Evidence map›Paper›PMID 33559630›Full record

ArticleActa bio-medica : Atenei Parmensis2020

Decision/therapeutic algorithm for acetabular revisions.

Alessandro Aprato, Matteo Olivero, Paolo Di Benedetto, Alessandro Massè

Abstract read
In one paragraph

Article in Acta bio-medica : Atenei Parmensis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Alessandro ApratoUniversità degli studi di Torino. ale_aprato@hotmail.com.
Matteo OliveroUniversity of Turin, Turin, Italy. olivero.mtt@gmail.com.
Paolo Di BenedettoUniversity of Udine, Udine, Italy. paodibenedetto@gmail.com.
Alessandro MassèUniversity of Turin, Turin. Alessandro.masse@unito.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimPaprosky's classification is currently the most used classification for periacetabular bone defects but its validity and reliability are widely discussed in literature. Aim of this study was to introduce a new CT-based Acetabular Revision Algorithm (CT-ARA) and to evaluate its validity. The CT-ARA is based on the integrity of five anatomical structures that support the acetabulum. Classification's groups are defined by the deficiency of one or more of these structures, treatment is based on those groups.

methodsIn 105 patients the validity of the CT-ARA was retrospectively evaluated using preoperative X-rays, CT-scan and surgery reports. The surgical indications suggested by Paprosky's algorithm and by CT-ARA were compared with the final surgical technique. Patients were divided into two groups according to time of surgery.

resultsWe reported concordance of indications in 56,2% of cases with the Paprosky's algorithm and in 63,8% of cases with the CT-ARA. Analysing only the most recent surgeries (group 2), we reported even higher difference of concordance (67,3% Paprosky's algorithm and 83,7% CT-ARA). The concordance of the CT-ARA among Group 1 and Group 2 resulted significantly different.

conclusionsthe CT-ARA may be a useful tool for the preoperative decision-making process and showed more correlation with performed surgery compared to the Paprosky's algorithm.

Indexed as

Arthroplasty, Replacement, HipHip ProsthesisAcetabulumAlgorithmsHumansReoperationReproducibility of ResultsRetrospective Studies

Identifiers

PMID33559630
PMCPMC7944694

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