Evidence map›Paper›PMID 38783253›Full record

ArticleBMC pulmonary medicine2024

Risk factors of immune checkpoint inhibitor-related pneumonitis after neoadjuvant immunochemotherapy for resectable NSCLC.

Zhirong Mao, Guanchao Pang, Xiaojie Huang, Xiuxiu Chen, Jiaji Wu, Xia Xu, Zhihua Teng, Yanbin Tan, Pingli Wang

Abstract read
In one paragraph

Article 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Drug-Induced Interstitial Lung Disease in Lung Cancer Patients.Respiration; international review of thoracic diseases · 2026
    Review
  6. Article
  7. Article
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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

9 authors.

Zhirong Mao *Department of Respiratory Medicine, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Guanchao Pang *Department of Respiratory Medicine, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Xiaojie Huang *Department of Respiratory Medicine, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Xiuxiu ChenDepartment of Respiratory Medicine, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Jiaji WuDepartment of Respiratory and Critical Care Medicine, The Fourth Affiliated Hospital, International Institutes of Medicine, Zhejiang University School of Medicine, Yiwu, 322000, Zhejiang, China.
Xia XuDepartment of Pathology, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Zhihua TengDepartment of Thoracic Surgery, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Yanbin TanDepartment of Radiology, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, 310000, Zhejiang, China.
Pingli WangDepartment of Respiratory Medicine, School of Medicine, Second Affiliated Hospital of Zhejiang University, Hangzhou, 310000, Zhejiang, China. pingliwang@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of checkpoint inhibitor-associated pneumonitis (CIP) in advanced non-small cell lung cancer (NSCLC) has been substantiated through large-scale clinical trials or real-world studies. However, reports on CIP incidence within the context of neoadjuvant immunotherapy for resectable NSCLC remain scarce. This study endeavors to investigate the incidence, risk factors, and outcomes of CIP in patients with resectable NSCLC receiving neoadjuvant immunochemotherapy.

methodsA retrospective, case-control study was conducted on patients diagnosed with NSCLC stages IIA-IIIB who received neoadjuvant immunochemotherapy between January 2018 and September 2022. Patients were stratified into two groups based on the presence or absence of CIP, facilitating a comparative analysis of clinical characteristics, treatment modalities, physiological indicators, and prognostic outcomes .

resultsThe study cohort comprised 245 patients, with 11.4% (28/245) experiencing CIP. The median period of CIP onset was 70 (range, 40-221) days. The incidence of severe CIP (grade 3-4) was 3.7% (9/245). Patients with CIP showed a higher all-cause mortality rate of 21.4% (6/28) compared to that of patients without CIP. Those who developed CIP exhibited elevated body mass index (BMI) values (p = 0.028) and increased fibrinogen (FIB) levels (p < 0.001), alongside a significant decrease in both diffusing capacity for carbon monoxide (DLCO)% pred (p = 0.001) and DLCO/VA% pred (p = 0.021) after neoadjuvant therapy compared to pre-indicators. Receiver operating characteristic curve (ROC) analysis showed that the area under the ROC curve of three assessed variables (FIB levels, BMI, DLCO) reached 0.806 in predicting CIP occurrence at an early stage.

conclusionsThis cohort demonstrated that elevated BMI, increased FIB levels, and decreased pulmonary diffusion function after neoadjuvant therapy are risk factors of CIP occurrence. Early assessment and continuous monitoring of these indicators are imperative for the predictive identification of CIP, enhancing patient management and outcomes.

Indexed as

Carcinoma, Non-Small-Cell LungImmune Checkpoint InhibitorsNeoadjuvant TherapyPneumoniaCase-Control StudiesComorbidityFemaleHumansIncidenceKaplan-Meier EstimateMaleMiddle AgedRetrospective StudiesRisk FactorsImmune Checkpoint InhibitorsBody mass indexCheckpoint inhibitor-associated pneumonitisNon-small cell lung cancer

Identifiers

PMID38783253
PMCPMC11112843

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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.