Evidence map›Paper›PMID 40814450›Full record

ArticleJournal of family medicine and primary care2025

Analysing health conditions and economic influence on healthcare infrastructure: A comparative analysis of India, China, Japan, and South Korea.

Saurabh Kumar, Umme Afifa, Shilpa Reddy, Amit Kumar, Sitaram Choudhary, Ashok Kumar, Sadhna Singh

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Saurabh KumarDepartment of Statistics, Central University of Rajasthan, Bandar Sindri, Kishangarh, Ajmer, Rajasthan, India.
Umme AfifaDepartment of Community Medicine, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, UP, India.
Shilpa ReddyDepartment of Community Medicine, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, UP, India.
Amit KumarDepartment of Community Medicine, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, UP, India.
Sitaram ChoudharyDepartment of Statistics, Central University of Rajasthan, Bandar Sindri, Kishangarh, Ajmer, Rajasthan, India.
Ashok KumarDepartment of Community Medicine, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, UP, India.
Sadhna SinghDepartment of Community Medicine, Teerthanker Mahaveer Medical College and Research Centre, Moradabad, UP, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Asian nations are striving for rapid economic growth, but factors like climate change, pollution, and unhealthy lifestyles are rising alongside, posing serious health risks. Asia, home to diverse cultures and economies, includes top global GDP contributors like China, Japan, India, and South Korea. Despite economic progress, Asia faces high mortality from illness, especially non-communicable diseases (NCDs). Objective: This study aims to analyse health conditions and the impact of economic growth on healthcare systems in these four countries while conducting a comparative analysis of their healthcare outcomes. Material and Methods: Key indicators like hospital bed availability, active physicians, and healthcare spending as a percentage of GDP are examined. The study focuses on NCDs, such as cancers, cardiovascular diseases, and respiratory conditions. Results: Economic growth has led to better healthcare access, but NCDs now dominate as the leading causes of death. Healthcare infrastructure improves with GDP growth. Conclusion: Despite economic gains, managing the growing burden of NCDs is essential for improving health outcomes in these Asian nations.

Indexed as

Gross domestic producthealthcare resourcesnon-communicable diseasespanel data analysistime trend

Identifiers

PMID40814450
PMCPMC12349851

What Socratic holds

Textmetadata
LicenceCC BY-NC-SA
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.