Evidence map›Paper›PMID 32750227›Full record

ArticleJournal of diabetes investigation2021

Development of a clinical risk score for incident diabetes: A 10-year prospective cohort study.

Tae Jung Oh, Jae Hoon Moon, Sung Hee Choi, Young Min Cho, Kyong Soo Park, Nam H Cho, Hak Chul Jang

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of diabetes investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Review
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 at 3 institutions in 1 country.

Tae Jung OhDepartment of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0002-5078-6123
Jae Hoon MoonDepartment of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea.
Sung Hee ChoiDepartment of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea.
Young Min ChoDepartment of Internal Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0002-2331-6126
Kyong Soo ParkDepartment of Internal Medicine, Seoul National University College of Medicine and Seoul National University Hospital, Seoul, Korea.
Nam H ChoDepartment of Preventive Medicine, Ajou University School of Medicine, Suwon, Korea.
Hak Chul JangDepartment of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0002-4188-6536
Seoul National University Bundang Hospital · KRSeoul National University Hospital · KRAjou University · KR

Funding

Korea Centers for Disease Control and Prevention 2001-347-6111-221Korea Centers for Disease Control and Prevention 2002-347-6111-221Korea Centers for Disease Control and Prevention 2003-347-6111-221Korea Centers for Disease Control and Prevention 2004-E71001-00Korea Centers for Disease Control and Prevention 2005-E71001-00Korea Centers for Disease Control and Prevention 2006-E71005-00Korea Centers for Disease Control and Prevention 2006-E71006-00Korea Centers for Disease Control and Prevention 2007-E71001-00Korea Centers for Disease Control and Prevention 2007-E71003-00Korea Centers for Disease Control and Prevention 2008-E71001-00Korea Centers for Disease Control and Prevention 2008-E71005-00Korea Centers for Disease Control and Prevention 2009-E71002-00Korea Centers for Disease Control and Prevention 2009-E71007-00Korea Centers for Disease Control and Prevention 2010-E71001-00Korea Centers for Disease Control and Prevention 2010-E71004-00Korea Centers for Disease Control and Prevention 2011-E71004-00Korea Centers for Disease Control and Prevention 2011-E71008-00Korea Centers for Disease Control and Prevention 2012-E71005-00Korea Centers for Disease Control and Prevention 2012-E71008-00
6 · The paper itself

Abstract

AIMS/

introductionWe developed a self-assessable Korean Diabetes Risk score using the data of the Korean Genome and Epidemiology Study. MATERIALS AND

methodsA total of 8,740 participants without diabetes at baseline were followed up biannually over a period of 10 years. We included variables that were significantly different between participants who developed diabetes mellitus and those who did not in the development cohort at baseline. We assigned a maximum score of 100 to the selected variable in each gender group. Next, the 10-year probability of incident diabetes was calculated and validated in the validation cohort. Finally, we compared the predictive power of Korean Diabetes Risk score with models including fasting plasma glucose or glycated hemoglobin and other cohort models of Atherosclerosis Risk in Communities and Korea National Health and Nutrition Examination Survey.

resultsDuring a median follow-up period of 9.7 years, 22.7% of the participants progressed to diabetes. The Korean Diabetes Risk score included age, living location (urban or rural area), waist circumference, hypertension, family history of diabetes and smoking history. The developed risk score yielded acceptable discrimination for incident diabetes (area under the curve 0.657) and the predictive power was improved when the model included fasting plasma glucose (area under the curve 0.690) or glycated hemoglobin (area under the curve 0.746). In addition, our model predicted incident diabetes more accurately than previous Western or Korean models.

conclusionsThis newly developed self-assessable diabetes risk score is easily applicable to predict the future risk of diabetes even without the necessity for laboratory tests. This score is useful for the Korean diabetes prevention program, because high-risk individuals can be easily screened.

Indexed as

Diabetes Mellitus, Type 2AdultAgedBlood GlucoseFemaleHumansMaleMiddle AgedProspective StudiesRisk AssessmentBlood GlucoseCohort studyRisk modelType 2 diabetes

Identifiers

PMID32750227
PMCPMC8015827
OpenAlexW3047096068

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.