Evidence map›Paper›PMID 39963166›Full record

ArticleERJ open research2025

Laboratory-based surveillance of nontuberculous mycobacterial pulmonary disease in Japan.

Yuko Hamaguchi, Kozo Morimoto, Satoshi Mitarai

Abstract read
In one paragraph

Article in ERJ open research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Macrolide-resistantJournal of clinical tuberculosis and other mycobacterial diseases · 2026
    Review
  2. Efficacy and safety of an intravenous amikacin-containing regimen as initial therapy inJournal of clinical tuberculosis and other mycobacterial diseases · 2026
    Article
  3. Current Perspectives onInternational journal of molecular sciences · 2026
    Review
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  11. Observational
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  13. Article
  14. Serodiagnosis ofIJTLD open · 2024
    Article
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

3 authors.

Yuko HamaguchiDepartment of Clinical Research and Epidemiology, the Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID https://orcid.org/0000-0003-1990-669X
Kozo MorimotoRespiratory Disease Center, Fukujuji Hospital, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8239-9275
Satoshi MitaraiDepartment of Mycobacterium Reference and Research, the Research Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.ORCID https://orcid.org/0000-0002-2288-077X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intractable pulmonary diseases with nontuberculous mycobacteria (NTM-PDs) and antimicrobial resistance have become increasingly concerning worldwide. Nevertheless, a surveillance system for NTM has not been established in most countries, thus requiring repeated, intermittent and time-consuming cross-sectional nationwide surveys. Methods: To establish a nationwide surveillance system for NTM-associated diseases, we aimed to develop a prototype computer system primarily designed to continuously estimate NTM-PD incidence using a bacteriological case-defining algorithm through an automatic process of integrating bacteriological data collected from microbiology laboratories across Japan. To validate the accuracy of our study results, we compared the distribution of pulmonary tuberculosis cases between our laboratory data and the national surveillance data, which is representative of the Japanese population. Results: Our estimates implied a 17.7% increase in NTM-PD incidence from 15.8 (14.9-16.8) in 2013 to 19.2 (18.2-20.4) in 2017, per 100 000 population. Moreover, 93.0% of the identified NTM-PD cases were dominated by the Conclusion: These findings, despite being laboratory-based, are extrapolatable to the general population in Japan and provide evidence that supports our system as a viable alternative to the nationwide NTM surveillance system.

Identifiers

PMID39963166
PMCPMC11831631

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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.