Evidence map›Paper›PMID 36143840›Full record

ArticleMedicina (Kaunas, Lithuania)2022

Current Trends in Knee Arthroplasty: Are Italian Surgeons Doing What Is Expected?

Lorenzo Moretti, Michele Coviello, Federica Rosso, Giuseppe Calafiore, Edoardo Monaco, Massimo Berruto, Giuseppe Solarino

Open access · goldAbstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
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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

7 authors at 3 institutions in 1 country.

Lorenzo MorettiOrthopaedic and Trauma Unit, Department of Basic Medical Sciences, Neurscience and Sense Organs, School of Medicine, AOU Consorziale Policlinico, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124 Bari, Italy.
Michele CovielloOrthopaedic and Trauma Unit, Department of Basic Medical Sciences, Neurscience and Sense Organs, School of Medicine, AOU Consorziale Policlinico, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124 Bari, Italy.ORCID 0000-0003-3585-1000
Federica RossoOrdine Mauriziano, Orthopaedics and Traumatology Department, Largo Turati 62, 10128 Turin, Italy.ORCID 0000-0002-6085-3676
Giuseppe CalafioreDepartment of Orthopaedic and Trauma Surgery, Città di Parma Clinic, Piazzale Athos Maestri 5, 43123 Parma, Italy.
Edoardo MonacoOrthopedic Unit, Kirk Kilgour Sports Injury Centre, S. Andrea Hospital, University of Rome Sapienza, 00189 Rome, Italy.
Massimo BerrutoChirurgia Articolare del Ginocchio, ASST Ospedale Gaetano Pini CTO, 20122 Milano, Italy.
Giuseppe SolarinoOrthopaedic and Trauma Unit, Department of Basic Medical Sciences, Neurscience and Sense Organs, School of Medicine, AOU Consorziale Policlinico, University of Bari "Aldo Moro", Piazza Giulio Cesare 11, 70124 Bari, Italy.
University of Bari Aldo Moro · ITA. O. Ordine Mauriziano di Torino · ITIstituto Ortopedico Gaetano Pini · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study is to evaluate Italian surgeons' behavior during knee arthroplasty. MATERIALS AND

methodsAll orthopedic surgeons who specialized in knee replacement surgeries and were members of the Italian Society of Knee, Arthroscopy, Sport, Cartilage and Orthopedic Technologies (SIGASCOT) between January 2019 and August 2019 were asked to complete a survey on the management of knee arthroplasty. Data were collected, analyzed, and presented as frequencies and percentages.

resultsOne-hundred and seventy-seven surgeons completed the survey and were included in the study. Ninety-five (53.7%) surgeons were under 40 years of age. Eighty-five surgeons (48%) worked in public hospitals and 112 (63.3%) were considered "high volume surgeons", with more than 100 knee implants per year. Postero-stabilized total knee arthroplasty was the most commonly used, implanted with a fully cemented technique by 162 (91.5%) surgeons. Unicompartmental knee arthroplasty (UKA) was a rarer procedure compared to TKA, with 77% of surgeons performing less than 30% of UKAs. Most common TKA pre-operative radiological planning included complete antero-posterior (AP) weight-bearing lower limb radiographs, lateral view and patellofemoral view (used by 91%, 98.9% and 70.6% of surgeons, respectively). Pre-operative UKA radiological images included Rosenberg or Schuss views, patellofemoral view and magnetic resonance imaging (66.1%, 71.8% and 46.3% of surgeons, respectively). One hundred and thirty-two surgeons (74.6%) included an AP weight-bearing lower limb X-ray one year after surgery in the post-operative radiological follow-up. Furthermore, 119 surgeons (67.2%) did not perform a post-operative patellofemoral view because it was not considered useful for radiological follow-up. There was no uniformity in the timing and features of post-operative follow-up, with 13 different combinations.

conclusionsItalian surgeons perform TKA more commonly than UKA. Pre-operative TKA planning is quite uniform rather than UKA planning. Despite literature evidence, there is no agreement on follow-up. It may be useful to create a uniform checklist, including correct timing and exams needed. This analysis is also part of a society surgical educational project for training doctor.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneeSurgeonsHumansKneeKnee JointRetrospective StudiesTreatment Outcomeorthopedic surgeonplanningsurveytotal knee arthroplastyunicompartmental knee arthroplasty

Identifiers

PMID36143840
PMCPMC9504315
OpenAlexW4293730339

What OpenQuestion holds

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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.