Evidence map›Paper›PMID 34388106›Full record

ArticleCanadian journal of surgery. Journal canadien de chirurgie2021

Intraoperative measurement of acetabular component position using imageless navigation during revision total hip arthroplasty.

Xin Yu Mei, Ali Etemad-Rezaie, Oleg A Safir, Allan E Gross, Paul R Kuzyk

Abstract readEvaluation Study
In one paragraph

Article in Canadian journal of surgery. Journal canadien de chirurgie, 2021. 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
–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

5 citing papers in PubMed.

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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.

Xin Yu MeiFrom the Division of Orthopaedic Surgery, Mount Sinai Hospital, Toronto, Ont. xmei@qmed.ca.
Ali Etemad-RezaieFrom the Division of Orthopaedic Surgery, Mount Sinai Hospital, Toronto, Ont.
Oleg A SafirFrom the Division of Orthopaedic Surgery, Mount Sinai Hospital, Toronto, Ont.
Allan E GrossFrom the Division of Orthopaedic Surgery, Mount Sinai Hospital, Toronto, Ont.
Paul R KuzykFrom the Division of Orthopaedic Surgery, Mount Sinai Hospital, Toronto, Ont.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcetabular component malposition is a major cause of dislocation following total hip arthroplasty (THA). Intellijoint HIP is an imageless navigation tool that has been shown to provide accurate intraoperative measurement of cup position during primary THA without substantially increasing operative time. However, its accuracy in revision THA has not been evaluated. This study therefore aims to assess the accuracy of Intellijoint HIP in measuring cup inclination and anteversion in comparison with computed tomography (CT) during revision THA.

methodsIntellijoint HIP was used to measure the position of the preexisting cup in 53 consecutive patients undergoing revision THA between December 2018 and February 2020. Two authors blinded to the intraoperative navigation measurements also independently measured cup position using preoperative CT according to Murray's radiographic definitions. Pearson correlation coefficients with 95% confidence intervals (CIs), paired

resultsThere was excellent agreement between navigation and CT measurements for both cup inclination (

conclusionImageless navigation demonstrated excellent correlation and agreement with CT measurements for both inclination and anteversion over a wide range of acetabular component positions.

Indexed as

Arthroplasty, Replacement, HipIntraoperative CareReoperationSurgery, Computer-AssistedAdultAgedAged, 80 and overCohort StudiesFemaleHip JointHumansMaleMiddle AgedTomography, X-Ray Computed

Identifiers

PMID34388106
PMCPMC8519496

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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.