Evidence map›Paper›PMID 34930357›Full record

ArticleJournal of orthopaedic surgery and research2021

Lateral pillar is the key in supporting pre-collapse osteonecrosis of the femoral head: a finite element model analysis of propensity-score matched cohorts.

Ji Hoon Bahk, Woo-Lam Jo, Seung-Chan Kim, Soon-Yong Kwon, Young Wook Lim

Open access · goldAbstract read
In one paragraph

Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. [Finite element analysis of CT-based lateral classification of Japanese Investigation Committee type C1 osteonecrosis of femoral head and its prognostic value].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026
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  11. [Finite element analysis for predicting osteonecrosis of the femoral head collapse based on the preserved angles].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023
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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

5 authors at 3 institutions in 2 countries.

Ji Hoon BahkDepartment of Orthopedic Surgery, Seoul St. Mary's Hospital, School of Medicine, The Catholic University of Korea, 222, Banpodae-ro, Seocho-gu, Seoul, 06591, South Korea.ORCID http://orcid.org/0000-0002-5578-3220
Woo-Lam JoDepartment of Orthopedic Surgery, Seoul St. Mary's Hospital, School of Medicine, The Catholic University of Korea, 222, Banpodae-ro, Seocho-gu, Seoul, 06591, South Korea.ORCID http://orcid.org/0000-0001-7021-9348
Seung-Chan KimDepartment of Orthopedic Surgery, Eunpyeong St. Mary's Hospital, School of Medicine, The Catholic University of Korea, Seoul, South Korea.ORCID http://orcid.org/0000-0002-1626-5383
Soon-Yong KwonDepartment of Orthopedic Surgery, Seoul St. Mary's Hospital, School of Medicine, The Catholic University of Korea, 222, Banpodae-ro, Seocho-gu, Seoul, 06591, South Korea.ORCID http://orcid.org/0000-0001-5531-956X
Young Wook LimDepartment of Orthopedic Surgery, Seoul St. Mary's Hospital, School of Medicine, The Catholic University of Korea, 222, Banpodae-ro, Seocho-gu, Seoul, 06591, South Korea. albire00@naver.com.ORCID http://orcid.org/0000-0001-5648-9755
The Catholic University of Korea Seoul St. Mary's Hospital · KRCatholic University of Korea · KRSt. Mary's Hospital · US

Funding

Catholic University of Korea ZC21RISI0423Ministry of Science, ICT and Future Planning 2018R1C1B6002653
6 · The paper itself

Abstract

backgroundThis study was designed as a cohort study using propensity-score matching to age, gender, and body mass index (BMI) for finite element model (FEM) analysis from pre-collapse CT images of collapsed and non-collapsed hips. Through FEM analysis, a global graphical output around the hip joint can provide simple impression of stress distribution: concentration or dispersion.

methodsA total of 32 hips with ARCO stage 2 or 3 ONFH who were on follow up for over a one-year period were retrospectively reviewed. 16 hips with no interval progression of collapse were set as the study group, then 16 hips with progression of collapse which required arthroplasty were set as the control group using propensity-score matching. FEM was generated through Mechanical Finder for each patient, then 4500 N of load was applied to 1000 mm

resultsAge, sex, and BMI had no significant differences between the two groups, while location (p = 0.015) was lateral, and size (p = 0.015) was significantly greater in the collapsed group. Non-collapsed hips mostly exhibited stress dispersion allocated to medial and lateral pillars, while collapsed hips exhibited stress concentration focused on the lateral pillar and the primary compression trabecula. (p = 0.001).

conclusionThrough FEM analysis, stress concentration to the lateral pillar and the primary compression trabeculae can be used to predict future collapse in ONFH with high probability. Results provide a simple and intuitive, yet valuable information to aid surgeons. Therefore, especially for young patients, holding out the lateral pillar through joint preserving procedures might be the key in preventing further collapse.

Indexed as

Femur HeadFemur Head NecrosisAdultAgedCohort StudiesFemaleFinite Element AnalysisHumansMaleMiddle AgedRetrospective StudiesFemoral head collapseFinite element analysisLateral pillarOsteonecrosis of the femoral headPropensity-matched score

Identifiers

PMID34930357
PMCPMC8686362
OpenAlexW4226198098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.