Sayed, O Stephansson, N Guo

Abstract readObservational Study
In one paragraph

Observational study in BJOG : an international journal of obstetrics and gynaecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Management of obesity across women's life course: FIGO Best Practice Advice.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Obesity And Obstetric Anesthesia: Current Insights.Local and regional anesthesia · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

A J ButwickDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.
J BentleyQuantitative Sciences Unit, Stanford University, Stanford, CA, USA.
S A LeonardDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
S L CarmichaelDivision of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Y Y El-SayedDepartment of Obstetrics and Gynecology, Stanford University School of Medicine, Stanford, CA, USA.
O StephanssonDepartment of Medicine Solna, Clinical Epidemiology Unit, Stockholm, Sweden.
N GuoDepartment of Anesthesiology, Perioperative, and Pain Medicine, Stanford University School of Medicine, Stanford, CA, USA.

Funding

Severe Maternal Morbidity: An Investigation of Racial-Ethnic Disparities, Social Disadvantage & Maternal WeightR01NR017020 · NINR · STANFORD UNIVERSITY · PI SUZAN L CARMICHAEL · 2018 to 2026
$5.2M
Postpartum Hemmorrhage and Anemia: Epidemiologic and Cost-Effectiveness AnalysesK23HD070972 · NICHD · STANFORD UNIVERSITY · PI BUTWICK, ALEXANDER JAMES · 2013 to 2017
$699k
Understanding Severe Maternal Morbidity: Predictors, Trends, and DisparitiesF32HD091945 · NICHD · STANFORD UNIVERSITY · PI LEONARD, STEPHANIE A. · 2017 to 2018
$115k
Eunice Kennedy Shriver National Institute of Child Health and Human Development F32HD091945Eunice Kennedy Shriver National Institute of Child Health and Human Development K23HD070972National Institute of Nursing Research NR017020NICHD NIH HHS F32 HD091945NICHD NIH HHS K23 HD070972NINR NIH HHS R01 NR017020Strategic Research Program in Epidemiology at Karolinska InstitutetSwedish Research Council 2013-2429
6 · The paper itself

Abstract

objectiveTo assess the relation between maternal body mass index (BMI) and pregnancy-related venous thromboembolism (VTE).

designCohort study. SETTING AND POPULATION: A total of 2 449 133 women with singleton pregnancies who underwent delivery hospitalisation in California between 2008 and 2012.

methodsAssociation of pre-pregnancy BMI and the risk of an antepartum and postpartum VTE was examined using logistic regression, with normal BMI as reference.

main outcome measuresAntepartum and postpartum VTE-related hospitalisation.

resultsThe prevalence of antepartum and postpartum VTE increased with increasing BMI (antepartum: 2.3, 3.0, 3.8, 4.2, 4.7, and 10.6 per 10 000 women for underweight, normal BMI, overweight, obesity class I, II, and III, respectively, P < 0.001; postpartum: 2.0, 3.1, 3.9, 5.6, 9.0, and 13.2 per 10 000 women, P < 0.01). The adjusted odds of antepartum and postpartum VTE increased progressively with increasing BMI, with obesity class III women having the highest risk of pregnancy-related VTE compared with normal BMI women: adjusted odds ratio for antepartum VTE: 2.9; 95% CI 2.2-3.8 and adjusted odds ratio for postpartum VTE: 3.6; 95% CI 2.9-4.6.

conclusionsOur findings clearly demonstrate an increasing risk of pregnancy-related VTE with increasing BMI. TWEETABLE ABSTRACT: Obesity was associated with increased odds of antepartum and postpartum venous thromboembolism.

Indexed as

Body Mass IndexAdultCaliforniaFemaleHumansLogistic ModelsObesityOdds RatioPregnancyPregnancy Complications, CardiovascularPrevalenceRetrospective StudiesRisk FactorsVenous ThromboembolismAntepartumbody mass indexdeliverypostpartumpregnancyvenous thromboembolism

Identifiers

PMID30500109
PMCPMC6448573

What OpenQuestion holds

Textmetadata
LicenceTDM
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.