Evidence map›Paper›PMID 39498867›Full record

ArticleObesity (Silver Spring, Md.)2024

Risk related to gestational weight loss among individuals with obesity: a population-based cohort study.

Yanfang Guo, Sara C S Souza, Liam Bruce, Rong Luo, Darine El-Chaâr, Laura M Gaudet, Katherine Muldoon, Steven Hawken, Sandra I Dunn, Ruth Rennicks White and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Obesity (Silver Spring, Md.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

14 authors.

Yanfang GuoClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Sara C S SouzaClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID https://orcid.org/0000-0001-5269-7207
Liam BruceBetter Outcomes Registry and Network (BORN) Ontario, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada.
Rong LuoClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Darine El-ChaârClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Laura M GaudetDepartment of Obstetrics and Gynecology, Kingston Health Sciences Centre, Kingston, Ontario, Canada.
Katherine MuldoonClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Steven HawkenClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Sandra I DunnClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Ruth Rennicks WhiteClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Alysha L J Dingwall-HarveyClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Mark C WalkerClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Shi Wu WenClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.
Daniel J CorsiClinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Ontario, Canada.

Funding

CIHR 202010PJV/456020
6 · The paper itself

Abstract

objectiveThere is no clear evidence on the risk of gestational weight loss (GWL) for individuals with obesity. Our study aimed to assess the association between GWL and adverse perinatal outcomes among individuals with obesity.

methodsThis population-based retrospective cohort study examined individuals with prepregnancy BMI ≥ 30 kg/m

resultsOf the 157,205 individuals with obesity, 6.1% experienced GWL. Compared with adequate gestational weight gain, GWL was associated with an increased risk of a composite of adverse perinatal outcomes (adjusted risk ratio: 1.31; 95% CI: 1.22-1.39). Similar results were observed in the stratified analysis. Restricted cubic spline regression analysis revealed that average weekly gestational weight changes displayed a nonlinear U-shaped association, with a higher risk of a composite of adverse perinatal outcomes noted in the extremities, particularly toward GWL and excessive weight gain.

conclusionsOur findings suggest that GWL may increase the risk of adverse perinatal outcomes across all obesity classes.

Indexed as

Gestational Weight GainObesityWeight LossAdultBody Mass IndexCohort StudiesFemaleHumansInfant, NewbornOntarioPregnancyPregnancy ComplicationsPregnancy OutcomeRetrospective StudiesRisk FactorsYoung Adult

Identifiers

PMID39498867
PMCPMC11589539

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.