Evidence map›Paper›PMID 39734854›Full record

ArticleMedical journal, Armed Forces India2024

External validation of Prediabetes Risk Test in Indian population for screening prediabetes.

Radhika Aditya Jadhav, G Arun Maiya, Shashikiran Umakanth, K N Shivashankara

Abstract read
In one paragraph

Article in Medical journal, Armed Forces India, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Radhika Aditya JadhavPhD Scholar, Centre for Diabetic Foot Care & Research (Physiotherapy), Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India.
G Arun MaiyaDean & Professor, Centre for Diabetic Foot Care & Research (Physiotherapy), Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Shashikiran UmakanthProfessor & Head (Medicine), Dr. TMA Pai Hospital, Melaka Manipal Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.
K N ShivashankaraProfessor & Unit Head (Medicine), Kasturba Medical College, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Prediabetes Risk Test (PRT) has been found valid in the Western population for screening prediabetes. However, ethnicity, race, geographical and other biological characteristics have been linked to the development of prediabetes. There is a dearth of literature on the external validity of PRT in the Indian population. So, the objective of this study was to assess the external validity of the PRT in the Indian population for screening prediabetes. Methods: The study contained 522 participants aged between 18 and 60 years. The medical history, physical activity level and anthropometric measures were assessed. Prediabetes was diagnosed using fasting blood sugar and HbA Results: The study found that the sensitivity of PRT was 48.1%, specificity 95.5%, positive predictive value 66.1% and negative predictive value 90.9% for screening prediabetes in the Indian population. Receiver operating curve analysis revealed that the optimum cut-off of PRT was around 3 for Indians. Conclusion: The results showed that PRT might not be useful in the Indian population to identify the true positives of prediabetes as it has a sensitivity of 48.1%. However, it can be helpful to identify the true negatives as the specificity is 95.5%. Further study is required to modify PRT for the Indian context to make it more appropriate for the Indian population.

Indexed as

Centre for Disease control and preventionDiabetes riskExternal validationPrediabetesPrediction model

Identifiers

PMID39734854
PMCPMC11670613

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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 OpenQuestion graph.