Evidence map›Paper›PMID 37033215›Full record

SynthesisFrontiers in endocrinology2023

Serum afamin levels in predicting gestational diabetes mellitus and preeclampsia: A systematic review and meta-analysis.

Ying Yuan, Wenyin He, Xuejiao Fan, Junyu Liang, Zhen Cao, Lei Li

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Proteomic biomarkers of cognitive function,medRxiv : the preprint server for health sciences · 2026
    Article
  6. Review
  7. Comparative Analysis of Afamin, Asprosin, and Pentraxin 3 Levels in Women with PCOS and Women with Unexplained Infertility.Medical science monitor : international medical journal of experimental and clinical research · 2025
    Article
  8. First Trimester Placental Biomarkers for Pregnancy Outcomes.International journal of molecular sciences · 2024
    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

6 authors at 3 institutions in 1 country.

Ying YuanDepartment of Clinical Laboratory, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wenyin HeDepartment of Clinical Laboratory, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Xuejiao FanDepartment of Clinical Laboratory, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Junyu LiangDepartment of Clinical Laboratory, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Zhen CaoZhujiang Hospital of Southern Medical University, Guangzhou, China.
Lei LiDepartment of Clinical Laboratory, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Guangzhou Medical University · CNThird Affiliated Hospital of Guangzhou Medical University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The association between biomarkers and the risk of gestational diabetes mellitus (GDM) or preeclampsia (PE) has been extensively studied. However, there is still a lack of convenient, specific, and sensitive indicators for early identification of GMD and PE. Therefore, we conducted a meta-analysis of published articles to investigate the value of afamin circulating levels in the early diagnosis of GDM and PE. Methods: We searched the PubMed, Embase, Cochrane Library, and Web of Science databases for English studies published before November 16, 2022, that examined the association between afamin and GDM or PE. In addition, we searched Clinicaltrials.gov for the relevant completed and ongoing clinical trials. Pooled standard mean differences (SMDs) and weighted mean differences (WMDs) with 95% confidence intervals (CIs) were used to compare the levels of afamin in different groups. Results: Eleven studies were included in our analysis (N = 3047 participants: 1195 GDM, 1407 non-GDM, 195 PE, and 250 non-PE). Subgroup analysis based on different blood collection periods found that the plasma afamin levels in pregnant women with GDM in the first trimester were significantly higher than those in healthy pregnant women (SMD = 0.481, 95% CI: 0.280-0.682), but the analysis showed the opposite results in the second and late stages (SMD = 0.292, 95% CI: -0.092-0.676). The plasma afamin levels of pregnant women with PE in the first trimester (SMD = 0.808, 95% CI: 0.558-1.059) and second/third trimesters (SMD = 0.904, 95% CI: 0.570-1.239) were significantly higher than those in healthy pregnant women. Conclusion: The plasma afamin levels in pregnant women with GDM in the first trimester were significantly higher than those in healthy pregnant women, but the analysis showed the opposite results in the second and third trimesters. The plasma afamin levels in pregnant women with PE in the first, second, and third trimesters were significantly higher than those in healthy pregnant women. Additional large-scale prospective studies are desired to verify these findings, and it is recommended that afamin should be included as a routine diagnostic test for women with GDM and PE. Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=339171, identifier CRD42022339171.

Indexed as

Diabetes, GestationalPre-EclampsiaFemaleHumansPregnancyPregnancy Trimester, FirstPregnancy Trimester, ThirdProspective Studiesafaminfirst-trimestergestational diabetes mellitusmeta-analysismeta-regression analysispreeclampsia

Identifiers

PMID37033215
PMCPMC10073667
OpenAlexW4353083540

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.