Evidence map›Paper›PMID 40510967›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Elbow Joint Anthropometry in Central Indian Population: A Cross-Sectional Study.

Tarun Singh Thakur, Mayank Pratap Singh, Mukesh Kumar Sharma, Tribhuwan Narayan Singh Gaur, Himanshy Rai, Parul Nema, Dhruv Kumar Agrawal

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

7 authors.

Tarun Singh ThakurDepartment of Orthopedics, Government Medical College, CIMS, Ballarpur, Chhattisgarh, India.
Mayank Pratap SinghDepartment of Orthopedics, Government Medical College, Datia, Madhya Pradesh, India.
Mukesh Kumar SharmaDepartment of Orthopedics, Government Medical College, Datia, Madhya Pradesh, India.
Tribhuwan Narayan Singh GaurDepartment of Orthopedics, Government Medical College, Datia, Madhya Pradesh, India.
Himanshy RaiDepartment of Obstetrics and Gynecology, Government Medical College, Datia, Madhya Pradesh, India.
Parul NemaDepartment of Pathology, SRVS Medical College, Shivpuri, Madhya Pradesh, India.
Dhruv Kumar AgrawalDepartment of Orthopedics, Government Medical College, Datia, Madhya Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The carrying angle of the elbow is a critical aspect of upper limb biomechanics, influencing arm movement, and hand precision. This study aims to assess elbow joint parameters, including the carrying angle, articular surface angle, and anatomical alignment to understand normal elbow morphometry and its variations based on age, sex, and side dominance. Materials and Methods: The study included 300 right-hand dominant, healthy volunteers aged 18-50 years. Elbow joint measurements were taken using anteroposterior (AP) and lateral radiographs. The carrying angle, articular surface angle, and other anatomical parameters such as the anterior humeral line (AHL) and radiocapitellar line (RCL) were measured. Results: The mean carrying angle on the dominant side was 10.19 ± 1.175° for males and 13.44 ± 0.610° for females, ( Conclusion: This study provides valuable data on elbow joint anthropometry in the Central Indian population, revealing significant sex-based differences in carrying angle and alignment.

Indexed as

Carrying anglecentral Indian populationelbow joint anthropometry

Identifiers

PMID40510967
PMCPMC12156686

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.