Evidence map›Paper›PMID 31666083›Full record

ReviewCardiovascular diabetology2019

Predictive and diagnostic biomarkers for gestational diabetes and its associated metabolic and cardiovascular diseases.

A Lorenzo-Almorós, T Hang, C Peiró, L Soriano-Guillén, J Egido, J Tuñón, Ó Lorenzo

Open access · goldAbstract readReview
In one paragraph

Review in Cardiovascular diabetology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 6 pooled it
21.1field-weighted citation impact, top 1% 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

106 citing papers in PubMed, 6 syntheses or guidelines pooled it, 214 citations in OpenAlex.

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  10. LASSO regression-derived first-trimester (9-14Archives of gynecology and obstetrics · 2026
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46 more citing papers are in PubMed but not listed here.

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 2 countries.

A Lorenzo-AlmorósRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain.
T HangRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain.
C PeiróDepartment of Pharmacology, School of Medicine, Universidad Autónoma de Madrid, Madrid, Spain.
L Soriano-GuillénDepartment of Paediatrics, IIS-Fundación Jiménez Díaz, UAM, Madrid, Spain.
J EgidoRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain.
J TuñónDepartment of Cardiology, Fundación Jiménez Díaz, Madrid, Spain.
Ó LorenzoRenal, Vascular and Diabetes Laboratory, Instituto de Investigaciones Sanitarias-Fundación Jiménez Díaz, Universidad Autónoma de Madrid, Av. Reyes Católicos 2, 28040, Madrid, Spain. olorenzo@fjd.es.ORCID 0000-0001-5515-6078
Hospital Universitario Fundación Jiménez Díaz · ESCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESUniversidad Autónoma de Madrid · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is defined as the presence of high blood glucose levels with the onset, or detected for the first time during pregnancy, as a result of increased insulin resistance. GDM may be induced by dysregulation of pancreatic β-cell function and/or by alteration of secreted gestational hormones and peptides related with glucose homeostasis. It may affect one out of five pregnancies, leading to perinatal morbidity and adverse neonatal outcomes, and high risk of chronic metabolic and cardiovascular injuries in both mother and offspring. Currently, GDM diagnosis is based on evaluation of glucose homeostasis at late stages of pregnancy, but increased age and body-weight, and familiar or previous occurrence of GDM, may conditionate this criteria. In addition, an earlier and more specific detection of GDM with associated metabolic and cardiovascular risk could improve GDM development and outcomes. In this sense, 1st-2nd trimester-released biomarkers found in maternal plasma including adipose tissue-derived factors such as adiponectin, visfatin, omentin-1, fatty acid-binding protein-4 and retinol binding-protein-4 have shown correlations with GDM development. Moreover, placenta-related factors such as sex hormone-binding globulin, afamin, fetuin-A, fibroblast growth factors-21/23, ficolin-3 and follistatin, or specific micro-RNAs may participate in GDM progression and be useful for its recognition. Finally, urine-excreted metabolites such as those related with serotonin system, non-polar amino-acids and ketone bodies, may complete a predictive or early-diagnostic panel of biomarkers for GDM.

Indexed as

Energy MetabolismBiomarkersBlood GlucoseCardiovascular DiseasesComorbidityDiabetes, GestationalFemaleHumansMicroRNAsPredictive Value of TestsPregnancyPrognosisRisk AssessmentRisk FactorsBiomarkersBlood GlucoseMicroRNAsCardiovascular diseaseDiagnostic biomarkersGestational diabetesMetabolic diseasePredictive biomarkers

Identifiers

PMID31666083
PMCPMC6820966
OpenAlexW2982430392

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.