Evidence map›Paper›PMID 40248733›Full record

ArticleTranslational lung cancer research2025

Analysis of baseline interstitial lung abnormality on the risk of checkpoint inhibitor-related pneumonitis and survival in advanced non-small cell lung cancer patients treated with first-line PD-1/PD-L1 inhibitors.

Yu Li, Shuo Liang, Yanjun Du, Jun Yao, Yuxin Jiang, Wanjun Lu, Qiuxia Wu, Fumihiro Yamaguchi, Marko Jakopović, Wolfgang M Brueckl and 5 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

15 authors.

Yu LiDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Shuo LiangDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Yanjun DuDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Jun YaoDepartment of Respiratory and Critical Care Medicine, The People's Hospital of Dongtai, Yancheng, China.
Yuxin JiangDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, School of Medicine, Southeast University, Nanjing, China.
Wanjun LuDepartment of Respiratory and Critical Care Medicine, Affiliated Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
Qiuxia WuDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing University of Chinese Medicine, Nanjing, China.
Fumihiro YamaguchiDepartment of Respiratory Medicine, Showa University Fujigaoka Hospital, Yokohama, Japan.
Marko JakopovićDepartment for Respiratory Diseases Jordanovac, University Hospital Centre Zagreb, Zagreb, Croatia.
Wolfgang M BruecklDepartment of Respiratory Medicine, Allergology and Sleep Medicine, Paracelsus Medical University, General Hospital Nuernberg, Nuremberg, Germany.
Dong WangDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Fang ZhangDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Qin WangDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Tangfeng LvDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.
Ping ZhanDepartment of Respiratory and Critical Care Medicine, Jinling Hospital, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chest computed tomography (CT) can be used to identify interstitial lung abnormality (ILA), which is known to lead to an increased risk of post-operative complications, and is related to a worse prognosis in early-stage lung cancer. However, research on the role of ILA in advanced non-small cell lung cancer (NSCLC) patients receiving immunotherapy is limited. This study sought to investigate the effect of pre-existing ILA and pulmonary function test (PFT) results on the occurrence of checkpoint inhibitor-related pneumonitis (CIP) and survival in advanced NSCLC patients after programmed cell death protein-1 (PD-1) or programmed cell death-ligand 1 (PD-L1) inhibitor therapy. Methods: We retrospectively divided the patients with advanced NSCLC into two groups: the with ILA group, and the without ILA group. We also divided the patients into two groups based on whether they developed CIP during treatment. After first-line immunotherapy, we followed up with all patients and recorded their progression-free survival (PFS) and overall survival (OS). Two respiratory specialists recorded the cases of CIP and the existence of ILA on chest CT, and assessed the consistency of ILA. A logistic regression analysis was performed to explore the independent risk factors for CIP, and a Cox regression analysis was performed to investigate the factors influencing PFS and OS. Results: Of the 269 patients with advanced NSCLC enrolled in the study, 93 (34.57%) had ILA, and 176 (65.43%) did not have ILA. Additionally, 39 (14.50%) of the patients developed CIP. The univariate analysis showed that pre-existing ILA [odds ratio (OR): 3.733; 95% confidence interval (CI): 1.846-7.549; P<0.001], body mass index (BMI) (≥24.12 kg/m Conclusions: Pre-existing ILA is an independent risk factor that is strongly associated with CIP, and significantly correlated with worse PFS and OS in advanced NSCLC patients after first-line immunotherapy.

Indexed as

checkpoint inhibitor-related pneumonitis (CIP)Interstitial lung abnormality (ILA)non-small cell lung cancer (NSCLC)programmed cell death protein-1/programmed cell death-ligand 1 inhibitors (PD-1/PD-L1 inhibitors)survival

Identifiers

PMID40248733
PMCPMC12000954

What OpenQuestion 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 OpenQuestion graph.