Evidence map›Paper›PMID 42605317›Full record

ArticleJournal of inflammation research2026

Inflammatory Biomarkers in Relation to Gestational Diabetes Mellitus: A Prospective Study and Meta-Analysis.

Ping Wu, Yi Ye, Yi Wang, Xue Yang, Jiaying Yuan, Jianguo Xu, Yi-Xin Wang, Jin Wu, Gang Liu, An Pan and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of inflammation research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ping Wu *Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.ORCID 0000-0001-5718-9922
Yi Ye *Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
Yi WangDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Xue YangDepartment of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, People's Republic of China.
Jiaying YuanDepartment of Science and Education, Shuangliu Maternal and Child Health Hospital, Chengdu, People's Republic of China.
Jianguo XuDepartment of Clinical Laboratories, Shuangliu Maternal and Child Health Hospital, Chengdu, People's Republic of China.
Yi-Xin WangDepartment of Environmental Health, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Jin WuDepartment of Pediatrics, Ministry of Education Key Laboratory of Birth Defects and Related Diseases of Women and Children, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.
Gang LiuDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
An PanDepartment of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.ORCID 0000-0002-1089-7945
Xiong-Fei PanLaboratory of Epidemiology and Population Health & Children's Medicine Key Laboratory of Sichuan Province, West China Institute of Women and Children's Health, West China Second University Hospital, Sichuan University, Chengdu, People's Republic of China.ORCID 0000-0002-9350-9230

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The prospective association between C-reactive protein (CRP) and gestational diabetes mellitus (GDM) is inconsistent, and the independent association of tumor necrosis factor-α (TNF-α) with GDM risk remains unclear. We aimed to prospectively evaluate associations of early-pregnancy CRP and TNF-α with incident GDM and updated the evidence through a meta-analysis. Methods: Serum CRP and TNF-α levels were measured at 6-15 weeks of gestation among 332 GDM and 664 matched controls. Conditional logistic regression was used to compute odds ratios (ORs) and 95% confidence intervals (CIs). PubMed and EMBASE were searched up to June 18, 2025, to identify prospective studies that investigated associations of CRP and TNF-α levels with GDM. Results: After multivariable adjustment, OR for GDM was 1.75 (95% CI 1.07, 2.84) for the extreme-quartile comparison of CRP and a non-linear association was noted ( Conclusion: Elevated CRP and TNF-α levels in early pregnancy were independently associated with increased risks of GDM. While our findings support potential roles of inflammation in GDM, specific pathways involved should be examined to identify novel targets for the prevention of GDM.

Indexed as

C-reactive proteingestational diabetes mellitusnested case-control studyprospective studytumor necrosis factor-α

Identifiers

PMID42605317
PMCPMC13477655

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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.