Evidence map›Paper›PMID 35581518›Full record

ArticlePharmacoEconomics - open2022

Cost-Effectiveness Analysis of a Medial Meniscus Replacement Prosthesis for the Treatment of Patients with Medial Compartment Pain in the United Kingdom.

Mehdi Javanbakht, Atefeh Mashayekhi, Angeline Carlson, Eoin Moloney, Martyn Snow, James Murray, Tim Spalding

Open access · goldAbstract read
In one paragraph

Article in PharmacoEconomics - open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 6 institutions in 2 countries.

Mehdi JavanbakhtOptimax Access Ltd, Market Access Consultancy, University of Southampton Science Park, Kenneth Dibben House, Enterprise Rd, Chilworth, Hampshire, Southampton, SO16 7NS, UK. Mehdi.javanbakht@optimaxaccess.com.
Atefeh MashayekhiOptimax Access Ltd, Market Access Consultancy, University of Southampton Science Park, Kenneth Dibben House, Enterprise Rd, Chilworth, Hampshire, Southampton, SO16 7NS, UK.
Angeline CarlsonDepartment of Pharmaceutical Care and Health Systems, University of Minnesota, Minneapolis, MN, USA.
Eoin MoloneyOptimax Access Ltd, Market Access Consultancy, University of Southampton Science Park, Kenneth Dibben House, Enterprise Rd, Chilworth, Hampshire, Southampton, SO16 7NS, UK.ORCID http://orcid.org/0000-0002-9480-9884
Martyn SnowThe Royal Orthopaedic Hospital, Birmingham, UK.
James MurraySouthmead Hospital, North Bristol NHS Trust and University of Bristol, Bristol, UK.
Tim SpaldingUniversity Hospitals Coventry Warwickshire NHS Trust, Coventry, UK.
University of Southampton · GBChilworth Technology (United Kingdom) · GBNorth Bristol NHS Trust · GBRoyal Orthopaedic Hospital · GBUniversity Hospitals Coventry and Warwickshire NHS Trust · GBUniversity of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe most common intra-articular knee injury is a meniscal tear, which commonly occurs secondary to trauma following twisting or hyperflexion. Treatment options for meniscal tears can either be surgical or non-surgical, and range from rest, exercise, bracing and physical therapy to surgical intervention, including meniscal repair and partial meniscectomy. In patients with persistent pain following loss of meniscus tissue, treatment can include partial replacement or meniscal allograft transplantation. The NUsurface

objectiveThe aim of this study was to assess the cost effectiveness of MM replacement using NUsurface for the treatment of patients with medial compartment pain following previous partial medial meniscectomy, from a UK health service perspective.

methodsAn economic decision-analytic model was developed to assess the cost per quality-adjusted life-year (QALY) gained associated with the introduction of MM replacement using NUsurface compared with non-surgical standard of care, over a lifetime time horizon. The model structure was primarily informed by a previous clinical trial (VENUS) and was developed based on the clinical pathways typically followed by patients with this condition, with treatment pathways and probabilities of clinical progression adjusted depending on whether patients were receiving the intervention or undergoing current practice. A hypothetical cohort of adult patients (mean age of 50 years) was modelled, with clinical data sourced from the VENUS study as well as relevant UK literature. Both deterministic and probabilistic sensitivity analyses were carried out to explore uncertainty in the model results.

resultsThe base-case probabilistic results indicate that MM replacement using NUsurface is likely to be cost effective across a range of willingness-to-pay (WTP) thresholds (95% probability of being cost effective at the National Institute for Health and Care Excellence (NICE)-recommended £20,000 WTP threshold). Although per-patient costs increase, QALYs are also gained, with the incremental cost per QALY (probabilistic value = £5011) being below £20,000. Deterministic sensitivity analyses indicate that the parameters that have the greatest impact on results are the failure rate in the control group (current practice), utility scores, and the cost of undergoing MM replacement using NUsurface.

conclusionsBased on the analysis presented, MM replacement with the NUsurface prosthetic implant is likely to be a cost-effective use of UK health care service resources compared with current standard care.

Identifiers

PMID35581518
PMCPMC9440169
OpenAlexW4280562915

What OpenQuestion holds

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LicenceCC BY-NC
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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.