Evidence map›Paper›PMID 42389508›Full record

ArticleFrontiers in cellular and infection microbiology2026

Prevalence and detection of

Tianlong Zhang, Jing Li, Yan Hai, Zhen Wang, Mingmei Wang, Yingdi Wang, Ying Zhang, AiPing Qin, Jie Liu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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.

Tianlong Zhang *School of Public Health, Qingdao University, Qingdao, China.
Jing Li *School of Public Health, Qingdao University, Qingdao, China.
Yan HaiGeneral Center for Disease Control and Prevention of Inner Mongolia Autonomous Region, Hohhot, Inner Mongolia Autonomous Region, China.
Zhen WangSchool of Public Health, Qingdao University, Qingdao, China.
Mingmei WangSchool of Public Health, Qingdao University, Qingdao, China.
Yingdi WangSchool of Public Health, Qingdao University, Qingdao, China.
Ying ZhangCenter for Disease Control and Prevention of Xilingol League, Xilinhaote, Inner Mongolia Autonomous Region, China.
AiPing QinNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jie LiuSchool of Public Health, Qingdao University, Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Brucellosis is a highly endemic zoonosis in Inner Mongolia, yet its contribution to undifferentiated febrile illnesses often remains underestimated due to non-specific clinical presentations and diagnostic limitations. This study aimed to determine the prevalence and diagnostic gaps of Methods: A cross-sectional surveillance study was conducted in 2021. A total of 335 febrile patients were enrolled, with 266 meeting the criteria for FUO. Venous blood samples were collected and tested using quantitative real-time PCR (qPCR) followed by digital PCR (dPCR) for absolute quantification of bacterial loads. A subset of serum samples was tested with ELISA for total antibody. Results: Of the 335 febrile patients, 228 (68.0%) were farmers or herders and 247 (73.7%) had livestock contact. Conclusion: This surveillance confirms that

Indexed as

BrucellaBrucellosisFever of Unknown OriginAdolescentAdultAgedAnimalsAntibodies, BacterialBacterial LoadChildChinaCross-Sectional StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansMaleAntibodies, BacterialBrucellaELISA - enzyme-linked immunosorbent assayfever of unknown originpathogen loadquantitative polymerase chain reactionzoonosis

Identifiers

PMID42389508
PMCPMC13318869

What Socratic 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 Socratic graph.