Evidence map›Paper›PMID 40468326›Full record

ArticleBMC pulmonary medicine2025

Lung Cancer incidence in both sexes across global areas: data from 1978 to 2017 and predictions up to 2035.

Dong-Ning Lu, Yan Jiang, Wan-Chen Zhang, Rong-Kang Du, Ao Zeng, Yi-Mu Wu, Xiao Zhou

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Article in BMC pulmonary medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Dong-Ning Lu *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Yan Jiang *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Wan-Chen ZhangThe First Affiliated Hospital of Ningbo University, Ningbo City, 315000, China.
Rong-Kang Du *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Ao ZengDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Yi-Mu WuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China.
Xiao ZhouDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200433, China. zx_ty68@163.com.

Funding

National Natural Science Foundation of China 81802674
6 · The paper itself

Abstract

BACKGROUND AND

aimLung cancer (LC) is one of the most prevalent and fatal malignancies worldwide. With the progress of society, the pathogenic factors, medical diagnosis, and environmental health policies of lung cancer have all changed. Therefore, predicting the incidence trend of LC is of significance for people to understand the future burden of LC.In this study, we aimed to analyze temporal trends in LC incidence across 45 areas from 1978 to 2017, investigate regional and demographic patterns of LC incidence, and predict trends from 2018 to 2035.

methodsData on annual LC cases and population statistics, stratified by age and sex, were collected from 111 cancer registries in 45 areas across five continents using the Cancer Incidence in Five Continents Plus database. From 1978 to 2017, age-standardized rates (ASRs) per 100,000 individuals were calculated for both sexes and different age groups. A Bayesian age-period-conhort (BAPC) model was applied to forecast ASRs until 2035.

resultsFrom 1978 to 2017, LC ASRs decreased in most areas for men (32/45 areas) but increased for women (37/45 areas), and mainly due to the rising incidence rate among elderly women (> 60 years old). Among men, the country with the largest increase was Cyprus (+ 71.95%), and the largest decrease was Costa Rica (-64%). Among women, France saw the greatest increase (+ 515.15%) while Kuwait had the least (-72.85%). In addition, the LC ASR in high-income areas is higher than that in middle - and low-income areas. However, projections from 2018 to 2035 suggested that only 8 of 45 areas will witness increasing LC ASRs for men, whereas 18 areas will experience ASR increases for women.

conclusionOverall, global LC incidence is gradually declining. However, considerable disparities exist across areas, sexes, and developmental stages. Therefore, understanding area-specific trends, customizing control measures to local contexts, and conducting screening and early interventions in high-incidence areas and populations are central to overcoming these differences. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Global HealthLung NeoplasmsAdultAgedAged, 80 and overAge DistributionBayes TheoremFemaleForecastingHumansIncidenceMaleMiddle AgedRegistriesSex DistributionSex FactorsAge-standardized ratesIncidenceLung cancerPredictionsSexes

Identifiers

PMID40468326
PMCPMC12135282

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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.