Clinical characteristics, antimicrobial susceptibility patterns, and treatment outcomes of nontuberculous mycobacterial diseases in eastern China: a retrospective cohort study (2019-2022).

Huijie Wang, Haibo Hua, Yuanyuan Chen, Qiang Zhan, Huaqiong Huang

Abstract read

In one paragraph

Article in Microbiology spectrum, 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

5 authors.

Huijie Wang *Tuberculosis Department, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.

Haibo Hua *Tuberculosis Department, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.

Yuanyuan ChenTuberculosis Department, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.

Qiang ZhanTuberculosis Department, Zhejiang Hospital of Integrated Traditional Chinese and Western Medicine, Hangzhou, Zhejiang, China.ORCID 0009-0001-8848-0330

Huaqiong HuangKey Laboratory of Respiratory Disease of Zhejiang Province, Department of Respiratory and Critical Care Medicine, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.ORCID 0000-0001-9017-7835

Funding

Hangzhou Medical and Health Science and Technology Project ZD20240007Key Project of Zhejiang Provincial Natural Science Foundation LBZ24H190001

6 · The paper itself

Abstract

Nontuberculous mycobacteria (NTM) are opportunistic pathogens, and the global incidence of NTM diseases has been steadily increasing, posing significant public health challenges. This study retrospectively analyzed clinical data from 136 cases of NTM disease diagnosed at the Zhejiang Provincial Tuberculosis Diagnosis and Treatment Center between 2019 and 2022. It was observed that NTM diseases in this region predominantly affected middle-aged and elderly men, with chronic cough being the principal symptom (74.3%). Bronchiectasis (57.4%) and cavities (38.2%) were the main imaging characteristics. The results of species identification demonstrated that

Indexed as

Anti-Bacterial AgentsMycobacterium Infections, NontuberculousNontuberculous MycobacteriaAdultAgedAged, 80 and overAmikacinChinaFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedRetrospective StudiesTreatment OutcomeYoung AdultAmikacinAnti-Bacterial Agentsantimicrobial susceptibility testnontuberculous mycobacteriaNTM clinical characteristicsNTM species identification

Identifiers

PMID41363861

DOI10.1128/spectrum.01374-25

PMCPMC12772394

What OpenQuestion holds

Textmetadata

LicenceCC BY

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.