Evidence map›Paper›PMID 41957001›Full record

ReviewNature communications2026

Rocahepevirus ratti: molecular evolution, zoonotic potential and public health impact.

Antonio Rivero-Juarez, Reimar Johne, Siddharth Sridhar

Abstract readReview
In one paragraph

Review in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

3 authors.

Antonio Rivero-JuarezClinical Virology and Zoonoses Research Group, Unit of Infectious Diseases, Hospital Universitario Reina Sofía, Instituto Maimonides de Investigacion Biomedica de Cordoba (IMIBIC), Universidad de Cordoba (UCO), Cordoba, Spain. arjvet@gmail.com.ORCID http://orcid.org/0000-0002-5813-6889
Reimar JohneDepartment of Biological Safety, German Federal Institute for Risk Assessment, Berlin, Germany.ORCID http://orcid.org/0000-0001-9597-6724
Siddharth SridharDepartment of Microbiology, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China.ORCID http://orcid.org/0000-0002-2022-8307

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rocahepevirus ratti (ratHEV) is now recognised as an emerging zoonotic cause of hepatitis E, entrenched in urban rodent populations and already implicated in more than 50 confirmed human cases across Asia and Europe. Spillover occurs even in the absence of reported rodent contact, pointing to indirect environmental routes that remain poorly defined. Most infections are self-limiting, but acute hepatitis can be severe or fatal, and in immunocompromised patients ratHEV can persist and progress to chronic hepatitis. The absence of specific serological assays and the suboptimal performance of current molecular protocols, compounded by the high genetic diversity of the virus, limit the sensitivity of case detection. These challenges, together with limited awareness among health professionals, mean that the true magnitude of ratHEV globally remains unknown. This Review synthesises current knowledge on ratHEV ecology, host range, molecular virology and clinical impact, and outlines priorities for improving diagnostics, surveillance and prevention strategies.

Indexed as

Evolution, MolecularHepatitis EViral ZoonosesZoonosesAnimalsAsiaHumansPhylogenyPublic HealthRatsRodentia

Identifiers

PMID41957001
PMCPMC13223312

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.