Evidence map›Paper›PMID 38200537›Full record

ArticleBMC pulmonary medicine2024

Long-term trends of lung cancer incidence and survival in southeastern China, 2011-2020: a population-based study.

Yan Zhou, Zhisheng Xiang, Weikai Lin, Jinghui Lin, Yeying Wen, Linrong Wu, Jingyu Ma, Chuanben Chen

Open access · goldAbstract read
In one paragraph

Article in BMC pulmonary medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Guideline
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  9. Complex situations in lung cancer: multifocal disease, oligoprogression and oligorecurrence.European respiratory review : an official journal of the European Respiratory Society · 2024
    Review
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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

8 authors at 3 institutions in 1 country.

Yan Zhou *Department of Epidemiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China.
Zhisheng Xiang *Department of Epidemiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China.
Weikai LinDepartment of Thoracic Surgery, The Second Affiliated Hospital of Fujian University of Traditional Chinese Medicine, 350003, Fuzhou, China.
Jinghui LinDepartment of Thoracic oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China.
Yeying WenDepartment of Epidemiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China.
Linrong WuFujian Provincial Office for Cancer Prevention and Control, 350014, Fuzhou, China.
Jingyu MaDepartment of Epidemiology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, 350014, Fuzhou, China. jingyuma@fjzlhospital.com.
Chuanben ChenDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No.420 Fuma Road, 350014, Fuzhou, China. chenchuanben2010@126.com.
Fujian Medical University · CNFujian Provincial Cancer Hospital · CNFujian University of Traditional Chinese Medicine · CN

Funding

Natural Science Foundation of Fujian Province 2023J011292
6 · The paper itself

Abstract

backgroundLung cancer is the primary cause of cancer-related deaths in China. This study analysed the incidence and survival trends of lung cancer from 2011 to 2020 in Fujian Province, southeast of China, and provided basis for formulating prevention and treatment strategies.

methodsThe population-based cancer data was used to analyse the incidence of lung cancer between 2011 and 2020, which were stratified by sex, age and histology. The change of incidence trend was analysed using Joinpoint regression. The relative survival of lung cancer with onset in 2011-2014, 2015-2017 and 2018-2020 were calculated using the cohort, complete and period methods, respectively.

resultsThere were 23,043 patients diagnosed with lung cancer in seven registries between 2011 and 2020, with an age-standardized incidence rate (ASIR) of 37.7/100,000. The males ASIR increased from 51.1/100,000 to 60.5/100,000 with an annual percentage change (APC) of 1.5%. However, females ASIR increased faster than males, with an APC of 5.7% in 2011-2017 and 21.0% in 2017-2020. Compared with 2011, the average onset age of males and females in 2020 was 1.5 years and 5.9 years earlier, respectively. Moreover, the proportion of adenocarcinoma has increased, while squamous cell carcinoma and small cell carcinoma have decreased over the past decade. The 5-year relative survival of lung cancer increased from 13.8 to 23.7%, with a greater average increase in females than males (8.7% and 2.6%). The 5-year relative survival of adenocarcinoma, squamous cell carcinoma and small cell carcinoma reached 47.1%, 18.3% and 6.9% in 2018-2020, respectively.

conclusionsThe incidence of lung cancer in Fujian Province is on the rise, with a significant rise in adenocarcinoma, a younger age of onset and the possibility of overdiagnosis. Thus, Fujian Province should strengthen the prevention and control of lung cancer, giving more attention to the prevention and treatment of lung cancer in females and young populations.

Indexed as

AdenocarcinomaCarcinoma, Small CellCarcinoma, Squamous CellLung NeoplasmsSmall Cell Lung CarcinomaChinaFemaleGlycation End Products, AdvancedHumansIncidenceInfantMaleGlycation End Products, AdvancedIncidenceLung cancerPopulation-based studySurvivalTrend

Identifiers

PMID38200537
PMCPMC10782768
OpenAlexW4390694672

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.