Evidence map›Paper›PMID 40739199›Full record

ArticleBMC cancer2025

Analysis of age-related survival differences in advanced non-small cell lung cancer patients based on real-world data.

Feiyang Li, Fang Li, Haowei Lu, Dong Zhao

Abstract read
In one paragraph

Article in BMC cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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4 · The record

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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

4 authors.

Feiyang Li *Department of Medical Oncology, Lixin People's Hospital of Bozhou City, Ward 2, Bozhou City, Anhui Province, China.
Fang Li *Department of Medical Oncology, Affiliated Hospital of Qinghai University, Ward 1, Xining City, Qinghai Province, China.
Haowei LuDepartment of Medical Oncology, Lixin People's Hospital of Bozhou City, Ward 2, Bozhou City, Anhui Province, China.
Dong ZhaoDepartment of Medical Oncology, Lixin People's Hospital of Bozhou City, Ward 2, Bozhou City, Anhui Province, China. ddstam123@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study investigates survival differences between elderly and younger patients with advanced non-small cell lung cancer and their relationship with multimodal treatments, aiming to inform clinical decision-making.

methodsWe retrospectively analyzed clinical data from 590 patients diagnosed with advanced non-small cell lung cancer between 2018 and 2024. Data included demographics, tumor characteristics, and survival outcomes. Propensity score matching was used to balance baseline characteristics, and Kaplan-Meier curves and multivariate Cox regression models assessed survival differences.

resultsAfter propensity score matching, no significant baseline differences were observed. Kaplan-Meier analysis showed median overall survival of 21 months for the ≥ 70 years group and 19 months for the < 70 years group (HR = 0.941, 95% CI 0.766-1.156, P = 0.555). Median cancer-specific survival was 21 months for the ≥ 70 years group and 17 months for the < 70 years group (HR = 0.892, 95% CI 0.716-1.112, P = 0.298). Cox regression analyses revealed that age was not an independent prognostic factor for survival. Subgroup analysis indicated potential heterogeneity in the lung metastasis subgroup (P = 0.047), but no significant interaction effects were found in other subgroups.

conclusionElderly patients with advanced non-small cell lung cancer achieve comparable survival benefits to younger patients when treated with multimodal approaches. Age is not an independent prognostic factor. These findings support multimodal treatment strategies for elderly patients and highlight the need for further research into personalized treatment plans.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAdultAgedAged, 80 and overAge FactorsCombined Modality TherapyFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisPropensity ScoreProportional Hazards ModelsRetrospective StudiesElderly patientsMultimodal treatmentNon-small cell lung cancerReal-world dataSurvival rate

Identifiers

PMID40739199
PMCPMC12312244

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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.