Evidence map›Paper›PMID 32405505›Full record

ArticleJournal of diabetes research2020

The Efficacy of New Chinese Diabetes Risk Score in Screening Undiagnosed Type 2 Diabetes and Prediabetes: A Community-Based Cross-Sectional Study in Eastern China.

Tao Mao, Jiayan Chen, Haijian Guo, Chen Qu, Chu He, Xuepeng Xu, Guoping Yang, Shiqi Zhen, Xiaoning Li

Abstract read
In one paragraph

Article in Journal of diabetes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. 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

9 authors.

Tao MaoDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.ORCID https://orcid.org/0000-0002-9518-5348
Jiayan ChenSchool of Public Health, Nanchang University, Nanchang 330006, China.
Haijian GuoDepartment of Integrated Services, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Chen QuDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Chu HeDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Xuepeng XuDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Guoping YangDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Shiqi ZhenDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Xiaoning LiDepartment of Health Education, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.ORCID https://orcid.org/0000-0002-1608-6887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The New Chinese Diabetes Risk Score (NCDRS) is one of the recommended tools for screening undiagnosed type 2 diabetes in China. However, its performance in detecting undiagnosed diabetes needs to be verified in different community populations. Also, it is unknown whether NCDRS can be used in detecting prediabetes. In the present study, we aimed to evaluate the performance of NCDRS in detecting undiagnosed diabetes and prediabetes among the community residents in eastern China. We applied NCDRS in 7675 community residents aged 18-65 years old in Jiangsu Province. The results showed that the participants with undiagnosed diabetes reported the highest NCDRS value, followed by those with prediabetes (

Indexed as

Blood GlucoseAdolescentAdultAgedChinaCross-Sectional StudiesDiabetes Mellitus, Type 2HumansMass ScreeningMiddle AgedPrediabetic StateRisk AssessmentRisk FactorsYoung AdultBlood Glucose

Identifiers

PMID32405505
PMCPMC7210548

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.