Evidence map›Paper›PMID 35701121›Full record

ArticleBeijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences2022

[Effectiveness of different screening strategies for type 2 diabete on preventing cardiovascular diseases in a community-based Chinese population using a decision-analytic Markov model].

J M Wang, Q P Liu, M L Zhang, C Gong, S D Liu, W Y Chen, P Shen, H B Lin, P Gao, X Tang

Abstract read
In one paragraph

Article in Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences, 2022. 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

10 authors.

J M WangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
Q P LiuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
M L ZhangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
C GongDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
S D LiuDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
W Y ChenDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
P ShenYinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China.
H B LinYinzhou District Center for Disease Control and Prevention, Ningbo 315101, Zhejiang, China.
P GaoDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.
X TangDepartment of Epidemiology and Biostatistics, Peking University School of Public Health, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the effectiveness of different screening strategies for type 2 diabetes to prevent cardiovascular disease in a community-based Chinese population from economically developed areas based on the Chinese electronic health records research in Yinzhou (CHERRY) study.

methodsA Markov model was used to simulate different systematic diabetes screening strategies, including: (1) screening among Chinese adults aged 40-70 years recommended by the 2020

resultsTotally 289 245 Chinese adults aged 35-70 years without cardiovascular diseases or diagnosed diabetes at baseline were enrolled. In terms of the number of cardiovascular disease events could be prevented, Strategy 1 for systematic diabetes screening among the adults aged 35-70 years was 222 (95%

conclusionSystematic screening for diabetes based on the latest guidelines in economically developed areas of China can reduce cardiovascular events and deaths. However, merely lowering the starting age of screening from 40 to 35 years seems ineffective for preventing cardiovascular disease, while screening strategy for Chinese adults aged 35-70 years with overweight or obesity is recommended to improve efficiency.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2AdultChinaCost-Benefit AnalysisHumansMass ScreeningObesityOverweightUnited StatesCardiovascular diseasesDiabetesMarkov modelScreening

Identifiers

PMID35701121
PMCPMC9197700

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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.