Evidence map›Paper›PMID 38962772›Full record

ReviewFrontiers in public health2024

Applications and advances in molecular diagnostics: revolutionizing non-tuberculous mycobacteria species and subspecies identification.

Haiyang Zhang, Maoting Tang, Deyuan Li, Min Xu, Yusen Ao, Liangkang Lin

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
–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

30 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Review
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  5. Detection ofMicroorganisms · 2026
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  8. Understanding recurrence inJournal of clinical microbiology · 2026
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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

6 authors.

Haiyang ZhangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Maoting TangDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Deyuan LiDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Min XuDepartment of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, China.
Yusen AoDepartment of Pediatrics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
Liangkang LinDepartment of Pediatrics, The Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-tuberculous mycobacteria (NTM) infections pose a significant public health challenge worldwide, affecting individuals across a wide spectrum of immune statuses. Recent epidemiological studies indicate rising incidence rates in both immunocompromised and immunocompetent populations, underscoring the need for enhanced diagnostic and therapeutic approaches. NTM infections often present with symptoms similar to those of tuberculosis, yet with less specificity, increasing the risk of misdiagnosis and potentially adverse outcomes for patients. Consequently, rapid and accurate identification of the pathogen is crucial for precise diagnosis and treatment. Traditional detection methods, notably microbiological culture, are hampered by lengthy incubation periods and a limited capacity to differentiate closely related NTM subtypes, thereby delaying diagnosis and the initiation of targeted therapies. Emerging diagnostic technologies offer new possibilities for the swift detection and accurate identification of NTM infections, playing a critical role in early diagnosis and providing more accurate and comprehensive information. This review delineates the current molecular methodologies for NTM species and subspecies identification. We critically assess the limitations and challenges inherent in these technologies for diagnosing NTM and explore potential future directions for their advancement. It aims to provide valuable insights into advancing the application of molecular diagnostic techniques in NTM infection identification.

Indexed as

Mycobacterium Infections, NontuberculousNontuberculous MycobacteriaHumansMolecular Diagnostic Techniquesdrug resistance genemolecular diagnosticsnext-generation sequencingnon-tuberculous mycobacteriumwhole genome sequencing

Identifiers

PMID38962772
PMCPMC11220129

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.