Evidence map›Paper›PMID 42604148›Full record

ArticleInfection and drug resistance2026

Prevalence, Clonal Context, and Clinical Correlates of Arr in

Liu He, Ting Liu, Jie Xiang, Mingzhe Yan, Jun Wan, Xiaowei Peng, Yang Han, Congrui Xu

Abstract read
In one paragraph

Article in Infection and drug resistance, 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

8 authors.

Liu HeDepartment of Laboratory Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, People's Republic of China.
Ting LiuDepartment of Laboratory Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, People's Republic of China.
Jie XiangDepartment of Laboratory Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, People's Republic of China.
Mingzhe YanDepartment of Laboratory Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, People's Republic of China.
Jun WanCenter for Translational Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, People's Republic of China.
Xiaowei PengWuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, 430071, People's Republic of China.ORCID 0009-0003-8535-793X
Yang HanCenter for Translational Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, People's Republic of China.
Congrui XuCenter for Translational Medicine, Wuhan Jinyintan Hospital, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, 430023, People's Republic of China.ORCID 0009-0009-9225-4086

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Rifampicin (RFP) is central to the management of tuberculosis (TB) and nontuberculous mycobacterial (NTM) infections, and specialized infectious disease hospitals therefore use it routinely. Whether rifamycin resistance determinants are enriched among co-resident opportunistic pathogens in this setting has rarely been examined. We focused on the Methods: We retrospectively analyzed 165 patient-deduplicated clinical Results: Conclusion:

Indexed as

arr determinantbystander selectionclonal typingKlebsiella pneumoniaerifamycin resistance

Identifiers

PMID42604148
PMCPMC13476678

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.