Evidence map›Paper›PMID 40525200›Full record

ArticleGeoHealth2025

Global Pattern and Disease Heterogeneity Drivers in Aging Populations.

Chengcheng Jin, Jialian Chen, Jinqiong Fang, Kaiyu Hua, Zherui Fu, Xingxing Chen, Hao Wu, Ying Hua

Abstract read
In one paragraph

Article in GeoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. 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.

Chengcheng JinThe First People's Hospital of Xiaoshan District Xiaoshan Affiliated Hospital of Wenzhou Medical University Zhejiang China.
Jialian ChenThe First People's Hospital of Xiaoshan District Xiaoshan Affiliated Hospital of Wenzhou Medical University Zhejiang China.
Jinqiong FangThe First People's Hospital of Xiaoshan District Xiaoshan Affiliated Hospital of Wenzhou Medical University Zhejiang China.
Kaiyu HuaThe First People's Hospital of Xiaoshan District Xiaoshan Affiliated Hospital of Wenzhou Medical University Zhejiang China.
Zherui FuThe First People's Hospital of Xiaoshan District Xiaoshan Affiliated Hospital of Wenzhou Medical University Zhejiang China.
Xingxing ChenThe First People's Hospital of Xiaoshan District Xiaoshan Affiliated Hospital of Wenzhou Medical University Zhejiang China.
Hao WuCollege of Oceanography Hohai University Nanjing China.ORCID https://orcid.org/0000-0001-5887-1106
Ying HuaThe First People's Hospital of Xiaoshan District Xiaoshan Affiliated Hospital of Wenzhou Medical University Zhejiang China.ORCID https://orcid.org/0009-0001-0138-1090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The unprecedented demographic shifts toward an aging population pose significant challenges to global healthcare systems. Understanding the heterogeneity in disease prevalence among the elderly is crucial for effective public health strategies. Using prevalence data of 85 types of age-related diseases, we calculated the global heterogeneity of disease distribution by the Shannon Diversity Index (SHDI). We observed significant geographic variations in disease heterogeneity, with higher SHDI values in high-income Western countries such as the United States of America and Sweden and lower in South Asia and Oceania (

Indexed as

aging populationdisease heterogeneityenvironmental factorspublic health

Identifiers

PMID40525200
PMCPMC12167922

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.