Evidence map›Paper›PMID 37091019›Full record

ArticleJournal of family medicine and primary care2023

Diabetic post-covid mucormycosis: A dermatoglyphic prediction.

Aradhana Sanga, Rita Kumari, Babita Kujur, Rajiv Ranjan, Ashok Kumar Dubey

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2023. 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

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Aradhana SangaDepartment of Anatomy, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Rita KumariDepartment of Anatomy, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Babita KujurDepartment of Anatomy, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Rajiv RanjanDepartment of Anatomy, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Ashok Kumar DubeyDepartment of Anatomy, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: To identify the characteristic pattern/parameter among diabetic post-covid mucormycosis patients which may further help in identifying such susceptible patients in a much earlier course of the disease. Materials and Methods: The study was done with 30 diabetic patients (21 males and 9 females) admitted in RIMS Ranchi during the second wave of Covid-19 for post-covid complications. Palm and fingerprint pattern was taken by ink and pad method to measure the qualitative and quantitative parameters. Result: Diabetic post-covid mucormycosis patients were found to have predominantly whorl pattern in males, loop in females, and C-line pattern absent in 36.6%. Proximal axial triradii with ulnar deviation was 76.6%. All the ridge counts (except ab ridge count of right hand) when compared with hypothesized value were found to be significant with Conclusion: All the ridge counts (except ab ridge count of right hand) were found to be a reliable parameter for the diagnosis of diabetic post-covid mucormycosis. ATD angle known to be the most reliable parameter for diagnosis of diabetes mellitus in dermatoglyphics is found to be nonreliable with respect to diabetes post-covid mucormycosis.

Indexed as

ATD angleCovid-19 mucormycosisdiabetic dermatoglyphic

Identifiers

PMID37091019
PMCPMC10114581

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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.