Evidence map›Paper›PMID 28511506›Full record

ArticleJournal of clinical and diagnostic research : JCDR2017

An Assessment of Correlation between Dermatoglyphic Patterns and Sagittal Skeletal Discrepancies.

Susha Miriam George, Biju Philip, Deepika Madathody, Manu Mathew, Jose Paul, Johnson Prakash Dlima

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Article in Journal of clinical and diagnostic research : JCDR, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. AnJournal of pharmacy & bioallied sciences · 2025
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Susha Miriam GeorgeConsultant, Department of Orthodontics and Dentofacial Orthopedics, Vettikattil Dental Clinic, Kerala, India.
Biju PhilipSenior Lecturer, Department of Periodotics, Annoor Dental College and Hospital, Muvattupuzha, Kerala, India.
Deepika MadathodyProfessor, Department of Orthodontics and Dentofacial Orthopedics, Mar Baselios Dental College, Kothamangalam, Kerala, India.
Manu MathewSenior Lecturer, Department of Orthodontics and Dentofacial Orthopedics, Mar Baselios Dental College, Kothamangalam, Kerala, India.
Jose PaulProfessor and Head, Department of Periodontics, Annoor Dental College and Hospital, Muvattupuzha, Kerala, India.
Johnson Prakash DlimaProfessor, Department of Periodontics, Annoor Dental College and Hospital, Muvattupuzha, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionInvestigators over years have been fascinated by dermatoglyphic patterns which has led to the development of dermatoglyphics as a science with numerous applications in various fields other than being the best and most widely used method for personal identification.

aimTo assess the correlation between dermatoglyphic patterns and sagittal skeletal discrepancies. MATERIALS AND

methodsA total of 180 patients, aged 18-40 years, were selected from those who attended the outpatient clinic of the Deparment of Orthodontics and Dentofacial Orthopedics, Mar Baselios Dental College, Kothamangalam, Kerala, India. The fingerprints of both hands were taken by ink and stamp method after proper hand washing. The patterns of arches, loops and whorls in fingerprints were assessed. The total ridge count was also evaluated. Data was also sent to the fingerprint experts for expert evaluation. The sagittal jaw relation was determined from the patient's lateral cephalogram. The collected data was then statistically analyzed using Chi-square tests, ANOVA and Post-hoc tests and a Multinomial regression prediction was also done.

resultsA significant association was observed between the dermatoglyphic pattern exhibited by eight fingers and the sagittal skeletal discrepancies (p<0.05). An increased distribution of whorl pattern was observed in the skeletal Class II with maxillary excess group and skeletal Class II with mandibular deficiency group while an increased distribution of loop pattern was seen in the skeletal Class III with mandibular excess group and skeletal Class III with maxillary deficiency group. Higher mean of total ridge count was also seen in the groups of skeletal Class II with maxillary excess and skeletal Class II with mandibular deficiency. Multinomial regression predicting skeletal pattern with respect to the fingerprint pattern showed that the left thumb impression fits the best model for predicting the skeletal pattern.

conclusionThere was a significant association between dermatoglyphic patterns and sagittal skeletal discrepancies. Dermatoglyphics could serve as a cost effective screening tool of these craniofacial problems.

Indexed as

FingerprintsJaw abnormalitiesMalocclusionScreening

Identifiers

PMID28511506
PMCPMC5427432

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