Evidence map›Paper›PMID 32124588›Full record

ArticleInternational journal of health policy and management2020

Meeting the Challenge of Diabetes in China.

Zhen Luo, Guilhem Fabre, Victor G Rodwin

Abstract readEditorial
In one paragraph

Article in International journal of health policy and management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Trial
  2. Observational
  3. Article
  4. Association of Type 2 Diabetes and Body Mass Index with Arterial Stiffness: A Carotid Ultrasound Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026
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  11. Treatment Patterns and Glycaemic Control Between 2015 and 2019 in Tianjin, China: A Real-World Study of Adults with Type 2 Diabetes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. AI-Driven Management of Type 2 Diabetes in China: Opportunities and Challenges.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
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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

3 authors.

Zhen LuoRobert F. Wagner School of Public Service, New York University (NYU), New York City, NY, USA.ORCID 0000-0002-3594-3434
Guilhem FabreIRIEC EA 740, Université Paul Valéry, Montpellier3, Montpellier, France.
Victor G RodwinWorld Cities Project, Wagner School of Public Service, New York University (NYU), New York City, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

China's estimated 114 million people with diabetes pose a massive challenge for China's health policy-makers who have significantly extended health insurance coverage over the past decade. What China is doing now, what it has achieved, and what remains to be done should be of interest to health policy-makers, worldwide. We identify the challenges posed by China's two principal strategies to tackle diabetes: (1) A short-term pilot strategy of health promotion, detection and control of chronic diseases in 265 national demonstration areas (NDAs); and (2) A long-term strategy to extend health promotion and strengthen primary care capacity and health system integration throughout China. Finally, we consider how Chinese innovations in artificial intelligence (AI) and Big Data may contribute to improving diagnosis, controlling complications and increasing access to care. Health system integration in China will require overcoming the fragmentation of a system that still places excessive reliance on local government financing. Moreover, what remains to be done resembles deeper challenges faced by healthcare systems worldwide: the need to upgrade primary care and reduce inequalities in access to health services.

Indexed as

Artificial IntelligenceChinaDiabetes Mellitus, Type 2FemaleFinancing, GovernmentHealth Care ReformHealthy People ProgramsHumansInsurance, HealthMalePrimary Health CareArtificial IntelligenceBig DataChinaDiabetesHealth Policy

Identifiers

PMID32124588
PMCPMC7054646

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.