Evidence map›Paper›PMID 37071347›Full record

ArticleForensic science, medicine, and pathology2024

Greulich and Pyle atlas: a non-reliable skeletal maturity assessment method in the North Indian population.

Praveen Kumar Tiwari, Amit Kumar Nayak, Ashish Verma, Surendra Kumar Pandey, Anand Mishra, Deepa Devadas, Ashish Yadav, Mayank Gupta

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Article in Forensic science, medicine, and pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
4.8field-weighted citation impact, top 6% of its field
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

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Praveen Kumar TiwariDepartment of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
Amit Kumar NayakDepartment of Anatomy, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
Ashish VermaDepartment of Radiology and Radio-Imaging, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
Surendra Kumar PandeyDepartment of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
Anand MishraDepartment of Anatomy, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
Deepa DevadasDepartment of Anatomy, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
Ashish YadavDepartment of Bio-Statistic, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India.
Mayank GuptaDepartment of Forensic Medicine, Institute of Medical Sciences, Banaras Hindu University, Varanasi, 221005, India. mayankgupta@bhu.ac.in.ORCID 0000-0003-1053-4527
Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Forensic age assessments are crucial in the evaluation of criminal responsibility and preventing false age claims. Of all the methods available, the Greulich and Pyle (GP) atlas is most commonly used for age estimation purposes. Therefore, the current study sought to analyze the reliability and applicability of the GP standard and, additionally, to determine any possible association between the socioeconomic status (SES), food habits, and estimated skeletal maturity in the North Indian population. The study included 627 (334 males and 293 females) healthy children up to 19 years of age with varying SES and food habits. The skeletal age (SA) was estimated by three different evaluators using the GP atlas. The chronological mean age (CA) and SA were compared in different age cohorts. A paired t-test and a Pearson chi-square test were applied to show the difference between CA and estimated SA and the association of skeletal maturity with SES and food habits. The estimated skeletal age in males was retarded by 0.142 years or 1.72 months (p ≤ 0.05), whereas in females, it was retarded by 0.259 years or 3.12 months (p ≤ 0.05). In males, the GP method has significantly underestimated SA in age cohorts 3-4, 4-5, 6-7, 7-8, 8-9, and 12-13, whereas it overestimated in 10-11 and 18-19 years. However, in females, the SA was significantly underestimated in age groups 10-11, 12-13, and 14-15, respectively. Estimated skeletal maturity had no significant association with SES and food habits. The current study concludes that the GP atlas may not be applicable to North India's population. The observed difference in assessed skeletal maturity may be due to geographical region, genetics, hormonal effects, etc., which require further investigation. Hence, population-specific standards are necessary to determine the bone age of Indian children accurately.

Indexed as

Age Determination by SkeletonSouth Asian PeopleAdolescentChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleReproducibility of ResultsYoung AdultChronological ageFood habitsGreulich and PylePopulationSkeletal ageSocioeconomic status (SES)

Identifiers

PMID37071347
OpenAlexW4366235203

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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.