Evidence map›Paper›PMID 39709516›Full record

ArticleNPJ primary care respiratory medicine2024

A practical guide to the diagnosis and management of suspected Non-tuberculous Mycobacterial Pulmonary Disease (NTM-PD) in the United Kingdom.

D J Dhasmana, P Whitaker, R van der Laan, F Frost

Erratum issuedAbstract read
In one paragraph

Article in NPJ primary care respiratory medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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  7. Pulmonary infection by non-tuberculous mycobacteria in an endemic region for tuberculosis in Northeast Brazil.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
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  11. Observational
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  17. Extrapulmonary Comparisons BetweenInfection and drug resistance · 2025
    Review
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

D J DhasmanaVictoria Hospital, Kirkcaldy, NHS Fife, Kirkcaldy, UK. djd5@st-andrews.ac.uk.ORCID http://orcid.org/0000-0002-6084-119X
P WhitakerBradford Teaching Hospitals, Bradford, UK.
R van der LaanInsmed Incorporated, Bridgewater, NJ, USA.
F FrostLiverpool Heart & Chest Hospital NHS Foundation Trust, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-tuberculous Mycobacterial Pulmonary Disease (NTM-PD) is a chronic disease characterised by progressive inflammatory lung damage due to infection by non-tuberculous mycobacteria (NTM). Global prevalence of NTM-PD is generally low but is rising, likely due to a combination of increased surveillance, increasing multimorbidity and improved diagnostic techniques. Most disease is caused by Mycobacterium avium complex species. NTM-PD can be challenging to both diagnose and manage but given the risk of untreated disease and the challenges around drug treatments, it is vital that all healthcare professionals involved in primary care consider NTM-PD at the earliest opportunity. In particular, NTM-PD should be considered where there are respiratory symptoms in the setting of pre-existing chronic lung disease such as chronic obstructive pulmonary disease (COPD) and bronchiectasis. Early suspicion should lead to appropriate primary screening measures. This article discusses the relevance of NTM-PD today, risk factors for developing disease, pathways from clinical presentation to referral to specialist care, and discusses management and drug treatments. A flow diagram of a screening process is presented as a guideline for best practice from a United Kingdom perspective.

Indexed as

Lung DiseasesMycobacterium Infections, NontuberculousHumansPractice Guidelines as TopicRisk FactorsUnited Kingdom

Identifiers

PMID39709516
PMCPMC11663218

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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.