Evidence map›Paper›PMID 34173066›Full record

SynthesisEuropean journal of orthopaedic surgery & traumatology : orthopedie traumatologie2022

Clinical outcomes associated with robotic and computer-navigated total knee arthroplasty: a machine learning-augmented systematic review.

Quinlan D Buchlak, Joe Clair, Nazanin Esmaili, Arshad Barmare, Siva Chandrasekaran

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in European journal of orthopaedic surgery & traumatology : orthopedie traumatologie, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Observational
  4. Article
  5. Article
  6. 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

5 authors.

Quinlan D BuchlakSchool of Medicine, The University of Notre Dame Australia, Sydney, NSW, Australia. quinlan.buchlak1@my.nd.edu.au.ORCID http://orcid.org/0000-0001-6749-3223
Joe ClairDepartment of Orthopaedics, Werribee Mercy Hospital, Melbourne, VIC, Australia.
Nazanin EsmailiSchool of Medicine, The University of Notre Dame Australia, Sydney, NSW, Australia.
Arshad BarmareSchool of Medicine, The University of Notre Dame Australia, Sydney, NSW, Australia.
Siva ChandrasekaranDepartment of Orthopaedics, Werribee Mercy Hospital, Melbourne, VIC, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRobotic (RTKA) and computer-navigated total knee arthroplasty (CNTKA) are increasingly replacing manual techniques in orthopaedic surgery. This systematic review compared clinical outcomes associated with RTKA and CNTKA and investigated the utility of natural language processing (NLP) for the literature synthesis.

methodsA comprehensive search strategy was implemented. Results of included studies were combined and analysed. A transfer learning approach was applied to train deep NLP classifiers (BERT, RoBERTa and XLNet), with cross-validation, to partially automate the systematic review process.

results52 studies were included, comprising 5,067 RTKA and 2,108 CNTKA. Complication rates were 0-22% and 0-16% and surgical time was 70-116 and 77-102 min for RTKA and CNTKA, respectively. Technical failures were more commonly associated with RTKA (8%) than CNTKA (2-4%). Patient satisfaction was equivalent (94%). RTKA was associated with a higher likelihood of achieving target alignment, less femoral notching, shorter operative time and shorter length of stay. NLP models demonstrated moderate performance (AUC = 0.65-0.68).

conclusionsRTKA and CNTKA appear to be associated with similarly positive clinical outcomes. Further work is required to determine whether the two techniques differ significantly with regard to specific outcome measures. NLP shows promise for facilitating the systematic review process.

Indexed as

Arthroplasty, Replacement, KneeRobotic Surgical ProceduresComputersHumansMachine LearningOperative TimeComputer-navigated arthroplastyNatural language processingRobotic arthroplastyTotal knee arthroplasty

Identifiers

PMID34173066

What OpenQuestion holds

Textmetadata
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.