Evidence map›Paper›PMID 33014142›Full record

ArticleDiabetology & metabolic syndrome2020

Diagnostic accuracy of the Finnish Diabetes Risk Score for the prediction of undiagnosed type 2 diabetes, prediabetes, and metabolic syndrome in the Lebanese University.

Maher Abdallah, Safa Sharbaji, Marwa Sharbaji, Zeina Daher, Tarek Faour, Zeinab Mansour, Mohammad Hneino

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 20% 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, 2 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. 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
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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

7 authors at 1 institution in 1 country.

Maher AbdallahFaculty of Public Health, Lebanese University, Hadat, Beirut, Lebanon.
Safa SharbajiDepartment of Nutrition and Dietetics, Faculty of Public Health, Lebanese University, Hadat, Beirut, Lebanon.
Marwa SharbajiDepartment of Nutrition and Dietetics, Faculty of Public Health, Lebanese University, Hadat, Beirut, Lebanon.
Zeina DaherFaculty of Public Health, Lebanese University, Hadat, Beirut, Lebanon.
Tarek FaourMedical Laboratory, Lebanese University Medical Center, Lebanese University, Hadat, Beirut, Lebanon.
Zeinab MansourMedical Laboratory, Lebanese University Medical Center, Lebanese University, Hadat, Beirut, Lebanon.
Mohammad HneinoSciences Department, Faculty of Public Health, Lebanese University Hadat, Hadat, Beirut, Lebanon.
Lebanese University · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk scores were mainly proved to predict undiagnosed type 2 diabetes mellitus (UT2DM) in a non-invasive manner and to guide earlier clinical treatment. The objective of the present study was to assess the performance of the Finnish Diabetes Risk Score (FINDRISC) for detecting three outcomes: UT2DM, prediabetes, and the metabolic syndrome (MS).

methodsThis was a prospective, cross-sectional study during which employees aged between 30 and 64, with no known diabetes and working within the faculties of the Lebanese University (LU) were conveniently recruited. Participants completed the FINDRISC questionnaire and their glucose levels were examined using both fasting blood glucose (FBG) and oral glucose tolerance tests (OGTT). Furthermore, they underwent lipid profile tests with anthropometry.

resultsOf 713 subjects, 397 subjects (55.2% female; 44.8% male) completed the blood tests and thus were considered as the sample population. 7.6% had UT2DM, 22.9% prediabetes and 35.8% had MS, where men had higher prevalence than women for these 3 outcomes (

conclusionThe FINDRISC can be considered a simple, quick, inexpensive, and non-invasive instrument to use in a Lebanese community of working people who are unaware of their health status and who usually report being extremely busy because of their daily hectic work for the screening of UT2DM and MS. However, it poorly screens for prediabetes in this context.

Indexed as

AUROCCutoffFBGFINDRISCMSOGTTPrediabetesScreeningUT2DMWC

Identifiers

PMID33014142
PMCPMC7526372
OpenAlexW3091366435

What Socratic 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 Socratic graph.