Evidence map›Paper›PMID 29657848›Full record

ArticleEFORT open reviews2018

Medial subvastus

James R Berstock, James R Murray, Michael R Whitehouse, Ashley W Blom, Andrew D Beswick

Registry-linked trialAbstract read
In one paragraph

Article in EFORT open reviews, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07348835 (Continuous Monitoring Using a Smart Implantable Device), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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.

NCT07348835 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Continuous Monitoring Using a Smart Implantable Device (Persona IQ®) to Compare Medial Parapatellar vs. Subvastus Approaches in Early Post-Operative Total Knee Arthroplasty Recovery

TypeinterventionalSponsorTotal Joint SpecialistsRan2026 to 2027Enrolled110ConditionsTotal Knee AnthroplastyArmsTotal Knee Arthroplasty Medial Parapatellar Approach, Total Knee Arthroplasty Subvastus Approach
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

James R BerstockMusculoskeletal Research Unit, University of Bristol, UK.
James R MurrayAvon Orthopaedic Centre, Southmead Hospital, Bristol, UK.
Michael R WhitehouseMusculoskeletal Research Unit, University of Bristol, UK.
Ashley W BlomMusculoskeletal Research Unit, University of Bristol, UK.
Andrew D BeswickMusculoskeletal Research Unit, University of Bristol, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Twenty randomized controlled trials comprising 1893 primary total knee replacements were included in this review.The subvastus approach conferred superior results for mean difference (MD) in time to regain an active straight leg raise (1.7 days, 95% confidence interval [CI] 1.0 to 2.3), visual analogue score for pain on day one (0.8 points on a scale out of 10, 95% CI 0.2 to 1.4) and total range of knee movement at one week (7°, 95% CI 3.2 to 10.7). The subvastus approach also resulted in fewer lateral releases (odds ratio 0.4, 95% CI 0.2 to 0.7) and less peri-operative blood loss (MD 57 mL, 95% CI 10.5 to 106.4) but prolonged surgical times (MD 9.7 min, 95% CI 3.9 to 15.6).There was no difference in Knee Society Score at six weeks or one year, or the rate of adverse events including superficial or deep infection, deep vein thrombosis or knee stiffness requiring manipulation under anaesthesia.This review demonstrates evidence of early post-operative benefits following the subvastus approach with equivalence between approaches thereafter. Cite this article:

Indexed as

arthroplastykneemeta-analysisreplacementreviewsurgical approach

Identifiers

PMID29657848
PMCPMC5890136

What OpenQuestion holds

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Registered trials

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.