Evidence map›Paper›PMID 40105372›Full record

ArticleFuture microbiology2025

A family cluster of

Kun Li, Dawei Cheng, Zhifeng Xing, Yu Fan, Qingqing Xu, Xueying Chen, Meinan Li, Hongyan Zhao, Dongri Piao, Hai Jiang

Abstract readCase Reports
In one paragraph

Article in Future microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Article
  3. Tropical medicine and infectious disease · 2026
    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

10 authors.

Kun LiNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, Changping, China.
Dawei ChengDepartment of Infectious Diseases, The General Hospital of Beidahuang Group, Harbin, Heilongjiang, China.
Zhifeng XingInstitute of Endemic Disease and Vector Biology Control, Heilongjiang Center for Disease Control and Prevention, Harbin, Heilongjiang, China.
Yu FanNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, Changping, China.
Qingqing XuNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, Changping, China.
Xueying ChenDepartment of Infectious Diseases, The General Hospital of Beidahuang Group, Harbin, Heilongjiang, China.
Meinan LiDepartment of Infectious Diseases, The General Hospital of Beidahuang Group, Harbin, Heilongjiang, China.
Hongyan ZhaoNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, Changping, China.
Dongri PiaoNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, Changping, China.
Hai JiangNational Key Laboratory of Intelligent Tracing and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, Changping, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brucellosis is one of the most common zoonotic diseases worldwide. Although deer are reportedly infected by

Indexed as

Brucella abortusBrucellosisDeerZoonosesAnimalsChinaGenotypeHumansPhylogenyBrucella abortusbrucellosisChinafamily clustergenotypesika deer

Identifiers

PMID40105372
PMCPMC11980451

What OpenQuestion holds

Textmetadata
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.