Evidence map›Paper›PMID 36598093›Full record

ArticleBone & joint open2023

Iliopsoas tendonitis after total hip arthroplasty : an improved detection method with applications to preoperative planning.

Max Hardwick-Morris, Joshua Twiggs, Brad Miles, Rami M A Al-Dirini, Mark Taylor, Jitendra Balakumar, William L Walter

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bone & joint open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

5 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Surgical Approaches in Total Hip Arthroplasty.Journal of orthopaedics and sports medicine · 2023
    Article
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 at 3 institutions in 1 country.

Max Hardwick-Morris360 Med Care, Sydney, Australia.ORCID 0000-0001-8502-9088
Joshua Twiggs360 Med Care, Sydney, Australia.ORCID 0000-0003-0063-0435
Brad Miles360 Med Care, Sydney, Australia.ORCID 0000-0002-3016-8168
Rami M A Al-DiriniFlinders University, Adelaide, Australia.ORCID 0000-0001-6412-6057
Mark TaylorFlinders University, Adelaide, Australia.ORCID 0000-0001-7842-6472
Jitendra BalakumarMelbourne Orthopaedic Group, Melbourne, Australia.ORCID 0000-0003-3822-167X
William L WalterInstitute of Bone and Joint Research, Kolling Institute, The University of Sydney, Sydney, Australia.ORCID 0000-0002-9413-0871
Flinders University · AUHollywood Orthopaedic Group · AUThe University of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsIliopsoas impingement occurs in 4% to 30% of patients after undergoing total hip arthroplasty (THA). Despite a relatively high incidence, there are few attempts at modelling impingement between the iliopsoas and acetabular component, and no attempts at modelling this in a representative cohort of subjects. The purpose of this study was to develop a novel computational model for quantifying the impingement between the iliopsoas and acetabular component and validate its utility in a case-controlled investigation.

methodsThis was a retrospective cohort study of patients who underwent THA surgery that included 23 symptomatic patients diagnosed with iliopsoas tendonitis, and 23 patients not diagnosed with iliopsoas tendonitis. All patients received postoperative CT imaging, postoperative standing radiography, and had minimum six months' follow-up. 3D models of each patient's prosthetic and bony anatomy were generated, landmarked, and simulated in a novel iliopsoas impingement detection model in supine and standing pelvic positions. Logistic regression models were implemented to determine if the probability of pain could be significantly predicted. Receiver operating characteristic curves were generated to determine the model's sensitivity, specificity, and area under the curve (AUC).

resultsHighly significant differences between the symptomatic and asymptomatic cohorts were observed for iliopsoas impingement. Logistic regression models determined that the impingement values significantly predicted the probability of groin pain. The simulation had a sensitivity of 74%, specificity of 100%, and an AUC of 0.86.

conclusionWe developed a computational model that can quantify iliopsoas impingement and verified its accuracy in a case-controlled investigation. This tool has the potential to be used preoperatively, to guide decisions about optimal cup placement, and postoperatively, to assist in the diagnosis of iliopsoas tendonitis.Cite this article:

Indexed as

acetabular componentsbony anatomyfemoral headsgroin painIliopsoas impingementIliopsoas tendonitisLogistic regression modelsprostheticretrospective cohort studySoft tissuestanding radiographytendonitisTHATotal hip arthroplastytotal hip arthroplasty (THA)

Identifiers

PMID36598093
PMCPMC9887341
OpenAlexW4313488333

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.