Evidence map›Paper›PMID 41808961›Full record

ArticleCase reports in pulmonology2026

Rare and Elusive: The Challenges of Bronchoscopically Diagnosing Pulmonary Mucosa-Associated Lymphoid Tissue Lymphoma.

Hamad Nasim, Robert Willim, Jason Beattie, Adnan Majid, Mihir Parikh, Kai Swenson

Abstract read
In one paragraph

Article in Case reports in pulmonology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Hamad NasimDepartment of Surgery, Division of Thoracic Surgery and Interventional Pulmonology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA, harvard.edu.ORCID https://orcid.org/0009-0003-3029-5516
Robert WillimDepartment of Pathology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA, harvard.edu.
Jason BeattieDepartment of Surgery, Division of Thoracic Surgery and Interventional Pulmonology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA, harvard.edu.ORCID https://orcid.org/0000-0002-8225-2425
Adnan MajidDepartment of Surgery, Division of Thoracic Surgery and Interventional Pulmonology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA, harvard.edu.
Mihir ParikhDepartment of Surgery, Division of Thoracic Surgery and Interventional Pulmonology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA, harvard.edu.
Kai SwensonDepartment of Surgery, Division of Thoracic Surgery and Interventional Pulmonology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA, harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary pulmonary lymphomas (PPLs) are rare clinical entities representing 0.5%-1% of all pulmonary neoplasms, of which mucosa-associated lymphoid tissue (MALT) lymphoma is the most common type (80%). PPLs are traditionally considered challenging to diagnose bronchoscopically given the rarity of these entities, small sample sizes, and the ancillary testing often required to adequately differentiate them from benign intraparenchymal lymph nodes. Here, we report three cases of pulmonary MALT lymphomas. In two cases, the patients presented with pulmonary nodules and were diagnosed by robotic-assisted bronchoscopy following prior nondiagnostic biopsy attempts. The third patient presented with distal tracheal thickening, where flexible bronchoscopy revealed a particularly rare case of MALT lymphoma with endobronchial involvement.

Identifiers

PMID41808961
PMCPMC12968321

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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.