Evidence map›Paper›PMID 36968929›Full record

ArticleCureus2023

Indicators of Cardiometabolic Function in Pregnancy and Long-Term Risk of COVID-19: Population-Based Cohort Study.

Joel G Ray, Eyal Cohen, Emily Ana Butler, Sonia Grandi, Alison Park

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Article in Cureus, 2023. 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

5 authors.

Joel G RayObstetrical Medicine, University of Toronto, Toronto, CAN.
Eyal CohenPediatrics, The Hospital for Sick Children, Toronto, CAN.
Emily Ana ButlerPediatrics, University of Toronto, Toronto, CAN.
Sonia GrandiPediatrics, The Hospital for Sick Children, Toronto, CAN.
Alison ParkEpidemiology, Institute for Clinical Evaluative Sciences (ICES), Toronto, CAN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPregnancy increases a woman's susceptibility to severe COVID-19, especially those with metabolic dysfunction. It is unknown if markers of metabolic dysfunction commonly assessed around pregnancy are associated with COVID-19 illness after pregnancy.

aimThe aim of this study is to evaluate the indicators of metabolic dysfunction collected in pregnancy and the future risk of severe COVID-19 after pregnancy.

methodsThis population-based cohort study was completed in all of Ontario, comprising 417,713 women aged 15-49 years with a hospital birth between April 2007 and March 2018. The main exposure was each 1-kg/m

resultsThe adjusted hazard ratio (aHR) of COVID-19 illness increased per 1-kg/m

conclusionsThe number, and degree, of standard metabolic indicators measured around pregnancy predict the future risk of severe COVID-19 remotely after that pregnancy.

Indexed as

body mass indexcovid-19hyperglycemiametabolic syndromeobstetricspregnancyprematuritysars-cov-2

Identifiers

PMID36968929
PMCPMC10038685

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read20
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.