Evidence map›Paper›PMID 35862370›Full record

ArticlePloS one2022

Translation and performance of the Finnish Diabetes Risk Score for detecting undiagnosed diabetes and dysglycaemia in the Indonesian population.

M Rifqi Rokhman, Bustanul Arifin, Zulkarnain Zulkarnain, Satibi Satibi, Dyah Aryani Perwitasari, Cornelis Boersma, Maarten J Postma, Jurjen van der Schans

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

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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 at 4 institutions in 2 countries.

M Rifqi RokhmanDepartment of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-0608-3084
Bustanul ArifinDepartment of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-2303-310X
Zulkarnain ZulkarnainFaculty of Medicine, Universitas Syiah Kuala, Banda Aceh, Indonesia.
Satibi SatibiFaculty of Pharmacy, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Dyah Aryani PerwitasariFaculty of Pharmacy, Universitas Ahmad Dahlan, Yogyakarta, Indonesia.ORCID 0000-0002-2638-6664
Cornelis BoersmaDepartment of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0002-1190-2638
Maarten J PostmaDepartment of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
Jurjen van der SchansDepartment of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.ORCID 0000-0001-6170-1191
University Medical Center Groningen · NLUniversitas Ahmad Dahlan · IDUniversitas Gadjah Mada · IDUniversitas Syiah Kuala · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A diabetes risk score cannot directly be translated and applied in different populations, and its performance should be evaluated in the target population. This study aimed to translate the Finnish Diabetes Risk Score (FINDRISC) instrument and compare its performance with the modified version for detecting undiagnosed type 2 diabetes mellitus (T2DM) and dysglycaemia among the Indonesian adult population. Forward and backward translations were performed and followed by cultural adaptation. In total, 1,403 participants were recruited. The FINDRISC-Bahasa Indonesia (FINDRISC-BI) was scored according to the original FINDRISC instrument, while a Modified FINDRISC-BI was analyzed using a specific body mass index and waist circumference classification for Indonesians. The area under the receiver operating characteristic curve, sensitivity, specificity, and the optimal cut-offs of both instruments were estimated. The area under the receiver operating characteristic curve for detecting undiagnosed T2DM was 0.73 (0.67-0.78) for the FINDRISC-BI with an optimal cut-off score of ≥9 (sensitivity = 63.0%; specificity = 67.3%) and 0.72 (0.67-0.78) for the Modified FINDRISC-BI with an optimal cut-off score of ≥11 (sensitivity = 59.8%; specificity = 74.9%). The area under the receiver operating characteristic curve for detecting dysglycaemia was 0.72 (0.69-0.75) for the FINDRISC-BI instrument with an optimal cut-off score of ≥8 (sensitivity = 66.4%; specificity = 67.0%), and 0.72 (0.69-0.75) for the Modified FINDRISC-BI instrument with an optimal cut-off score ≥9 (sensitivity = 63.8%; specificity = 67.6%). The Indonesian version of the FINDRISC instrument has acceptable diagnostic accuracy for screening people with undiagnosed T2DM or dysglycaemia in Indonesia. Modifying the body mass index and waist circumference classifications in the Modified FINDRISC-BI results in a similar diagnostic accuracy; however, the Modified FINDRISC-BI has a higher optimal cut-off point than the FINDRISC-BI. People with an above optimal cut-off score are suggested to take a further blood glucose test.

Indexed as

Diabetes Mellitus, Type 2AdultBlood GlucoseFinlandHumansIndonesiaRisk FactorsROC CurveBlood Glucose

Identifiers

PMID35862370
PMCPMC9302803
OpenAlexW4286498617

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.