Evidence map›Paper›PMID 41473768›Full record

SynthesisFrontiers in cellular and infection microbiology2025

Meta-analysis of the prevalence of

Tong Ye, Guang-Rong Bao, Ya Qin, Quan Zhao, Bei-Ni Chen, He Ma

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2025. 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

6 authors.

Tong Ye *College of Life Science, Changchun Sci-Tech University, Shuangyang, Jilin, China.
Guang-Rong Bao *College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong, China.
Ya QinCollege of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin, China.
Quan ZhaoCollege of Veterinary Medicine, Jilin Agricultural University, Changchun, Jilin, China.
Bei-Ni ChenCollege of Life Science, Changchun Sci-Tech University, Shuangyang, Jilin, China.
He MaCollege of Veterinary Medicine, Qingdao Agricultural University, Qingdao, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: A systematic review and meta-analysis was performed in accordance with PRISMA guidelines. Six databases (PubMed, Web of Science, ScienceDirect, CNKI, VIP, Wanfang) were searched up to April 2025. Eligible studies reported mosquito infection rates with defined sample size, location, and diagnostic method. Study quality was appraised using the Joanna Briggs Institute checklist for prevalence studies. Statistical synthesis was conducted in R (v4.1.2) using random-effects models. Subgroup analyses and meta-regression explored heterogeneity by region, mosquito genus, and detection method. Results: Eighteen studies covering 160,423 mosquitoes from 10 countries were included. The pooled infection prevalence was 0.7% (95% CI [0.3-1.7]). Rates were highest in Asia (3.0%, 95% CI [0.0-10.7]), in Conclusions: Filarial infections in mosquitoes remain widespread, with clear regional and methodological variability. Strengthened mosquito-based xenomonitoring, particularly using molecular diagnostic approaches, will be essential to accelerate progress toward global lymphatic filariasis elimination by 2030.

Indexed as

CulicidaeElephantiasis, FilarialMosquito VectorsAnimalsBrugiaBrugia malayiHumansPrevalenceWuchereria bancroftiglobal prevalencelymphatic filariasismeta-analysismolecular diagnosticsmosquito vectorssystematic reviewvector-borne diseases

Identifiers

PMID41473768
PMCPMC12745449

What OpenQuestion holds

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LicenceCC BY
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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.