Evidence map›Paper›PMID 32236129›Full record

ArticlePloS one2020

Patterns and changes in life expectancy in China, 1990-2016.

Hai Chen, Yun Qian, Yunqiu Dong, Zhijie Yang, Liangliang Guo, Jia Liu, Qian Shen, Lu Wang

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Increasing Burden of Osteoarthritis in China: Trends and Projections from the Global Burden of Disease Study 2019.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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.

Hai ChenDepartment of Chronic Disease Control, Center for Disease Control and Prevention, Wuxi, Jiangsu, China.
Yun QianDepartment of Chronic Disease Control, Center for Disease Control and Prevention, Wuxi, Jiangsu, China.
Yunqiu DongDepartment of Chronic Disease Control, Center for Disease Control and Prevention, Wuxi, Jiangsu, China.
Zhijie YangDepartment of Chronic Disease Control, Center for Disease Control and Prevention, Wuxi, Jiangsu, China.
Liangliang GuoDepartment of Chronic Disease Control, Center for Disease Control and Prevention, Wuxi, Jiangsu, China.
Jia LiuDepartment of Chronic Disease Control, Center for Disease Control and Prevention, Wuxi, Jiangsu, China.
Qian ShenDepartment of Chronic Disease Control, Center for Disease Control and Prevention, Wuxi, Jiangsu, China.
Lu WangDepartment of Chronic Disease Control, Center for Disease Control and Prevention, Wuxi, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo achieve the goal of "healthy China 2030", reasonable health policies must be developed based on the changes of death spectrum. We aim to investigate the temporal patterns of life expectancy (LE) and age/cause-specific contributions from 1990 to 2016.

methodsJoinpoint regression model was used with Arriaga's decomposition method.

resultsLE in China has reached to 76.3 years in 2016 with an increase of 9.44 years from 1990. From 1990 to 2002, a remarkable reduction in infant mortality accounted for an increase of 1.27 years (35.39%) to LE which mainly resulted from diarrhea, lower respiratory, and other common infectious diseases (1.00 years, 27.79%). After 2002, those aged 65+ years contributed most to increased LE and the most prominent causes included cardiovascular diseases (0.67 years, 23.36%), chronic respiratory diseases (0.54 years, 18.76%) and neoplasms (0.39 years, 13.44%). Moreover, the effects of transport injuries changed from negative to positive. After 2007, contributions of transport and unintentional injuries increased especially for males. And for females contributions of cardiovascular diseases sharply increased LE by 1.17 years (32.26%).

conclusionMore attention should be paid to cardiovascular diseases, chronic respiratory diseases and neoplasms which were mainly attributed to the increase of LE, especially for males and elderly population.

Indexed as

Life ExpectancyAdolescentAdultAgedAged, 80 and overAge FactorsCardiovascular DiseasesCause of DeathChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMale

Identifiers

PMID32236129
PMCPMC7112202

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.