Evidence map›Paper›PMID 42741007›Full record

ArticleFrontiers in veterinary science2026

Molecular detection and phylogeny of

Xiaoshuang Han, Shujie Wang, Ziheng Liu, Xiaoping Yin, Weimin Xiahou, Quan Liu, Feng Tian, Yuanzhi Wang, Xiaobo Lu

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2026. 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

9 authors.

Xiaoshuang Han *Infectious Disease and Liver Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Shujie Wang *Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security of the XPCC, School of Medicine, Shihezi University, Shihezi, Xinjiang, China.
Ziheng Liu *Key Laboratory for Prevention and Control of Emerging Infectious Diseases and Public Health Security of the XPCC, School of Medicine, Shihezi University, Shihezi, Xinjiang, China.
Xiaoping YinXinjiang International Travel Healthcare Center (Urumqi Customs Port Outpatient Department), Urmqi, Xinjiang, China.
Weimin XiahouShaoguan Customs Comprehensive Technology Service Center, Shaoguan, Guangdong, China.
Quan LiuDepartment of Infectious Diseases and Center for Infectious Diseases and Pathogen Biology, Key Laboratory of Organ Regeneration and Transplantation of the Ministry of Education, State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, The First Hospital of Jilin University, Changchun, Jilin, China.
Feng TianXinjiang International Travel Healthcare Center (Urumqi Customs Port Outpatient Department), Urmqi, Xinjiang, China.
Yuanzhi WangInfectious Disease and Liver Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.
Xiaobo LuInfectious Disease and Liver Disease Center, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, Xinjiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: During 2018-2025, 3,344 liver or blood specimens were collected from 3,037 mammals and 307 reptiles across XUAR (covering 1.66 million km Results: A total of 35 animal species were examined (25 mammals and 10 reptiles). The Conclusion: This study provides the first reports of

Indexed as

diversityHepatozoonmolecular detectionnorthwestern Chinawildlife

Identifiers

PMID42741007
PMCPMC13572295

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.