Evidence map›Paper›PMID 37268897›Full record

ArticleBMC pregnancy and childbirth2023

Predicting insulin use among women with gestational diabetes diagnosed in oral glucose tolerance test.

Tatiana A Zaccara, Fernanda C F Mikami, Cristiane F Paganoti, Rossana P V Francisco, Rafaela A Costa

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Prediction Models for Maternal and Offspring Short- and Long-Term Outcomes Following Gestational Diabetes: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Observational
  6. Review
  7. The use of machine learning to predict pharmacological therapy in gestational diabetes: A scoping review.Diabetic medicine : a journal of the British Diabetic Association · 2026
    Review
  8. 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 at 1 institution in 1 country.

Tatiana A ZaccaraDepartamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, SP, Brazil. tatiana.assuncao@hc.fm.usp.br.
Fernanda C F MikamiDivisão de Clínica Obstétrica do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, SP, Brazil.
Cristiane F PaganotiDivisão de Clínica Obstétrica do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, SP, Brazil.
Rossana P V FranciscoDepartamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, SP, Brazil.
Rafaela A CostaDepartamento de Obstetrícia e Ginecologia da Faculdade de Medicina da Universidade de São Paulo, Sao Paulo, SP, Brazil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is one of the most common complications affecting pregnant women. While most women will achieve adequate glycemic levels with diet and exercise, some will require pharmacological treatment to reach and maintain glucose levels between the desired thresholds. Identifying these patients early in pregnancy could help direct resources and interventions.

methodsThis retrospective cohort of women with GDM diagnosed with an abnormal 75g-OGTT presents data from 869 patients (724 in the diet group and 145 in the insulin group). Univariate logistic regression was used to compare the groups, and multivariable logistic regression was used to identify independent factors associated with the need for insulin. A log-linear function was used to estimate the probability of requiring pharmacological treatment.

resultsWomen in the insulin group had higher pre-pregnancy BMI index (29.8 vs 27.8 kg/m

conclusionsWe can use regularly collected data from patients (age, BMI, previous GDM status, and the three OGTT values) to calculate the risk of a woman with GDM diagnosed in OGTT needing insulin. Identifying patients with a greater risk of requiring pharmacological treatment could help healthcare services to better allocate resources and offer closer follow-up to high-risk patients.

Indexed as

Diabetes, GestationalDiet TherapyExerciseInsulinAdultBlood GlucoseBody Mass IndexCross-Sectional StudiesDietFemaleGlucose Tolerance TestGlycemic ControlHumansPregnancyRetrospective StudiesBlood GlucoseInsulinDietGestational diabetesIADPSGInsulinOral glucose tolerance test

Identifiers

PMID37268897
PMCPMC10236572
OpenAlexW4379197711

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.