Evidence map›Paper›PMID 41757961›Full record

ArticleMicrobiology spectrum2026

Targeted next-generation sequencing for comprehensive diagnosis and drug resistance detection in pulmonary and extrapulmonary tuberculosis: a single-center retrospective study.

Jingyi Dai, Qiujing Li, Juan Wan, Fengshuo Sun, Gang Zhou, Meiqiu Yang, Chuanshu Dong, Yao Fang, Lifeng Li, Lin Wang and 1 more

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

11 authors.

Jingyi Dai *Department of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, People's Republic of China.ORCID 0000-0002-9210-8902
Qiujing Li *Department of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, People's Republic of China.ORCID 0009-0005-6817-9240
Juan WanDepartment of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Fengshuo SunGenskey Medical Technology Co., Ltd, Beijing, People's Republic of China.ORCID 0009-0005-7666-7113
Gang ZhouGenskey Medical Technology Co., Ltd, Beijing, People's Republic of China.
Meiqiu YangDepartment of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Chuanshu DongDepartment of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Yao FangDepartment of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, People's Republic of China.
Lifeng LiGenskey Medical Technology Co., Ltd, Beijing, People's Republic of China.
Lin WangDepartment of Medical Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, People's Republic of China.ORCID 0000-0001-8008-6104
Guiming LiuDepartment of Public Laboratory, The Third People's Hospital of Kunming City/Infectious Disease Clinical Medical Center of Yunnan Province, Kunming, Yunnan, People's Republic of China.ORCID 0009-0008-7433-7075

Funding

Clinical Medical Center Scientific Research Project of Yunnan Province 2024YNLCYXZX0205Kunming Science and Technology Bureau 2023-1-NS-007State Key Laboratory of Pathogen and Biosecurity open research project SKLPBS2445Yunnan Province Major Science and Technology Special Plan 202402AA310011
6 · The paper itself

Abstract

Tuberculosis (TB), including drug-resistant forms, is a significant global health issue requiring accurate and rapid diagnostic tools. Traditional diagnostic methods suffer from low sensitivity and slow results, while nucleic acid amplification tests (NAATs) like Xpert MTB/RIF provide faster but incomplete solutions. Targeted next-generation sequencing (tNGS) has the potential to simultaneously detect

Indexed as

High-Throughput Nucleotide SequencingMycobacterium tuberculosisTuberculosis, Multidrug-ResistantTuberculosis, PulmonaryAdultAgedAntitubercular AgentsBronchoalveolar Lavage FluidDrug Resistance, BacterialFemaleHumansMaleMiddle AgedMolecular Diagnostic TechniquesMutationRetrospective StudiesAntitubercular AgentsRifampindiagnostic performancedrug resistancepulmonary and extrapulmonary samplestargeted next-generation sequencingtuberculosis

Identifiers

PMID41757961
PMCPMC13055381

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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.