Evidence map›Paper›PMID 42866153›Full record

ArticleJournal of thoracic disease2026

Yiran He, Huan Wang, Yi Huang, Jie Gu, Linli Wang, Di Ge, Lizhen Xuan, Minjie Ju

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of thoracic disease, 2026. 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

8 authors.

Yiran HeDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Huan WangDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Yi HuangDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Jie GuDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Linli WangDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Di GeDepartment of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai, China.
Lizhen XuanDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.
Minjie JuDepartment of Critical Care Medicine, Zhongshan Hospital, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer therapy frequently induces lung injury, leading to treatment interruption and poor prognosis; however, specific biomarkers linking cancer therapy and therapy-related lung injury remain poorly defined. This study aimed to identify a biomarker relevant to both lung cancer progression and lung injury, with emphasis on prognostic significance and immune infiltration. Methods: RNA-sequencing data from Gene Expression Omnibus (GEO) (GSE166340, GSE27128) were used to identify lung injury-related genes (LIRGs), and The Cancer Genome Atlas (TCGA) data were analyzed to evaluate their expression in lung adenocarcinoma (LUAD). Single-cell RNA-sequencing data (PRJNA846488) and Results: A total of 10 LIRGs were identified. Conclusions:

Indexed as

bioinformaticsLung adenocarcinoma (LUAD)lung injuryprognosisTMEM171

Identifiers

PMID42866153
PMCPMC13655809

What OpenQuestion holds

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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.