Evidence map›Paper›PMID 40173204›Full record

SynthesisPLoS neglected tropical diseases2025

Clinical presentation of Oropouche virus infection: A systematic review and meta-analysis.

Zhilin Wang, Linzhu Huang, Xinyu Zhang, Xinyue Zhang, Liwei Huang, Xiaoying Zhu, Xidai Long, Demin Cao, Yulei Li

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Observational
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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

9 authors.

Zhilin WangYoujiang Medical University for Nationalities, Baise, China.
Linzhu HuangYoujiang Medical University for Nationalities, Baise, China.
Xinyu ZhangYoujiang Medical University for Nationalities, Baise, China.
Xinyue ZhangYoujiang Medical University for Nationalities, Baise, China.
Liwei HuangYoujiang Medical University for Nationalities, Baise, China.
Xiaoying ZhuYoujiang Medical University for Nationalities, Baise, China.
Xidai LongYoujiang Medical University for Nationalities, Baise, China.
Demin CaoYoujiang Medical University for Nationalities, Baise, China.
Yulei LiYoujiang Medical University for Nationalities, Baise, China.ORCID 0000-0001-6918-2779

Funding

Guangxi Natural Science Foundation
6 · The paper itself

Abstract

backgroundThe recent surge in incidence and geographic spread of OROV infections poses an escalating threat to global public health. However, studies exploring the clinical signs of OROV infection remains exceedingly limited.

methodsWe searched for OROV studies published until June 17, 2024, in several electronic databases including MEDLINE, EMBASE, SCOPUS, and the Cochrane Library.

resultsIn total, 15 studies involving 806 patients with OROV infection were eligible for inclusion. General symptoms with fever and headache were the most common. Gastrointestinal disturbances like nausea/vomiting, anorexia, and odynophagia were also prevalent, along with ocular symptoms, mainly retro-orbital pain, photophobia, and redness. Respiratory symptoms, such as cough, sore throat and nasal congestion, are present, and skin-related issues like rash, pruritus, and pallor were also identified.

conclusionOverall, this study provides a foundational understanding of OROV's clinical manifestations to guide diagnosis, management, and public health interventions against this neglected tropical disease.

Indexed as

Bunyaviridae InfectionsOrthobunyavirusHumans

Identifiers

PMID40173204
PMCPMC11981143

What OpenQuestion holds

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Registered trials

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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.