Evidence map›Paper›PMID 39871728›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2025

Population-Based Analysis of the Risk of Mycobacterial Infections Associated With Immune Checkpoint Inhibitors.

Marie Yan, Alejandro Hernandez, Kelvin K Chan, Matthew B Stanbrook, Phillip S Blanchette, James C Johnston, Samantha M Lee, Liane Macdonald, Melissa Richard-Greenblatt, Theodore K Marras and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2025. 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.

Marie YanDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Alejandro HernandezICES, Toronto, Ontario, Canada.
Kelvin K ChanICES, Toronto, Ontario, Canada.ORCID 0000-0002-2501-3057
Matthew B StanbrookDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-8873-1497
Phillip S BlanchetteDivision of Medical Oncology, London Health Sciences Centre, London, Ontario, Canada.
James C JohnstonDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.
Samantha M LeeICES, Toronto, Ontario, Canada.ORCID 0000-0003-1162-8744
Liane MacdonaldPublic Health Ontario, Toronto, Ontario, Canada.
Melissa Richard-GreenblattPublic Health Ontario, Toronto, Ontario, Canada.
Theodore K MarrasDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-6986-3651
Sarah K BrodeDepartment of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-3855-6368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this population-based study, we examined the risk of nontuberculous mycobacterial disease associated with immune checkpoint inhibitors among people with cancer. Using a nested case-control design, we identified 184 cases and 714 matched controls; there was no significant association on conditional logistic regression (adjusted odds ratio, 0.51 [95% confidence interval, .17-1.50]; P = .22).

Indexed as

Immune Checkpoint InhibitorsMycobacterium Infections, NontuberculousNeoplasmsAdultAgedAged, 80 and overCase-Control StudiesFemaleHumansMaleMiddle AgedRisk FactorsImmune Checkpoint Inhibitorscancerimmune checkpoint inhibitorsnontuberculous mycobacterial diseasepopulation studytuberculosis

Identifiers

PMID39871728
PMCPMC12314488

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.