Evidence map›Paper›PMID 35650561›Full record

ArticleBMC pregnancy and childbirth2022

Sex-dependent influence of maternal predictors on fetal anthropometry in pregnancies with gestational diabetes mellitus.

Maria-Christina Antoniou, Leah Gilbert, Justine Gross, Jean-Benoît Rossel, Céline Julie Fischer Fumeaux, Yvan Vial, Jardena Jacqueline Puder

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

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

7 authors at 3 institutions in 1 country.

Maria-Christina AntoniouPediatric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland. maria-christina.antoniou@chuv.ch.
Leah GilbertObstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.
Justine GrossObstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.
Jean-Benoît RosselCenter for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland.
Céline Julie Fischer FumeauxClinic of Neonatology, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.
Yvan VialObstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.
Jardena Jacqueline PuderObstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.
University Hospital of Lausanne · CHCentre universitaire de médecine générale et santé publique, Lausanne · CHUniversity of Lausanne · CH

Funding

Swiss National Science Foundation SNF 32003B_176119
6 · The paper itself

Abstract

backgroundThird trimester fetal anthropometric parameters are known to predict neonatal complications. A better understanding of predictors of adverse fetal parameters might help to personalize the use and frequency of fetal ultrasound. The objectives of this study were: (a) to evaluate the utility of maternal sociodemographic, anthropometric and metabolic predictors to predict 3

methodsThis prospective study included 189 women with GDM. Maternal predictors were age, ethnicity, prepregnancy BMI, GWG and excessive weight gain until the 1

resultsIn multivariate analyses, prepregnancy BMI was associated with FWC, FWC > 90% and FACC. GWG until the 1

conclusionsA personalized fetal ultrasound surveillance guided by fetal sex, prepregnancy BMI and GWG may be beneficial in reducing adverse fetal and neonatal outcomes.

Indexed as

Diabetes, GestationalAnthropometryBody Mass IndexFemaleFetal MacrosomiaHumansInfant, NewbornMalePregnancyProspective StudiesFetal anthropometryFetal sexFetal ultrasoundGestational diabetesRisk stratification

Identifiers

PMID35650561
PMCPMC9158189
OpenAlexW4281685834

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.