Evidence map›Paper›PMID 41846673›Full record

ArticleERJ open research2026

Nontuberculous mycobacterial pulmonary disease: a nationwide cost analysis of healthcare costs, foregone earnings and public benefits in a universal healthcare setting.

Victor Naestholt Dahl, Andreas Arnholdt Pedersen, Michael Høffding Ibsen, Ole Hilberg, Anders Løkke, Andreas Fløe

Abstract read
In one paragraph

Article in ERJ open research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Victor Naestholt DahlDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.ORCID https://orcid.org/0000-0003-2965-6348
Andreas Arnholdt PedersenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark.ORCID https://orcid.org/0000-0003-0751-6918
Michael Høffding Ibseni2minds, Aarhus, Denmark.
Ole HilbergMycobacterial Center for Research Southern Denmark (MyCRESD), Odense, Denmark.ORCID https://orcid.org/0000-0002-3075-3463
Anders LøkkeDepartment of Medicine, Lillebaelt Hospital, Vejle, Denmark.
Andreas FløeDepartment of Respiratory Diseases and Allergy, Aarhus University Hospital, Aarhus, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nontuberculous mycobacterial pulmonary disease (NTM-PD) is associated with a significant economic burden due to complex diagnostics, prolonged multidrug treatments and hospitalisations. However, cost data are limited, particularly from countries with universal healthcare. We evaluated the economic burden of NTM-PD in Denmark. Methods: We conducted a nationwide cost analysis of all adults diagnosed with NTM-PD between 2005 and 2017, identified through International Classification of Diseases, 10th Revision codes. Each case was matched 1:4 to comparators by age, sex, marital/cohabitation status and municipality of residence. We assessed direct healthcare costs (primary and secondary care, and medications) and indirect costs (foregone earnings and public benefits for those aged 18-64 years) 3 years before and after the diagnosis. Annual costs were estimated using a generalised linear model with a gamma distribution and log link. Results: We included 545 NTM-PD patients and 2150 comparators. Patients had lower education levels and employment rates. Direct healthcare costs peaked in the diagnosis year at EUR 24 454 (95% CI 22 378-26 723) for patients Conclusion: NTM-PD is associated with a substantial economic burden in Denmark, with nearly 5-fold higher direct healthcare costs, reduced income, increased public benefit payments and with net costs exceeding EUR 29 000 in the diagnosis year.

Identifiers

PMID41846673
PMCPMC12991027

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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.