Evidence map›Paper›PMID 37316574›Full record

ReviewOperative Orthopadie und Traumatologie2023

[Osteotomies around the knee: preoperative planning using CT-based three-dimensional analysis, patient-specific cutting and reduction guides].

Lazaros Vlachopoulos, Sandro F Fucentese

Abstract readEnglish AbstractReview
In one paragraph

Review in Operative Orthopadie und Traumatologie, 2023. 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

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

1 citing paper in PubMed.

  1. 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

2 authors.

Lazaros VlachopoulosKlinik für Orthopädie, Universitätsklinik Balgrist, Universität Zürich, Forchstr. 340, 8008, Zürich, Schweiz. lazaros.vlachopoulos@balgrist.ch.
Sandro F FucenteseKlinik für Orthopädie, Universitätsklinik Balgrist, Universität Zürich, Forchstr. 340, 8008, Zürich, Schweiz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe goal of osteotomy is either to restore pretraumatic anatomic conditions or to shift the load to less affected compartments. INDICATIONS: Indications for computer-assisted 3D analysis and the use of patient-specific osteotomy and reduction guides include "simple" deformities and, in particular, multidimensional complex (especially posttraumatic) deformities. CONTRAINDICATIONS: General contraindications for performing a computed tomography (CT) scan or for an open approach for performing the surgery. SURGICAL TECHNIQUE: Based on CT examinations of the affected and, if necessary, the contralateral healthy extremity as a healthy template (including hip, knee, and ankle joints), 3D computer models are generated, which are used for 3D analysis of the deformity as well as for calculation of the correction parameters. For the exact and simplified intraoperative implementation of the preoperative plan, individualized guides for the osteotomy and the reduction are produced by 3D printing. POSTOPERATIVE MANAGEMENT: Partial weight-bearing from the first postoperative day. Increasing load after the first x‑ray control 6 weeks postoperatively. No limitation of the range of motion.

resultsThere are several studies that have analyzed the accuracy of the implementation of the planned correction for corrective osteotomies around the knee joint with the use of patient-specific instruments with promising results.

Indexed as

Surgery, Computer-AssistedHumansImaging, Three-DimensionalKnee JointOsteotomyTomography, X-Ray ComputedTreatment OutcomeFemurOsteotomyPatient-specific instrumentsThree-dimensional computer-assisted orthopaedic surgeryTibia

Identifiers

PMID37316574
PMCPMC10520128

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Registered trials

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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.