Evidence map›Paper›PMID 34790776›Full record

ArticleAnnals of translational medicine2021

A novel prognostic signature for idiopathic pulmonary fibrosis based on five-immune-related genes.

Lingxiao Qiu, Gencheng Gong, Wenjuan Wu, Nana Li, Zhaonan Li, Shanshan Chen, Ping Li, Tengfei Chen, Huasi Zhao, Chunling Hu and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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

15 authors at 4 institutions in 1 country.

Lingxiao QiuDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Gencheng GongState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, the First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
Wenjuan WuDepartment of Geriatric Medicine, Henan Provincial People's Hospital, Zhengzhou, China.
Nana LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhaonan LiDepartment of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shanshan ChenDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Ping LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Tengfei ChenDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Huasi ZhaoDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chunling HuDepartment of Respiratory Intensive Care Unit, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zeming FangDepartment of Thoracic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yan WangDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hongping LiuDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Panpan CuiSchool of Nursing and Heath, Zhengzhou University, Zhengzhou, China.
Guojun ZhangDepartment of Respiratory Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
First Affiliated Hospital of Zhengzhou University · CNZhengzhou University · CNGuangzhou Medical University · CNHenan Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdiopathic pulmonary fibrosis (IPF) is a highly fatal lung disease of unknown etiology with a median survival after diagnosis of only 2-3 years. Its poor prognosis is due to the limited therapy options available as well as the lack of effective prognostic indicators. This study aimed to construct a novel prognostic signature for IPF to assist in the personalized management of IPF patients during treatment.

methodsDifferentially-expressed genes (DEGs) in IPF patients versus healthy individuals were analyzed using the "limma" package of R software. Immune-related genes (IRGs) were obtained from the ImmPort database. Univariate Cox regression analysis was adopted to screen significantly prognostic IRGs for IPF patients. Multiple Cox regression analysis was used to identify optimal prognostic IRGs and construct a prognostic signature.

resultsCompared with healthy individuals, there were a total of 52 prognosis-related DEGs in the bronchoalveolar lavage (BAL) samples of IPF patients, of which 37 genes were identified as IRGs. Of these, five genes (

conclusionsWe developed a validated and reproducible IRG-based prognostic signature that should be helpful in the personalized management of patients with IPF, providing new insights into the relationship between the immune system and IPF.

Indexed as

bronchoalveolar lavage (BAL)GEOIdiopathic pulmonary fibrosis (IPF)immune-related genes (IRGs)prognostic signature

Identifiers

PMID34790776
PMCPMC8576669
OpenAlexW3206706465

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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.