Evidence map›Paper›PMID 35122390›Full record

ArticleJournal of cellular and molecular medicine2022

Lymphocyte percentage as a valuable predictor of prognosis in lung cancer.

Hong Huang, Lei Li, Wenxin Luo, Yongfeng Yang, Yinyun Ni, Tingting Song, Yihan Zhu, Ying Yang, Li Zhang

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

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

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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.

Hong HuangInstitute of Clinical Pathology, Key Laboratory of Transplantation Engineering and Immunology, Ministry of Health, West China Hospital, Sichuan University, Chengdu, China.
Lei LiDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Wenxin LuoDepartment of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yongfeng YangPrecision Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Yinyun NiPrecision Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Tingting SongPrecision Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Yihan ZhuInstitute of Clinical Pathology, Key Laboratory of Transplantation Engineering and Immunology, Ministry of Health, West China Hospital, Sichuan University, Chengdu, China.
Ying YangPrecision Medicine Center, West China Hospital, Sichuan University, Chengdu, China.
Li ZhangInstitute of Clinical Pathology, Key Laboratory of Transplantation Engineering and Immunology, Ministry of Health, West China Hospital, Sichuan University, Chengdu, China.ORCID 0000-0003-1125-1991

Funding

1·3·5 Project for Disciplines of Excellence-Clinical Research Incubation Project, West China Hospital, Sichuan University 2018HXFH012Science and Technology Project of Chengdu 2017-CY02-00031-GX
6 · The paper itself

Abstract

Lymphocytes and neutrophils are involved in the immune response against cancer. This study aimed to investigate the relationship between lymphocyte percentage/neutrophil percentage and the clinical characteristics of lung cancer patients, and to explore whether they could act as valuable predictors to ameliorate lung cancer prognosis. A total of 1312 patients were eligible to be recruited. Lymphocyte percentage and neutrophil percentage were classified based on their reference ranges. Survival curves were determined using Kaplan-Meier method, and univariate and multivariate cox regression analyses were performed to identify the significant predictors. Decision curve analysis was used to evaluate the clinical benefit. The results of both training and validation cohorts indicated that lymphocyte percentage exhibited high correlation with clinical characteristics and metastasis of lung cancer patients. Both lymphocyte percentage and neutrophil percentage were closely associated with survival status (all p < 0.0001). Low lymphocyte percentage could act as an indicator of poor prognosis; it offered a higher clinical benefit when combined with the clinical characteristic model. Our findings suggested that pretreatment lymphocyte percentage served as a reliable predictor of lung cancer prognosis, and it was also an accurate response indicator in lung adenocarcinoma and advanced lung cancer. Measurement of lymphocyte percentage improved the clinical utility of patient characteristics in predicting mortality of lung cancer patients.

Indexed as

Adenocarcinoma of LungLung NeoplasmsHumansLymphocyte CountLymphocytesNeutrophilsRetrospective StudiesROC Curveclinical benefitlung cancerlymphocyte percentageneutrophil percentagepoor prognosissurvival status

Identifiers

PMID35122390
PMCPMC8980931

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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.