Evidence map›Paper›PMID 35442209›Full record

ArticleJMIR public health and surveillance2022

Long-term Changes in the Premature Death Rate in Lung Cancer in a Developed Region of China: Population-based Study.

Wenjing Ye, Weiwei Lu, Xiaopan Li, Yichen Chen, Lin Wang, Guangwang Zeng, Cheng Xu, Chen Ji, Yuyang Cai, Ling Yang and 1 more

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

5 citing papers in PubMed.

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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

11 authors.

Wenjing Ye *Department of Respiratory Medicine, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-2764-9649
Weiwei Lu *Department of General Practice, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-0026-1740
Xiaopan Li *Department of Health Management Center, Zhongshan Hospital, Shanghai Medical College of Fudan University, Shanghai, China.ORCID 0000-0002-9625-478X
Yichen ChenOffice of Scientific Research and Information Management, Pudong Institute of Preventive Medicine, Shanghai, China.ORCID 0000-0002-9043-6961
Lin WangDepartment of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-7279-5103
Guangwang ZengDepartment of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-5243-7341
Cheng XuDepartment of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-6005-1606
Chen JiWarwick Clinical Trials Unit, Warwick Medical School, Coventry, United Kingdom.ORCID 0000-0003-4919-3299
Yuyang CaiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-1500-8518
Ling YangDepartment of Geriatrics, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0001-6626-4541
Zheng LuoShanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Pudong New Area, Shanghai, China.ORCID 0000-0001-9666-8184

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is a leading cause of death worldwide, and its incidence shows an upward trend. A study of the long-term changes in the premature death rate in lung cancer in a developed region of China has great exploratory significance to further clarify the effectiveness of intervention measures.

objectiveThis study examined long-term changes in premature lung cancer death rates in order to understand the changes in mortality and to design future prevention plans in Pudong New Area (PNA), Shanghai, China.

methodsCancer death data were collected from the Mortality Registration System of PNA. We analyzed the crude mortality rate (CMR), age-standardized mortality rate by Segi's world standard population (ASMRW), and years of life lost (YLL) of patients with lung cancer from 1973 to 2019. Temporal trends in the CMR, ASMRW, and YLL rate were calculated by joinpoint regression expressed as an average annual percentage change (AAPC) with the corresponding 95% CI.

resultsAll registered permanent residents in PNA (80,543,137 person-years) from 1973 to 2019 were enrolled in this study. There were 42,229 deaths from lung cancer. The CMR and ASMRW were 52.43/10

conclusionsLung cancer deaths showed an increasing trend in PNA from 1973 to 2019. Demographic factors, such as the aging population, contributed more to an increased CMR. Our research can help us understand the changes in lung cancer mortality and can be used for similar cities in designing future prevention plans.

Indexed as

Lung NeoplasmsMortality, PrematureAgedChinaFemaleHumansIncidenceMaleResearchdecomposition methodlung cancermortalitytrend analysisyears of life lost

Identifiers

PMID35442209
PMCPMC9069300

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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.