Evidence map›Paper›PMID 26413540›Full record

ArticleBioMed research international2015

Morphometric Evaluation of Korean Femurs by Geometric Computation: Comparisons of the Sex and the Population.

Ho-Jung Cho, Dai-Soon Kwak, In-Beom Kim

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
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  13. Morphometry of Proximal Femur in Indian Population.Journal of clinical and diagnostic research : JCDR · 2017
    Article
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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 at 1 institution in 1 country.

Ho-Jung ChoDepartment of Anatomy, Catholic Institute for Applied Anatomy, The Catholic University of Korea, 222 Banpo-Daero, Seocho-gu, Seoul 137-701, Republic of Korea.
Dai-Soon KwakDepartment of Anatomy, Catholic Institute for Applied Anatomy, The Catholic University of Korea, 222 Banpo-Daero, Seocho-gu, Seoul 137-701, Republic of Korea.
In-Beom KimDepartment of Anatomy, Catholic Institute for Applied Anatomy, The Catholic University of Korea, 222 Banpo-Daero, Seocho-gu, Seoul 137-701, Republic of Korea.
Catholic University of Korea · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We measured 28 parameters of 202 femurs from Koreans by an automated geometric computation program using 3D models generated from computed tomography images. The measurement parameters were selected with reference to physical and forensic anthropology studies as well as orthopedic implant design studies. All measurements were calculated using 3D reconstructions on a computer using scientific computation language. We also analyzed sex and population differences by comparison with data from previous studies. Most parameters were larger in males than in females. The height, head diameter, head center offset, and chord length of the diaphysis, most parameters in the distal femur, and the isthmic width of the medullary canal were smaller in Koreans than in other populations. However, the neck-shaft angle, subtense, and width of the intercondylar notch in the distal femur were larger than those in other populations. The results of this study will be useful as a reference for physical and forensic anthropology as well as the design of medical devices suitable for Koreans.

Indexed as

AnthropometryFemaleFemurHumansImaging, Three-DimensionalMaleMiddle AgedReference ValuesRepublic of Korea

Identifiers

PMID26413540
PMCPMC4564606
OpenAlexW1700566984

What OpenQuestion holds

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LicenceCC BY
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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.