Evidence map›Paper›PMID 37247379›Full record

ArticleThe Journal of clinical endocrinology and metabolism2023

Risk Estimation of Gestational Diabetes Mellitus in the First Trimester.

Dóra Gerszi, Gergő Orosz, Marianna Török, Balázs Szalay, Gellért Karvaly, László Orosz, Judit Hetthéssy, Barna Vásárhelyi, Olga Török, Eszter M Horváth and 1 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of clinical endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. Observational
  9. Article
  10. Article
  11. 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

11 authors at 2 institutions in 1 country.

Dóra GersziDepartment of Obstetrics and Gynecology, Faculty of Medicine, Semmelweis University, Budapest H-1082, Hungary.ORCID 0000-0001-9883-7367
Gergő OroszDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen Medical and Health Science Centre, Debrecen H-4032, Hungary.
Marianna TörökDepartment of Obstetrics and Gynecology, Faculty of Medicine, Semmelweis University, Budapest H-1082, Hungary.
Balázs SzalayDepartment of Laboratory Medicine, Semmelweis University, Budapest H-1083, Hungary.
Gellért KarvalyLaboratory of Mass Spectrometry and Separation Technology, Department of Laboratory Medicine, Semmelweis University, Budapest H-1089, Hungary.
László OroszDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen Medical and Health Science Centre, Debrecen H-4032, Hungary.
Judit HetthéssyWorkgroup for Science Management, Doctoral School, Semmelweis University, Budapest H-1085, Hungary.
Barna VásárhelyiDepartment of Laboratory Medicine, Semmelweis University, Budapest H-1083, Hungary.
Olga TörökDepartment of Obstetrics and Gynecology, Faculty of Medicine, University of Debrecen Medical and Health Science Centre, Debrecen H-4032, Hungary.
Eszter M HorváthDepartment of Physiology, Faculty of Medicine, Semmelweis University, Budapest H-1094, Hungary.
Szabolcs VárbíróDepartment of Obstetrics and Gynecology, Faculty of Medicine, Semmelweis University, Budapest H-1082, Hungary.
Semmelweis University · HUUniversity of Debrecen · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThere is no early, first-trimester risk estimation available to predict later (gestational week 24-28) gestational diabetes mellitus (GDM); however, it would be beneficial to start an early treatment to prevent the development of complications.

objectiveWe aimed to identify early, first-trimester prediction markers for GDM.

methodsThe present case-control study is based on the study cohort of a Hungarian biobank containing biological samples and follow-up data from 2545 pregnant women. Oxidative-nitrative stress-related parameters, steroid hormone, and metabolite levels were measured in the serum/plasma samples collected at the end of the first trimester from 55 randomly selected control and 55 women who developed GDM later.

resultsPregnant women who developed GDM later during the pregnancy were older and had higher body mass index. The following parameters showed higher concentration in their serum/plasma samples: fructosamine, total antioxidant capacity, testosterone, cortisone, 21-deoxycortisol; soluble urokinase plasminogen activator receptor, dehydroepiandrosterone sulfate, dihydrotestosterone, cortisol, and 11-deoxycorticosterone levels were lower. Analyzing these variables using a forward stepwise multivariate logistic regression model, we established a GDM prediction model with a specificity of 96.6% and sensitivity of 97.5% (included variables: fructosamine, cortisol, cortisone, 11-deoxycorticosterone, SuPAR).

conclusionBased on these measurements, we accurately predict the development of later-onset GDM (24th-28th weeks of pregnancy). Early risk estimation provides the opportunity for targeted prevention and the timely treatment of GDM. Prevention and slowing the progression of GDM result in a lower lifelong metabolic risk for both mother and offspring.

Indexed as

CortisoneDiabetes, GestationalCase-Control StudiesDesoxycorticosteroneFemaleFructosamineHumansHydrocortisonePregnancyPregnancy Trimester, FirstCortisoneDesoxycorticosteroneFructosamineHydrocortisoneearly risk estimationfirst trimesterGDMoxidative-nitrative stresssteroid metabolites

Identifiers

PMID37247379
PMCPMC10584002
OpenAlexW4378715505

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.