Evidence map›Paper›PMID 40655817›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Dermatoglyphics: A Forensic Tool to Predict Type 2 Diabetes Mellitus and Gender Identification among Kuwaiti Population: A Cross-Sectional Observational Study.

Nishath Sayed Abdul, Teef Adel Gholoum, Latefah Abdulrahman Alali, Fatmah Tarahib Almuteri, Estabraq Osama Almeshal, Wadha Hassan Alsehali

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Nishath Sayed AbdulDepartment of OMFS and Diagnostic Sciences, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia.
Teef Adel GholoumDepartment of OMFS and Diagnostic Sciences, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia.
Latefah Abdulrahman AlaliDepartment of OMFS and Diagnostic Sciences, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia.
Fatmah Tarahib AlmuteriDepartment of OMFS and Diagnostic Sciences, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia.
Estabraq Osama AlmeshalDepartment of OMFS and Diagnostic Sciences, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia.
Wadha Hassan AlsehaliDepartment of OMFS and Diagnostic Sciences, College of Medicine and Dentistry, Riyadh Elm University, Riyadh, Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Type 2 diabetes mellitus, with increasing global prevalence and genetic influence, may be predicted using dermatoglyphics, a reliable forensic tool. This study evaluated dermatoglyphic patterns to identify type 2 diabetes in the Kuwaiti population. Materials and Methods: A cross-sectional observational study with 100 participants (50 diabetics, 50 controls) analysed fingerprint patterns (loops, whorls, arches). Results: 500 fingerprints were examined (250 diabetic, 250 control). Among diabetics, there were 21 males (42%) and 29 females (58%), while the control group included 20 males (40%) and 30 females (60%). The diabetic group showed a predominant loop pattern (48%), whereas the control group commonly exhibited the whorl pattern. Diabetic males mostly showed loops, and non-diabetic males showed whorls. Diabetic females had predominantly whorl patterns, while non-diabetic females showed loops. Conclusion: Loop patterns were more frequent in diabetics, while the whorls were common in non-diabetics, indicating predictive potential for type 2 diabetes.

Indexed as

Controlsdiabetes mellitusethnicityfingerprintKuwaiti population

Identifiers

PMID40655817
PMCPMC12244909

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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.