Evidence map›Paper›PMID 39143553›Full record

SynthesisBMC pulmonary medicine2024

The impact of chronic obstructive pulmonary disease on the risk of immune-related pneumonitis in lung cancer patients undergoing immunotherapy: a systematic review and meta-analysis.

Fangyuan Li, Lei Zheng, Xiaoxia Xu, Jianjiang Jin, Xingxing Li, Li Zhou

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Epidemiological Characteristics of Dengue Infection in Bangladesh: A Systematic Review.International journal of environmental research and public health · 2026
    Pooled it
  2. Article
  3. Article
  4. Review
  5. COPD-Lung Cancer Comorbidity: Mechanistic Insights and Precision Oncology Implications.International journal of chronic obstructive pulmonary disease · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. COPD and Immune Checkpoint Inhibitors for Cancer: A Literature Review.International journal of chronic obstructive pulmonary disease · 2024
    Review
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.

Fangyuan LiDepartment of Medical Oncology, The First People's Hospital of Linping District, No. 369, Yingbin Road, Nanyuan Street, Linping District, Hangzhou, 31110, Zhejiang Province, China.
Lei ZhengDepartment of Medical Oncology, The First People's Hospital of Linping District, No. 369, Yingbin Road, Nanyuan Street, Linping District, Hangzhou, 31110, Zhejiang Province, China.
Xiaoxia XuDepartment of Medical Oncology, The First People's Hospital of Linping District, No. 369, Yingbin Road, Nanyuan Street, Linping District, Hangzhou, 31110, Zhejiang Province, China.
Jianjiang JinDepartment of Medical Oncology, The First People's Hospital of Linping District, No. 369, Yingbin Road, Nanyuan Street, Linping District, Hangzhou, 31110, Zhejiang Province, China.
Xingxing LiDepartment of Medical Oncology, The First People's Hospital of Linping District, No. 369, Yingbin Road, Nanyuan Street, Linping District, Hangzhou, 31110, Zhejiang Province, China.
Li ZhouDepartment of Medical Oncology, The First People's Hospital of Linping District, No. 369, Yingbin Road, Nanyuan Street, Linping District, Hangzhou, 31110, Zhejiang Province, China. zhouli07261@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer, a leading cause of cancer mortality, poses significant treatment challenges. The use of immune checkpoint inhibitors (ICIs) has revolutionized therapy, but it is associated with immune-related pneumonitis (IRP). This study systematically reviews and analyzes the impact of Chronic Obstructive Pulmonary Disease (COPD) on the risk of IRP in lung cancer patients undergoing immunotherapy.

methodsAdhering to PRISMA guidelines and using the PICO framework, a comprehensive search across PubMed, Embase, Web of Science, and the Cochrane Library was conducted. Inclusion criteria encompassed peer-reviewed studies involving lung cancer patients treated with ICIs, comparing those with and without COPD. The primary outcome was the incidence and risk of IRP. The Newcastle-Ottawa Scale evaluated study quality. The effect size was calculated using random or fixed-effects models based on the observed heterogeneity. We assessed the heterogeneity between studies and conducted a sensitivity analysis.

resultsThe search identified 1026 articles, with six meeting the criteria for inclusion. Studies varied in design and geography, predominantly retrospective cohort studies. Patients with COPD had an increased risk of IRP (OR = 1.54, 95% CI [1.24, 1.92, P < 0.01). Subgroup analysis based on radiation therapy exposure (< 40% and ≥ 40%) also indicated a heightened IRP risk in COPD patients. Sensitivity analysis affirmed the robustness of the results, and publication bias was not significant.

conclusionsLung cancer patients with COPD undergoing immunotherapy have a significantly increased risk of developing IRP. This highlights the necessity for vigilant monitoring and individualized treatment strategies to improve the safety and effectiveness of immunotherapy in this group.

Indexed as

Immune Checkpoint InhibitorsImmunotherapyLung NeoplasmsPneumoniaPulmonary Disease, Chronic ObstructiveHumansRisk FactorsImmune Checkpoint InhibitorsChronic obstructive pulmonary diseaseImmune-related pneumonitisImmunotherapyLung cancerMeta-analysis

Identifiers

PMID39143553
PMCPMC11323643

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.