Evidence map›Paper›PMID 32493253›Full record

ArticleBMC public health2020

Non-communicable diseases are key to further narrow gender gap in life expectancy in Shanghai, China.

Hanyi Chen, Yi Zhou, Lianghong Sun, Yichen Chen, Xiaobin Qu, Hua Chen, Janani Rajbhandari-Thapa, Shaotan Xiao

Abstract read
In one paragraph

Article in BMC public health, 2020. 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

8 authors.

Hanyi ChenDepartment of Science Research and Information Management, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Yi ZhouDepartment of Science Research and Information Management, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Lianghong SunDepartment of Science Research and Information Management, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Yichen ChenDepartment of Science Research and Information Management, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Xiaobin QuDepartment of Science Research and Information Management, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Hua ChenDepartment of Science Research and Information Management, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China.
Janani Rajbhandari-ThapaCollege of Public Health, University of Georgia, Athens, GA, USA. jrthapa@uga.edu.
Shaotan XiaoDepartment of Science Research and Information Management, Shanghai Pudong New Area Center for Disease Control and Prevention, Shanghai, 200136, China. pujdn55@163.com.

Funding

Health and Family Planning Committee of Pudong New Area PW2018B-02Health and Family Planning Committee of Pudong New Area PWRd2019-11
6 · The paper itself

Abstract

backgroundTo address change in the gender gap of life expectancy (GGLE) in Shanghai from 1973 to 2018, and to identify the major causes of death and age groups associated with the change over time.

methodsThe temporal trend in GGLE was evaluated using retrospective demographic analysis with Joinpoint regression. Causes of death were coded in accordance with the International Classification of Diseases and mapped with the Global Burden of Disease (GBD) cause list. The life table technique and decomposition method were used to express changes in GGLE.

resultsThe trend of GGLE in Shanghai experienced two phases, i.e., a decrease from 8.4 to 4.2 years in the descent phase (1973-1999) and a fluctuation between 4.0 and 4.9 years in the plateau phase (1999-2018). The reduced age-specific mortality rates tended to concentrate to a narrower age range, from age 0-9 and above 30 years in the descent phase to age above 55 years in the plateau phase. Gastroesophageal and liver cancer, communicable, chronic respiratory, and digestive diseases were once the major contributors to narrow GGLE in the descent phase. While, importance should be attached to a widening effect on GGLE by lung cancer, cardiovascular diseases, other neoplasms like colorectal and pancreatic cancer, and diabetes in the recent plateau phase.

conclusionsNon-communicable diseases (NCDs) have made GGLE enter a plateau phase from a descent phase in Shanghai, China. Public efforts to reduce excess mortalities for male NCDs, cancers, cardiovascular diseases, chronic respiratory diseases, and diabetes in particular and health policies focused on the middle-aged and elderly population might further narrow GGLE. This will also ensure improvements in health and health equity in Shanghai China.

Indexed as

Sex FactorsAdolescentAdultAgedCause of DeathChildChild, PreschoolChinaDemographyFemaleGlobal Burden of DiseaseHealth EquityHumansInfantInfant, NewbornInternational Classification of DiseasesCause of deathChinaChronic diseaseDecomposition analysisHealth equityJoinpointLife expectancyMortalityTrends

Identifiers

PMID32493253
PMCPMC7268263

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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.