Evidence map›Paper›PMID 33842997›Full record

Observational studyActa diabetologica2021

Screening of postpartum diabetes in women with gestational diabetes: high-risk subgroups and areas for improvements-the STRONG observational study.

Angela Napoli, Laura Sciacca, Basilio Pintaudi, Andrea Tumminia, Maria Grazia Dalfrà, Camilla Festa, Gloria Formoso, Raffaella Fresa, Giusi Graziano, Cristina Lencioni and 9 more

Erratum issuedOpen access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Acta diabetologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Prevalence of Screening for Diabetes Mellitus in Patients Previously Diagnosed with Gestational Diabetes: Factors Related to its Performance.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2022
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 14 institutions in 2 countries.

Angela NapoliAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy. angela.napoli@uniroma1.it.ORCID http://orcid.org/0000-0002-9750-3944
Laura SciaccaAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Basilio PintaudiAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Andrea TumminiaAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Maria Grazia DalfràDepartment of Medicine, University of Padova, Padova, Italy.
Camilla FestaAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Gloria FormosoAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Raffaella FresaAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Giusi GrazianoCORESEARCH - Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy.
Cristina LencioniAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Antonio NicolucciCORESEARCH - Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy.
Maria Chiara RossiCORESEARCH - Center for Outcomes Research and Clinical Epidemiology, Pescara, Italy.
Elena SuccurroAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Maria Angela SculliAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Marina ScaviniAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Ester VitacolonnaAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Matteo BonomoAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
Elisabetta TorloneAMD-SID Diabetes and Pregnancy Study Group, Rome, Italy.
STRONG Study Collaborators and the AMD-SID Diabetes and Pregnancy Study Group
Advanced Micro Devices (Canada) · CAUniversity of Catania · ITAssociazione Medici Diabetologi · ITCenter for Outcomes Research and Clinical Epidemiology · ITMagna Graecia University · ITAzienda Ospedaliera di Perugia · ITAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITUniversity of Chieti-Pescara · ITAzienda ospedaliera "Bianchi-Melacrino-Morelli" · ITUniversity of Padua · ITUniversity of Salerno · ITAzienda Ospedaliera Sant'Andrea · ITAzienda Usl Toscana Centro · ITVita-Salute San Raffaele University · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo assess the proportion of women with gestational diabetes (GDM) by performing postpartum Oral Glucose Tolerance Test (OGTT) and to identify GDM phenotypes at high-risk of postpartum dysglycemia (PPD).

methodsObservational, retrospective, multicenter study involving consecutive GDM women. Recursive partitioning (RECPAM) analysis was used to identify distinct and homogeneous subgroups of women at different PPD risk.

resultsFrom a sample of 2,736 women, OGTT was performed in 941 (34.4%) women, of whom 217 (23.0%) developed PPD. Insulin-treated women having family history of diabetes represented the subgroup with the highest PPD risk (OR 5.57, 95% CI 3.60-8.63) compared to the reference class (women on diet with pre-pregnancy BMI <  = 28.1 kg/m

conclusionsIncreasing compliance to postpartum OGTT to prevent/delay PPD is a priority. Easily available characteristics identify subgroups of women more likely to benefit from preventive strategies. Fasting BG values during pregnancy lower than those usually considered deserve attention.

Indexed as

Diabetes, GestationalAdultBlood GlucoseFemaleGlucose Tolerance TestHumansPostpartum PeriodPregnancyRetrospective StudiesRisk FactorsBlood GlucoseGestational diabetesObesityPostpartum dysglycemiaRisk factorsType 2 diabetes

Identifiers

PMID33842997
PMCPMC8316164
OpenAlexW3156111513

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.