Evidence map›Paper›PMID 37986711›Full record

SynthesisThoracic cancer2024

Observed and relative survival trends of lung cancer: A systematic review of population-based cancer registration data.

Jing-Hao Bi, Jia-Yi Tuo, Yu-Xuan Xiao, Dan-Dan Tang, Xiao-Hui Zhou, Yu-Fei Jiang, Xiao-Wei Ji, Yu-Ting Tan, Hui-Yun Yuan, Yong-Bing Xiang

Abstract readSystematic Review
In one paragraph

Synthesis in Thoracic cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 5 pooled it
–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

41 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  4. [Frontiers in medicine · 2024
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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

10 authors.

Jing-Hao BiDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jia-Yi TuoDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yu-Xuan XiaoDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Dan-Dan TangDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiao-Hui ZhouDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yu-Fei JiangDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Xiao-Wei JiDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yu-Ting TanDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Hui-Yun YuanRenji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Yong-Bing XiangDepartment of Epidemiology & State Key Laboratory of Systems Medicine for Cancer, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China.ORCID 0000-0002-3840-9915

Funding

National Key Project of Research and Development Program of China 2021YFC2500404National Key Project of Research and Development Program of China 2021YFC2500405
6 · The paper itself

Abstract

backgroundUsing the published survival statistics from cancer registration or population-based studies, we aimed to describe the global pattern and trend of lung cancer survival.

methodsBy searching SinoMed, PubMed, Web of Science, EMBASE, and SEER, all survival analyses from cancer registration or population-based studies of lung cancer were collected by the end of November 2022. The survival rates were extracted by sex, period, and country. The observed, relative, and net survival rates of lung cancer were applied to describe the pattern and time changes from the late 1990s to the early 21st century.

resultsAge-standardized 5-year relative/net survival rate of lung cancer was typically low, with 10%-20% for most regions. The highest age-standardized relative/net survival rate was observed in Japan (32.9%, 2010-2014), and the lowest was in India (3.7%, 2010-2014). In most countries, the five-year age-standardized relative/net survival rates of lung cancer were higher in females and younger people. The patients with adenocarcinoma had a better prognosis than other groups. In China, the highest 5-year overall relative/net survival rates were 27.90% and 31.62% in men and women in Jiangyin (2012-2013).

conclusionOver the past decades, the prognosis of lung cancer has gradually improved, but significant variations were also observed globally. Worldwide, a better prognosis of lung cancer can be observed in females and younger patients. It is essential to compare and evaluate the histological or stage-specific survival rates of lung cancer between different regions in the future.

Indexed as

AdenocarcinomaLung NeoplasmsFemaleHumansIncidenceMalePrognosisSurvival AnalysisSurvival Ratecancer registrylung cancerobserved survival ratepopulation-based survival studyrelative survival rate

Identifiers

PMID37986711
PMCPMC10788469

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.