Evidence map›Paper›PMID 27919934›Full record

ArticleBMJ (Clinical research ed.)2016

Development and validation of risk prediction model for venous thromboembolism in postpartum women: multinational cohort study.

Alyshah Abdul Sultan, Joe West, Matthew J Grainge, Richard D Riley, Laila J Tata, Olof Stephansson, Kate M Fleming, Catherine Nelson-Piercy, Jonas F Ludvigsson

2 registry-linked trialsOpen access · hybridAbstract readValidation Study
In one paragraph

Article in BMJ (Clinical research ed.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 57 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 7 pooled it
8.2field-weighted citation impact, top 2% 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.

NCT04657900 completednot on this mapstarted 2020, after this paper: background citation

Predicting Patient-level New Onset Atrial Fibrillation From Population-based Nationwide Electronic Health Records: A Precision Medicine Investigation Using Artificial Intelligence

TypeobservationalSponsorUniversity of LeedsRan2020 to 2023Enrolled140,000ConditionsAtrial FibrillationArmsObservational
NCT05318547 naunknown statusnot on this mapstarted 2022, after this paper: background citation

Assessing Women's Preferences for Postpartum Thromboprophylaxis: the PREFER-PostPartum

TypeinterventionalSponsorFondation Hôpital Saint-JosephRan2022 to 2024Enrolled52ConditionsPregnancyArmsstandard-gamble technique, time trade-off technique
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 7 syntheses or guidelines pooled it, 122 citations in OpenAlex.

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  15. Multicenter external validation of prediction models for clinical outcomes after spinal fusion for lumbar degenerative disease.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2024
    Article
  16. Tutorial: dos and don'ts in clinical prediction research for venous thromboembolism.Research and practice in thrombosis and haemostasis · 2024
    Article
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  19. Development and validation of the lung donor (LUNDON) acceptability score for pulmonary transplantation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Alyshah Abdul SultanResearch Institute of Primary Care and Health Sciences, Keele University, Keele ST5 5BG, UK.
Joe WestDivision of Epidemiology and Public Health, University of Nottingham, City Hospital, Nottingham NG5 1PB, UK.
Matthew J GraingeDivision of Epidemiology and Public Health, University of Nottingham, City Hospital, Nottingham NG5 1PB, UK.
Richard D RileyResearch Institute of Primary Care and Health Sciences, Keele University, Keele ST5 5BG, UK.
Laila J TataDivision of Epidemiology and Public Health, University of Nottingham, City Hospital, Nottingham NG5 1PB, UK.
Olof StephanssonDepartment of Medicine, Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden.
Kate M FlemingDivision of Epidemiology and Public Health, University of Nottingham, City Hospital, Nottingham NG5 1PB, UK.
Catherine Nelson-PiercyWomen's Health Academic Centre, Guy's & St Thomas' Foundation Trust, St Thomas' Hospital, London SE1 7EH, UK.
Jonas F LudvigssonDivision of Epidemiology and Public Health, University of Nottingham, City Hospital, Nottingham NG5 1PB, UK.
Nottingham City Hospital · GBKarolinska Institutet · SEGuy's and St Thomas' NHS Foundation Trust · GBKeele University · GBLiverpool John Moores University · GBUniversity of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop and validate a risk prediction model for venous thromboembolism in the first six weeks after delivery (early postpartum).

designCohort study.

settingRecords from England based Clinical Practice Research Datalink (CPRD) linked to Hospital Episode Statistics (HES) and data from Sweden based registry.

participantsAll pregnant women registered with CPRD-HES linked data between 1997 and 2014 and Swedish medical birth registry between 2005 and 2011 with postpartum follow-up.

main outcome measureMultivariable logistic regression analysis was used to develop a risk prediction model for postpartum venous thromboembolism based on the English data, which was externally validated in the Swedish data.

results433 353 deliveries were identified in the English cohort and 662 387 in the Swedish cohort. The absolute rate of venous thromboembolism was 7.2 per 10 000 deliveries in the English cohort and 7.9 per 10 000 in the Swedish cohort. Emergency caesarean delivery, stillbirth, varicose veins, pre-eclampsia/eclampsia, postpartum infection, and comorbidities were the strongest predictors of venous thromboembolism in the final multivariable model. Discrimination of the model was similar in both cohorts, with a C statistic above 0.70, with excellent calibration of observed and predicted risks. The model identified more venous thromboembolism events than the existing national English (sensitivity 68% v 63%) and Swedish guidelines (30% v 21%) at similar thresholds.

conclusionA new prediction model that quantifies absolute risk of postpartum venous thromboembolism has been developed and externally validated. It is based on clinical variables that are available in many developed countries at the point of delivery and could serve as the basis for real time decisions on obstetric thromboprophylaxis.

Indexed as

AdultCesarean SectionCohort StudiesComorbidityEclampsiaEmergenciesEnglandFemaleHumansLogistic ModelsMultivariate AnalysisPre-EclampsiaPregnancyPuerperal DisordersPuerperal InfectionPulmonary Embolism

Identifiers

PMID27919934
PMCPMC5137302
OpenAlexW2559793636

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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.