Evidence map›Paper›PMID 41245287›Full record

ReviewIndian journal of orthopaedics2025

Optimal Methods for Measuring Knee Aspect Ratio: A Scoping Review of Knee Morphometry Techniques and Comparison with Manual Anthropometry of Indian Knees.

Samuel Frank Stephen, Sharon Cynthia David, Ivan James Prithishkumar

Abstract readReview
In one paragraph

Review in Indian journal of orthopaedics, 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

3 authors.

Samuel Frank StephenDepartment of Anatomy, GIMSR, Visakhapatnam, Andhra Pradesh 530045 India.ORCID 0000-0002-5801-0573
Sharon Cynthia DavidDepartment of Community Medicine, GIMSR, Visakhapatnam, Andhra Pradesh 530045 India.
Ivan James PrithishkumarDepartment of Basic Sciences, College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences, Dubai, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Current methods for measuring the knee aspect ratio vary in accuracy. The objective of the study was to conduct a scoping review of the mean values of aspect ratio using Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) among Indians, and, to compare these results with those of a descriptive study assessing the same using manual anthropometry. Methodology: The scoping review was conducted to ascertain the mean aspect ratio among adult Indians, obtained using CT or MRI between 2004 and 2024, and published in English. Studies were eligible for inclusion if they presented mean values for anteroposterior (fAP, tAP), mediolateral diameters (fML, tML) and aspect ratios (fAR, tAR) for femur and tibia obtained by CT or MRI. PubMed, Scopus, Google Scholar, Web of Science, and Cochrane Library were screened and exported using Zotero 7.0.16 and Microsoft Excel. For comparison with manual morphometry, cadaveric dry bones of femurs and tibias available at two teaching institutions were measured with a Sliding Digital Caliper (ROBUST, Germany). Results: Out of 144 studies from the five databases, six publications that describe 736 femurs and 680 tibias were included in the review. The aspect ratios from these studies were compared with the mean of 177 femurs and 161 tibias measured by manual morphometry. CT with three-dimensional modeling proved to be less variable than MRI and closer to manual anthropometry. Conclusion: The study suggests that CT scans can be used as a valid measurement tool for assessing knee morphometry while choosing prostheses for Indian patients.

Indexed as

ArthroplastyAspect ratioImagingKneeMorphometry

Identifiers

PMID41245287
PMCPMC12615896

What OpenQuestion holds

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Registered trials

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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.