Evidence map›Paper›PMID 40027203›Full record

ArticleRespirology case reports2025

Non-Invasive Prevention of Malignant Airway Obstruction in an Elderly Lung Cancer Patient Using Early Chemo Combination With Pembrolizumab Therapy: A Case Study.

Akina Nigi, Keisuke Iwamoto, Tadashi Yabana, Hiroyuki Tanaka, Hirokazu Toyoshima

Abstract read
In one paragraph

Article in Respirology case reports, 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

5 authors.

Akina NigiDepartment of Respiratory Medicine Japanese Red Cross Ise Hospital Ise Mie Japan.ORCID https://orcid.org/0000-0001-9167-5836
Keisuke IwamotoDepartment of Respiratory Medicine Japanese Red Cross Ise Hospital Ise Mie Japan.
Tadashi YabanaDepartment of Pathology Japanese Red Cross Ise Hospital Ise Mie Japan.
Hiroyuki TanakaDepartment of Infectious Diseases Japanese Red Cross Ise Hospital Ise Mie Japan.
Hirokazu ToyoshimaDepartment of Infectious Diseases Japanese Red Cross Ise Hospital Ise Mie Japan.ORCID https://orcid.org/0000-0003-3867-066X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Airway obstruction caused by lung cancer is a critical condition requiring prompt intervention. General treatments, like bronchoscopic procedures, radiation therapy, or stent placement, often involve significant risks like bleeding, fistula formation, or limited survival benefits. Chemotherapy is rarely the primary option for airway obstruction but can provide systemic benefits. This report presents a first documented case of a 79-year-old male with non-small cell lung cancer and airway obstruction, successfully treated using chemotherapy combined with pembrolizumab, an immune checkpoint inhibitor (ICI). Despite declining invasive interventions, the treatment significantly reduced the tumour size, alleviating respiratory symptoms without complications. This approach improved the patient's quality of life (QOL) and highlighted the potential of ICIs in conjunction with chemotherapy as an effective, non-invasive treatment strategy for airway obstruction. Based on a search of the PubMed database, this case is the first to document the successful use of ICIs combined with chemotherapy for treating lung cancer-induced airway obstruction. This case underscores the need for further research into integrating ICIs and chemotherapy into treatment plans, particularly for elderly patients, to optimise outcomes while preserving QOL.

Indexed as

airway obstrctuionelderly patientimmune checkpoint inhibitorslung cancerpembrolizumab

Identifiers

PMID40027203
PMCPMC11870755

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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.