Evidence map›Paper›PMID 30131300›Full record

ArticlePrimary care diabetes2018

Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population.

Antonio Bernabe-Ortiz, Pablo Perel, Juan Jaime Miranda, Liam Smeeth

3 registry-linked trialsOpen access · hybridAbstract read
In one paragraph

Article in Primary care diabetes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
6.8field-weighted citation impact, top 2% 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.

NCT04444570 unknown statusnot on this mapstarted 2021, after this paper: background citation

Continuous Glycemia Monitoring in Perioperative Period in Patients Undergoing Total Knee or Hip Arthroplasty: a Protocol of Observational Study

TypeobservationalSponsorMedical University of WarsawRan2021 to 2022Enrolled100ConditionsOsteoarthritis, Knee, Osteoarthritis, Hip, Hyperglycemia, Diabetes Mellitus, Type 2ArmsContinuous glycemia measuring device (Dexcom) implantation into the subcutaneous tissue
NCT06195566 completednot on this mapstarted 2024, after this paper: background citation

Physics Informed Machine Learning-based Prediction and Reversion of Impaired Fasting Glucose Management

TypeobservationalSponsorJelizaveta SokolovskaRan2024 to 2025Enrolled77ConditionsPrediabetic State, Body Weight, Overweight or Obesity, Life Style, Healthy
NCT06989502 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

GH Project: NIHR150261 - Implementation of the COmmunity HEalth System InnovatiON Project, COHESION-I

TypeinterventionalSponsorUniversidad Peruana Cayetano HerediaRan2025 to 2026Enrolled2,094ConditionsHypertension, Diabetes Mellitus, Neglected Tropical DiseasesArmsCo-creation (2016 to 2019) + Co-design (2023 to 2024), Co-design only (2023 to 2024)
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 113 citations in OpenAlex.

  1. Pooled it
  2. Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population-based studies.Diabetic medicine : a journal of the British Diabetic Association · 2019
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  7. Assessing the Risk of Type 2 Diabetes Among University Employees in Kuwait: A Cross-Sectional Study.International journal of environmental research and public health · 2026
    Article
  8. Article
  9. Article
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  12. Multimorbidity and its association with mental health in an adult population of Peru.Revista peruana de medicina experimental y salud publica · 2025
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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

4 authors at 2 institutions in 2 countries.

Antonio Bernabe-OrtizCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima 18, Peru; Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK. Electronic address: Antonio.Bernabe@upch.pe.
Pablo PerelFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK. Electronic address: Pablo.Perel@lshtm.ac.uk.
Juan Jaime MirandaCRONICAS Center of Excellence in Chronic Diseases, Universidad Peruana Cayetano Heredia, Lima 18, Peru; Department of Medicine, School of Medicine, Universidad Peruana Cayetano Heredia, Lima 31, Peru. Electronic address: Jaime.Miranda@upch.pe.
Liam SmeethFaculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK. Electronic address: Liam.Smeeth@lshtm.ac.uk.
University of London · GBUniversidad Peruana Cayetano Heredia · PE

Funding

Medical Research Council MR/M007405/1Wellcome Trust 098504/Z/12/ZWellcome Trust 103994/Z/14/Z
6 · The paper itself

Abstract

aimsTo assess the diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM and to compare its performance with the Latin-American FINDRISC (LA-FINDRISC) and the Peruvian Risk Score. MATERIALS AND

methodsA population-based study was conducted. T2DM and undiagnosed T2DM were defined using oral glucose tolerance test (OGTT). Risk scores assessed were FINDRISC, LA-FINDRISC and Peruvian Risk Score. Diagnostic accuracy of risk scores was estimated using the c-statistic and the area under the ROC curve (aROC). A simplified version of FINDRISC was also derived.

resultsData from 1609 individuals, mean age 48.2 (SD: 10.6), 810 (50.3%) women, were collected. A total of 176 (11.0%; 95%CI: 9.4%-12.5%) were classified as having T2DM, and 71 (4.7%; 95%CI: 3.7%-5.8%) were classified as having undiagnosed T2DM. Diagnostic accuracy of the FINDRISC (aROC=0.69), LA-FINDRISC (aROC=0.68), and Peruvian Risk Score (aROC=0.64) was similar (p=0.15). The simplified FINDRISC, with 4 variables, had a slightly better performance (aROC=0.71) than the other scores.

conclusionThe performance of FINDRISC, LA-FINDRISC and Peruvian Risk Score for undiagnosed T2DM was similar. A simplified FINDRISC can perform as well or better for undiagnosed T2DM. The FINDRISC may be useful to detect cases of undiagnosed T2DM in resource-constrained settings.

Indexed as

Decision Support TechniquesAdultBiomarkersBlood GlucoseCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleGlucose Tolerance TestHumansMaleMiddle AgedPeruPredictive Value of TestsPrevalenceReproducibility of ResultsRisk AssessmentBiomarkersBlood GlucoseDiabetes mellitus, type 2Diagnostic testGlucose tolerance testRisk assessmentScreening

Identifiers

PMID30131300
PMCPMC6249987
OpenAlexW2886104895

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.