Evidence map›Paper›PMID 38026545›Full record

ArticleJournal of pregnancy2023

Obesity Cut-Off Points Using Prepregnancy Body Mass Index according to Cardiometabolic Conditions in Pregnancy.

Renata O Neves, Alexandre da S Rocha, Bruna O de Vargas, Daniela C Kretzer, Salete de Matos, Marcelo Z Goldani, Lisia von Diemen, José A de A Magalhães, Juliana R Bernardi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of pregnancy, 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
0.6field-weighted citation impact, top 28% 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.

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, 2 citations in OpenAlex.

  1. Review
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

9 authors at 1 institution in 1 country.

Renata O NevesGraduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0003-3064-4109
Alexandre da S RochaGraduate Program in Health Sciences: Gynaecology and Obstetrics, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-9283-0559
Bruna O de VargasUndergraduate Nutrition Course, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0001-6848-0141
Daniela C KretzerGraduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-4712-3572
Salete de MatosGraduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-6175-1719
Marcelo Z GoldaniDepartment of Pediatric, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-7414-5443
Lisia von DiemenHospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0001-9228-7114
José A de A MagalhãesHospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-8198-6056
Juliana R BernardiGraduate Program in Child and Adolescent Health, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.ORCID https://orcid.org/0000-0002-6803-4472
Universidade Federal do Rio Grande do Sul · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To suggest cut-off points for body mass index (BMI) using gestational hypertension, preeclampsia, and gestational diabetes mellitus (GDM) as cardiometabolic conditions in pregnancy. Methods: In this prospective study, singleton pregnant women from the fetal medicine service of the Brazilian Unified Health System were included. The pregnancy, perinatal, and newborn data were obtained from the clinical medical records. Maternal anthropometry included an assessment of weight and height and the prepregnancy BMI evaluation categorized according to the World Health Organization cut-off points. The area under the curve and confidence interval values from receiver operator curves were generated to identify the optimal cut-off points using prepregnancy BMI with better sensitivity and specificity. Results: Data on 218 pregnancies were analyzed, with 57.9% ( Conclusion: The findings suggest that the optimal prepregnancy BMI cut-off point is around 27 kg/m

Indexed as

Diabetes, GestationalHypertension, Pregnancy-InducedPre-EclampsiaBody Mass IndexFemaleHumansInfant, NewbornObesityPregnancyProspective StudiesRisk Factors

Identifiers

PMID38026545
PMCPMC10667054
OpenAlexW4388721211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.