Evidence map›Paper›PMID 38095269›Full record

ReviewJournal of diabetes investigation2024

The role of lipid dysregulation in gestational diabetes mellitus: Early prediction and postpartum prognosis.

Ziyi Zhang, Zheng Zhou, Hong Li

Open access · goldAbstract readReview
In one paragraph

Review in Journal of diabetes investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
10.3field-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

28 citing papers in PubMed, 35 citations in OpenAlex.

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  14. Ameliorative Effect of Heat-KilledJournal of microbiology and biotechnology · 2025
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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

3 authors at 2 institutions in 1 country.

Ziyi ZhangDepartment of Endocrinology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China.
Zheng ZhouZhejiang University, School of Medicine, Hangzhou, China.
Hong LiDepartment of Endocrinology, Sir Run Run Shaw Hospital, Zhejiang University, School of Medicine, Hangzhou, China.ORCID https://orcid.org/0000-0003-4158-1860
Sir Run Run Shaw Hospital · CNCommunication University of Zhejiang · CN

Funding

Medical Health Science and Technology Project of Zhejiang Provincial Health Commission 2023RC036National Natural Science Foundation of China 82100702
6 · The paper itself

Abstract

Gestational diabetes mellitus (GDM) is a pathological condition during pregnancy characterized by impaired glucose tolerance, and the failure of pancreatic beta-cells to respond appropriately to an increased insulin demand. However, while the majority of women with GDM will return to normoglycemia after delivery, they have up to a seven times higher risk of developing type 2 diabetes during midlife, compared with those with no history of GDM. Gestational diabetes mellitus also increases the risk of multiple metabolic disorders, including non-alcoholic fatty liver disease, obesity, and cardiovascular diseases. Lipid metabolism undergoes significant changes throughout the gestational period, and lipid dysregulation is strongly associated with GDM and the progression to future type 2 diabetes. In addition to common lipid variables, discovery-based omics techniques, such as metabolomics and lipidomics, have identified lipid biomarkers that correlate with GDM. These lipid species also show considerable potential in predicting the onset of GDM and subsequent type 2 diabetes post-delivery. This review aims to update the current knowledge of the role that lipids play in the onset of GDM, with a focus on potential lipid biomarkers or metabolic pathways. These biomarkers may be useful in establishing predictive models to accurately predict the future onset of GDM and type 2 diabetes, and early intervention may help to reduce the complications associated with GDM.

Indexed as

Diabetes, GestationalDiabetes Mellitus, Type 2BiomarkersFemaleHumansLipidsPostpartum PeriodPregnancyPrognosisBiomarkersLipidsBiomarkersGestational diabetesLipid metabolism

Identifiers

PMID38095269
PMCPMC10759727
OpenAlexW4389735338

What OpenQuestion 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 OpenQuestion graph.