Evidence map›Paper›PMID 37004714›Full record

ArticleThe Lancet. Public health2023

Projections of future life expectancy in China up to 2035: a modelling study.

Ruhai Bai, Yunning Liu, Lei Zhang, Wanyue Dong, Zhenggang Bai, Maigeng Zhou

Abstract read
In one paragraph

Article in The Lancet. Public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. [Analysis of the disease burden of Burkitt lymphoma in China from 1990 to 2021].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. G20 stroke burden 1990-2035: trends, projections and precision health insights.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  18. Review
  19. Article
  20. Article

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ruhai BaiEvidence-Based Research Center of Social Science and Health, School of Public Affairs, Nanjing University of Science and Technology, Nanjing, China.
Yunning LiuNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Lei ZhangChina-Australia Joint Research Centre for Infectious Diseases, School of Public Health, Xi'an Jiaotong University Health Science Centre, Xi'an, China; Melbourne Sexual Health Centre, Alfred Health, Melbourne, VIC, Australia; Central Clinical School, Faculty of Medicine, Monash University, Melbourne, VIC, Australia.
Wanyue DongSchool of Elderly Care Services and Management, Nanjing University of Chinese Medicine, Nanjing, China.
Zhenggang BaiEvidence-Based Research Center of Social Science and Health, School of Public Affairs, Nanjing University of Science and Technology, Nanjing, China. Electronic address: baizhenggang@126.com.
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. Electronic address: maigengzhou@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo plan social and health services, future life expectancy projections are needed. The aim of this study was to forecast the future life expectancy for mainland China and its provinces.

methodsFollowing the same approach as the Global Burden of Disease Study, we used the largest compiled epidemiological and demographic datasets to estimate age-specific mortality and evaluate population data from 1990 to 2019. A total of 21 life expectancy forecasting models were combined by a probabilistic Bayesian model to forecast the life expectancy for mainland China and its provinces in 2035.

findingsThe projected life expectancy at birth in mainland China in 2035 is 81·3 years (95% credible interval 79·2-85·0), and there is a high probability that the national goals of improving life expectancy will be achieved (79 years in 2030, and over 80 years in 2035). At the provincial level, women in Beijing have the highest projected life expectancy in 2035 with an 81% probability of reaching 90 years, followed by Guangdong, Zhejiang, and Shanghai, which all have more than a 50% probability of surpassing 90 years. Men in Shanghai are projected to have the highest life expectancy at birth in 2035, with a 77% probability of life expectancy being over 83 years, the highest provincial life expectancy in mainland China in 2019. The projected gains in life expectancy are mainly derived from older individuals (aged ≥65 years), except those in Xinjiang, Tibet, and Qinghai (for men), in which the main contributions come from younger (0-29 years) or middle-aged (30-64 years) individuals.

interpretationLife expectancy in mainland China and its provinces has a high probability of continuing to increase through to 2035. Adequate policy planning of social and health services will be needed.

fundingChina National Natural Science Foundation and Social Science Fund of Jiangsu Province.

Indexed as

Life ExpectancyBayes TheoremChinaFemaleForecastingHumansInfant, NewbornMaleMiddle Aged

Identifiers

PMID37004714
PMCPMC10188127

What OpenQuestion holds

Textmetadata
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.