Evidence map›Paper›PMID 40224905›Full record

SynthesisFrontiers in health services2025

Effect of family doctor contract services on non-communicable disease management among the elderly: a systematic review and meta-analysis.

Rong Wu, Fei Fei, Tingting Lu, Jing Zhu, Dan Hu

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in health services, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Rong Wu *Department of Scientific and Technology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Fei Fei *Department of Oncology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Tingting LuDepartment of Scientific and Technology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Jing ZhuDivision of Medical Affairs, The Affiliated Jiangning Hospital of Nanjing Medical University, Nanjing, China.
Dan HuSchool of Health Policy & Management, Nanjing Medical University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this meta-analysis was to examine the effect of family doctor contract service on managing non-communicable diseases (NCDs) among elderly patients. Methods: Chinese and English articles published up to 15 July 2022 were systematically searched. Relevant randomized controlled studies (RCTs) were extracted from seven databases: PubMed, Coherence, Embase, Web of Science, CNKI, Wanfang Data, and WeiPu. All these studies have evaluated the effect of family doctor contract services on chronic disease management among the elderly. A meta-analysis was conducted using either random or fixed effects. Mean difference and risk ratio were used to analyze quantitative and qualitative data, respectively. Results: We identified that 25 independent studies, involving 4,046 elderly patients with chronic diseases across China, were eligible for meta-analysis. The results from these RCTs indicated that family doctors could disseminate knowledge about NCDs to elderly patients, improve their disease management abilities (including drug compliance, healthy diet, regular exercise, non-smoking, and non-drinking), lower blood pressure and blood glucose levels, reduce BMI, and increase quality of life and patient satisfaction ( Conclusion: Family doctor contract services could improve health management for elderly patients with NCDs and should be promoted in China.

Indexed as

family doctor contract servicehealth managementmeta-analysisnon-communicable diseasesthe elderly

Identifiers

PMID40224905
PMCPMC11985813

What OpenQuestion holds

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LicenceCC BY
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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.