Evidence map›Paper›PMID 31372262›Full record

ArticleJournal of thoracic disease2019

Age at diagnosis is a heterogeneous factor for non-small cell lung cancer patients.

Tao Chen, Fangyu Zhou, Weili Jiang, Rui Mao, Hui Zheng, Linlin Qin, Chang Chen

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2019. 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
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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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Tao ChenDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
Fangyu ZhouDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
Weili JiangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai 200032, China.
Rui MaoDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
Hui ZhengDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
Linlin QinDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
Chang ChenDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of lung cancer is reported as age dependent. However, the link between survival and age at diagnosis remains controversial. To date, few studies have examined the relationship between age and the clinicopathologic characteristics of patients with non-small cell lung cancer (NSCLC).

methodsUsing the Surveillance, Epidemiology, and End Results (SEER) database, we included in our analysis 151,919 patients diagnosed with NSCLC between 2004 and 2013. Logistic regression was used to evaluate the associations between age and clinicopathological characteristics. N and M stages were separately assessed in each T stage.

resultsOf the patients enrolled, 60,271 patients were diagnosed at the M1 stage, 147,263 patients had lymph node metastasis, and 49,862 patients underwent surgery. Younger age was inversely associated with high N stage and M stage (P<0.001, respectively). For each T stage, the inverse associations with M1 stage and lymph node metastasis were also presented (P<0.001, respectively). Age was an independent risk predictor for NSCLC patients by using univariate and multivariate analyses.

conclusionsAge at diagnosis is a heterogeneous factor for NSCLC patients: younger patients have an increased risk of lymph node and distant metastases, yet have a better prognosis.

Indexed as

Age at diagnosisdistant metastasislymph node metastasisnon-small cell lung cancer (NSCLC)prognosis

Identifiers

PMID31372262
PMCPMC6626822

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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.