Evidence map›Paper›PMID 38654206›Full record

SynthesisBMC public health2024

Effect of arsenic on the risk of gestational diabetes mellitus: a systematic review and meta-analysis.

Rui Wu, Min Duan, Dongsheng Zong, Zuojing Li

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Rui WuSchool of Life Sciences and Biopharmaceuticals, Shenyang Pharmaceutical University, Shenyang, China.
Min DuanSchool of Life Sciences and Biopharmaceuticals, Shenyang Pharmaceutical University, Shenyang, China.
Dongsheng ZongSchool of Medical Devices, Shenyang Pharmaceutical University, Shenyang, China. 15040274832@163.com.
Zuojing LiSchool of Medical Devices, Shenyang Pharmaceutical University, Shenyang, China. zuojing1006@hotmail.com.
Shenyang Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGestational diabetes mellitus (GDM) is a complication of pregnancy associated with numerous adverse outcomes. There may be a potential link between GDM and arsenic (As) exposure, but this hypothesis remains controversial. This meta-analysis summarizes the latest studies evaluating the association between As and GDM.

methodsA comprehensive search of the PubMed, Embase, and Scopus databases up to September 2023 was performed. The pooled estimates with 95% CIs were presented using forest plots. Estimates were calculated with random effects models, and subgroup and sensitivity analyses were conducted to address heterogeneity.

resultsA total of 13 eligible studies involving 2575 patients with GDM were included in this meta-analysis. The results showed that women exposed to As had a significantly increased risk of GDM (OR 1.47, 95% CI: 1.11 to 1.95, P = 0.007). Subgroup analyses suggested that the heterogeneity might be attributed to the years of publication. In addition, sensitivity analysis confirmed the robust and reliable results.

conclusionsThis analysis suggested that women exposed to As have a greater risk of GDM. However, the significant heterogeneity across studies requires careful interpretation. REGISTRATION: The PROSPERO registration ID is CRD42023461820.

Indexed as

ArsenicDiabetes, GestationalFemaleHumansPregnancyRisk FactorsArsenicArsenicGDMGestational diabetesMeta-analysisPregnancy

Identifiers

PMID38654206
PMCPMC11041030
OpenAlexW4395038497

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.