Evidence map›Paper›PMID 30241353›Full record

ArticleInternational journal of environmental research and public health2018

All-Cause and Cancer Mortality Trends in Macheng, China (1984⁻2013): An Age-Period-Cohort Analysis.

Chunhui Li, Songbo Hu, Chuanhua Yu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

3 authors.

Chunhui LiKey Laboratory of Environment and Health (HUST), Ministry of Education & Ministry of Environmental Protection, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China. chli0201@163.com.
Songbo HuSchool of Health Sciences, Global Health Institute, Wuhan University, Wuhan 430071, China. husbo0910@163.com.
Chuanhua YuSchool of Health Sciences, Global Health Institute, Wuhan University, Wuhan 430071, China. yuchua@163.com.ORCID 0000-0002-5811-5201

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim was to study the variation trends of all-cause and cancer mortality during 1984⁻2013 in Macheng City, China. The mortality data were collected from Macheng City disease surveillance points system and Hubei Center for Disease Control and Prevention. The model life table system was used to adjust mortality rates due to an under-reporting problem. An age-period-cohort model and intrinsic estimator algorithm were used to estimate the age effect, period effect, and cohort effect of all-cause mortality and cancer mortality for males and females. Age effect of all-cause mortality for both sexes increased with age, while the age effect of cancer mortality for both sexes reached a peak at the age group of 55⁻59 years old and then decreased. The relative risks (RRs) of all-cause mortality for males and females declined with the period and decreased by 51.13% and 63.27% during the whole study period, respectively. Furthermore, the period effect of cancer mortality in both sexes decreased at first and then increased. The cohort effect of all-cause and cancer mortality for both sexes born after 1904 presented the pattern of "rise first and then fall," and decreased by 82.18% and 90.77% from cohort 1904⁻1908 to 1989⁻1993, respectively; especially, the risk of all-cause and cancer mortality for both sexes born before 1949 was much higher than that for those born after 1949.

Indexed as

Accidental FallsAdolescentAdultAgedAged, 80 and overCause of DeathChinaCitiesCohort StudiesFemaleForecastingHumansLife TablesMaleMiddle AgedMortalityage-period-cohort modelall-cause mortalitycancer mortalityintrinsic estimator algorithm

Identifiers

PMID30241353
PMCPMC6210680

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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.