Evidence map›Paper›PMID 36382102›Full record

ArticleExperimental and therapeutic medicine2022

New born macrosomia in gestational diabetes mellitus.

Elena Georgiana Bernea, Elena Uyy, Doina-Andrada Mihai, Iuliana Ceausu, Constantin Ionescu-Tirgoviste, Viorel-Iulian Suica, Luminita Ivan, Felicia Antohe

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
4.1field-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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Artificial Intelligence in Gestational Diabetes Care: A Systematic Review.Journal of diabetes science and technology · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Observational
  14. 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

8 authors at 1 institution in 1 country.

Elena Georgiana BerneaSecond Department of Diabetes, 'Prof. N. Paulescu' National Institute of Diabetes, Nutrition and Metabolic Diseases, Bucharest 020474, Romania.
Elena UyyProteomics Department, Institute of Cellular Biology and Pathology 'Nicolae Simionescu', Bucharest 050568, Romania.
Doina-Andrada MihaiSecond Department of Diabetes, 'Prof. N. Paulescu' National Institute of Diabetes, Nutrition and Metabolic Diseases, Bucharest 020474, Romania.
Iuliana CeausuFaculty of Medicine, University of Medicine and Pharmacy 'Carol Davila', Bucharest 020021, Romania.
Constantin Ionescu-TirgovisteSecond Department of Diabetes, 'Prof. N. Paulescu' National Institute of Diabetes, Nutrition and Metabolic Diseases, Bucharest 020474, Romania.
Viorel-Iulian SuicaProteomics Department, Institute of Cellular Biology and Pathology 'Nicolae Simionescu', Bucharest 050568, Romania.
Luminita IvanProteomics Department, Institute of Cellular Biology and Pathology 'Nicolae Simionescu', Bucharest 050568, Romania.
Felicia AntoheProteomics Department, Institute of Cellular Biology and Pathology 'Nicolae Simionescu', Bucharest 050568, Romania.
Carol Davila University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is a metabolic complication of pregnancy. The pathogenesis of GDM is considered to involve β-cell dysfunction and insulin resistance (IR). GDM is associated with a significant risk of macrosomia in addition to a high probability of metabolic complications for the offspring. The precise mechanism underlying GDM remains unclear. The aim of the present study was to analyse the factors associated with insulin resistance and β-cell dysfunction involved in the pathophysiology of GDM complicated with macrosomia compared with GDM without macrosomia. In addition, another aim of the present study was to assess the relationship between GDM complicated with macrosomia and anthropometric, clinical and paraclinical parameters. The following group of patients were recruited as part of a case-control study: Patients with GDM without macrosomia, patients with GDM complicated with macrosomia and healthy gestational controls. Blood samples were collected at the third trimester of pregnancy and tested for adiponectin, leptin, insulin, proinsulin and C-peptide. Homeostatic model assessment-IR (HOMA-IR), steady state β-cell function (HOMA%B), insulin sensitivity (HOMA%S) and body mass index (BMI) were also calculated. All patients diagnosed with GDM showed an impairment in HOMA%B and a decrease in C-peptide maternal serum concentration. Additionally, diabetic status leading to the birth of offspring with macrosomia did not induce changes in the maternal serum levels of insulin, proinsulin, adiponectin or leptin, which was also the case in patients with GDM but not macrosomia. HOMA%B presented a stronger positive correlation with pre-pregnancy BMI and maternal weight gain, and a stronger negative correlation with adiponectin. Furthermore, HOMA%S in this group exhibited strong positive correlations with maternal serum levels of high-density lipoprotein cholesterol (HDL) and aspartate aminotransferase, and a strong negative correlation with pre-pregnancy BMI. In the same patients, HOMA-IR was also found to have a high negative correlation with HDL levels, and highly positive correlations with gestational age and triglyceride levels. In conclusion, the present study suggests that the different correlations among the factors involved in the pathogenesis of GDM may explain the evolution of GDM pregnancy to macrosomia.

Indexed as

adipokinesgestational diabetesinsulin resistancemacrosomiaβ-cell dysfunction

Identifiers

PMID36382102
PMCPMC9634345
OpenAlexW4301430771

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.