Evidence map›Paper›PMID 32054633›Full record

ArticleESMO open2020

Impact of prior cancer history on the overall survival of younger patients with lung cancer.

Jiaqing Liu, Huaqiang Zhou, Yaxiong Zhang, Wenfeng Fang, Yunpeng Yang, Shaodong Hong, Gang Chen, Shen Zhao, Xi Chen, Zhonghan Zhang and 5 more

Abstract read
In one paragraph

Article in ESMO open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  6. Prior cancer history predicts the worse survival of patients with nasopharyngeal carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2022
    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

15 authors.

Jiaqing Liu *Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Huaqiang Zhou *Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Yaxiong Zhang *Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Wenfeng FangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Yunpeng YangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Shaodong HongDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Gang ChenDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Shen ZhaoDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Xi ChenDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Zhonghan ZhangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Wei XianZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Jiayi ShenZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Yan HuangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Hongyun ZhaoDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Li ZhangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China zhangli6@mail.sysu.edu.cn.ORCID 0000-0002-6672-4808

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with a history of prior cancer are frequently excluded from cancer trials. Previous studies indicated that prior cancer does not adversely impact clinical outcomes for patients with lung cancer older than 65 years. However, it remains unknown whether these results are applicable to patients with lung cancer aged younger than 65 years old. The study aimed to investigate the impact of prior cancer history on younger patients with lung cancer.

methodsWe identified younger patients with lung cancer (<65 years) diagnosed between 2004 and 2009 in the Surveillance, Epidemiology, and End Results database. Propensity score matching was performed to balance differences in baseline characteristics between groups. Kaplan-Meier method and the Cox proportional hazards model were used to evaluate the impact of prior cancer on overall survival (OS).

resultsAmong 103 370 eligible patients with lung cancer, 15.18% had a history of prior cancer. Lung and bronchus (25.83%), breast (14.13%), prostate (8.85%) and cervix uteri (4.74%) were the most common prior cancer types. Of prior cancers, 61.56% are localised and regional stages. More than 67.98% of prior cancers were diagnosed within 5 years of the index lung cancer diagnosis. The median times of diagnosis for prior cancers were 38 months. Patients with prior cancer had the same/non-inferior OS as that of patients without a prior cancer diagnosis (propensity score-adjusted HR=1.01, 95% CI=0.99 to 1.04, p=0.324). Subgroup analyses stratified by timing of prior cancer displayed almost the same tendency (p>0.05). Interestingly, early-stage patients with a history of prior cancer had adverse survival curves (p<0.05). Advanced-stage patients with prior cancer had non-inferior survival (p>0.05).

conclusionsA prior cancer diagnosis has a heterogeneous effect on the survival of patients with lung cancer aged <65 years across different stages, but further prospective studies are still warranted.

Indexed as

AgedFemaleHumansLung NeoplasmsMalePrognosisSurvival Analysislung cancerprior cancerSEERyounger patients

Identifiers

PMID32054633
PMCPMC7046373

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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.