Evidence map›Paper›PMID 39110713›Full record

ArticlePloS one2024

External validation of Finnish diabetes risk score (FINDRISC) and Latin American FINDRISC for screening of undiagnosed dysglycemia: Analysis in a Peruvian hospital health care workers sample.

Marlon Yovera-Aldana, Edward Mezones-Holguín, Rosa Agüero-Zamora, Lucy Damas-Casani, Becky Uriol-Llanos, Frank Espinoza-Morales, Percy Soto-Becerra, Ray Ticse-Aguirre

Abstract readValidation Study
In one paragraph

Article in PloS one, 2024. 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

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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.

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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

8 authors.

Marlon Yovera-AldanaGrupo de Investigación en Neurociencias, Efectividad Clínica y Salud Pública, Universidad Científica del Sur, Lima, Perú.ORCID 0000-0002-1947-7736
Edward Mezones-HolguínCentro de Excelencia en Investigaciones Económicas y Sociales en Salud, Universidad San Ignacio de Loyola, Lima, Perú.
Rosa Agüero-ZamoraFacultad de Medicina, Universidad Nacional Federico Villarreal, Lima, Perú.
Lucy Damas-CasaniServicio de Endocrinología, Hospital María Auxiliadora, Lima, Perú.
Becky Uriol-LlanosRed de Eficacia Clinica y Sanitaria, Lima, Perú.
Frank Espinoza-MoralesCentro de Tecnologías Aplicadas a la diabetes, CAVIMEDIC, Lima, Perú.
Percy Soto-BecerraInstituto de Evaluación en Tecnologías en Salud e Investigación (IETSI), Lima, Perú.ORCID 0000-0001-5332-9254
Ray Ticse-AguirreUniversidad Continental, Huancayo, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsTo evaluate the external validity of Finnish diabetes risk score (FINDRISC) and Latin American FINDRISC (LAFINDRISC) for undiagnosed dysglycemia in hospital health care workers.

methodsWe carried out a cross-sectional study on health workers without a prior history of diabetes mellitus (DM). Undiagnosed dysglycemia (prediabetes or diabetes mellitus) was defined using fasting glucose and two-hour oral glucose tolerance test. LAFINDRISC is an adapted version of FINDRISC with different waist circumference cut-off points. We calculated the area under the receptor operational characteristic curve (AUROC) and explored the best cut-off point.

resultsWe included 549 participants in the analysis. The frequency of undiagnosed dysglycemia was 17.8%. The AUROC of LAFINDRISC and FINDRISC were 71.5% and 69.2%; p = 0.007, respectively. The optimal cut-off for undiagnosed dysglycemiaaccording to Index Youden was ≥ 11 in LAFINDRISC (Sensitivity: 78.6%; Specificity: 51.7%) and ≥12 in FINDRISC (Sensitivity: 70.4%; Specificity: 53.9%).

conclusionThe discriminative capacity of both questionnaires is good for the diagnosis of dysglycemia in the healthcare personnel of the María Auxiliadora hospital. The LAFINDRISC presented a small statistical difference, nontheless clinically similar, since there was no difference by age or sex. Further studies in the general population are required to validate these results.

Indexed as

Diabetes MellitusMass ScreeningAdultBlood GlucoseCross-Sectional StudiesFemaleGlucose Tolerance TestHealth PersonnelHumansMaleMiddle AgedPeruPrediabetic StateRisk FactorsBlood Glucose

Identifiers

PMID39110713
PMCPMC11305586

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