Evidence map›Paper›PMID 30099391›Full record

ArticleBMJ open2018

Binational cohort study comparing the management and outcomes of pregnant women with a BMI >50-59.9 kg/m

Stephen J McCall, Zhuoyang Li, Jennifer J Kurinczuk, Elizabeth Sullivan, Marian Knight

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Stephen J McCallNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.ORCID 0000-0003-0078-7010
Zhuoyang LiThe Australian Centre for Public and Population Health Research, University of Technology Sydney, Sydney, Australia.
Jennifer J KurinczukNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Elizabeth SullivanThe Australian Centre for Public and Population Health Research, University of Technology Sydney, Sydney, Australia.
Marian KnightNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.

Funding

Department of Health PDA/02/06/044Department of Health RP-PG-0608-10038Medical Research Council MR/K501256/1
6 · The paper itself

Abstract

objectivesTo compare the management, maternal and perinatal outcomes of women with a body mass index (BMI) ≥60 kg/m

designInternational collaborative cohort study.

settingBinational study in the UK and Australia.

participantsUK: all pregnant women, and Australia: women who gave birth (birth weight ≥400 g or gestation ≥20 weeks)

methodsData from the Australasian Maternity Outcomes Surveillance System and UK Obstetric Surveillance System. Management, maternal and infant outcomes were compared between women with a BMI ≥60 kg/m

resultsThe sociodemographic characteristics and previous medical histories were similar between the 111 women with a BMI ≥60 kg/m

conclusionsWomen are managed differently on the basis of BMI even at this extreme as shown by thromboprophylaxis. The pre-eclampsia result suggests that future research should examine whether weight reduction of any amount prior to pregnancy could reduce poor outcomes even if women remain extremely obese.

Indexed as

AdultAustraliaBody Mass IndexFemaleFibrinolytic AgentsHumansLogistic ModelsObesity, MorbidPopulation SurveillancePre-EclampsiaPregnancyPregnancy OutcomeProspective StudiesRisk AssessmentUltrasonography, PrenatalUnited KingdomFibrinolytic Agentsobesityobesity in pregnancyobstetrics

Identifiers

PMID30099391
PMCPMC6089316

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.