Evidence map›Paper›PMID 35162404›Full record

ArticleInternational journal of environmental research and public health2022

Can Hip-Knee Line Angle Distinguish the Size of Pelvic Incidence?-Development of Quick Noninvasive Assessment Tool for Pelvic Incidence Classification.

Shota Yamada, Takeshi Ebara, Toru Uehara, Taro Matsuki, Shingo Kimura, Yuya Satsukawa, Akira Yoshihara, Kazuji Aoki, Atsushi Inada, Michihiro Kamijima

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Shota YamadaDepartment of Occupational and Environmental Health, Graduate School of Medical Sciences, Nagoya City University, Nagoya 4678601, Japan.ORCID 0000-0002-0275-3132
Takeshi EbaraDepartment of Occupational and Environmental Health, Graduate School of Medical Sciences, Nagoya City University, Nagoya 4678601, Japan.ORCID 0000-0003-3342-1058
Toru UeharaDepartment of Rehabilitation, Nagoya City University West Medical Center, Nagoya 4628508, Japan.ORCID 0000-0002-3721-733X
Taro MatsukiDepartment of Occupational and Environmental Health, Graduate School of Medical Sciences, Nagoya City University, Nagoya 4678601, Japan.ORCID 0000-0003-2935-3064
Shingo KimuraDepartment of Rehabilitation, Nagoya City University West Medical Center, Nagoya 4628508, Japan.
Yuya SatsukawaDepartment of Rehabilitation, Nagoya City University West Medical Center, Nagoya 4628508, Japan.
Akira YoshiharaDepartment of Rehabilitation, Nagoya City University West Medical Center, Nagoya 4628508, Japan.
Kazuji AokiFaculty of Rehabilitation Sciences, Nagoya Gakuin University, Nagoya 4568612, Japan.
Atsushi InadaSpine Center, Department of Orthopedic Surgery, Nagoya City University West Medical Center, Nagoya 4628508, Japan.
Michihiro KamijimaDepartment of Occupational and Environmental Health, Graduate School of Medical Sciences, Nagoya City University, Nagoya 4678601, Japan.ORCID 0000-0003-0670-8790

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to explore effective measurement angles for pelvic incidence (PI) classification and to develop a quick, noninvasive assessment tool for PI classification. We defined five variation types of hip-knee line (HKL) angles and tested the discrimination ability of the receiver operating characteristic (ROC) analysis using 125 photographs of upright standing posture from the right lateral side. ROC analysis revealed an applicable HKL angle defined by the line connecting the most raised part of the buttock and the central point of the knee and the midthigh line. The acceptable cut-off points for discriminating small or large PIs in terms of HKL angle were 18.5° for small PI (sensitivity, 0.91; specificity, 0.79) and 21.5° for large PI discrimination (sensitivity, 0.74; specificity, 0.72). In addition, we devised a quick noninvasive assessment tool for PI classification using the cut-offs of the HKL angle with a view to practical application. The results of intra- and inter-rater reliability ensured a substantial/moderate level of the tool (Cohen's kappa coefficient, 0.79; Fleiss's kappa coefficient, 0.50-0.54). These results revealed that the HKL angle can distinguish the size of the PI with a high/moderate discrimination ability. Furthermore, the tool indicated acceptable inter-/intra-rater reliability for practical applications.

Indexed as

KneeLower ExtremityHumansObserver VariationReproducibility of ResultsStanding Positionanthropometryhip–knee linelow back painpelvic incidencereliabilityROC curve

Identifiers

PMID35162404
PMCPMC8834756

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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.