Evidence map›Paper›PMID 39697990›Full record

ArticleJournal of experimental orthopaedics2024

Forecasting the value of innovation in total knee arthroplasty care: A headroom approach.

Thomas M Otten, Sabine E Grimm, Bram Ramaekers, Alex Roth, Pieter Emans, Tim Boymans, Maarten Janssen, Ralph Jeuken, Manuela A Joore

Abstract read
In one paragraph

Article in Journal of experimental orthopaedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The projected economic burden and complications of revision hip and knee arthroplasties: Insights from national registry studies.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025
    Review
  3. 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

9 authors.

Thomas M OttenDepartment of Clinical Epidemiology and Medical Technology Assessment (KEMTA) Maastricht University Medical Centre Maastricht The Netherlands.ORCID 0000-0002-6390-5638
Sabine E GrimmDepartment of Clinical Epidemiology and Medical Technology Assessment (KEMTA) Maastricht University Medical Centre Maastricht The Netherlands.
Bram RamaekersDepartment of Clinical Epidemiology and Medical Technology Assessment (KEMTA) Maastricht University Medical Centre Maastricht The Netherlands.
Alex RothDepartment of Orthopaedic Surgery CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre Maastricht The Netherlands.
Pieter EmansDepartment of Orthopaedic Surgery CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre Maastricht The Netherlands.
Tim BoymansDepartment of Orthopaedic Surgery CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre Maastricht The Netherlands.
Maarten JanssenDepartment of Orthopaedic Surgery CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre Maastricht The Netherlands.
Ralph JeukenDepartment of Orthopaedic Surgery CAPHRI School for Public Health and Primary Care, Maastricht University Medical Centre Maastricht The Netherlands.
Manuela A JooreDepartment of Clinical Epidemiology and Medical Technology Assessment (KEMTA) Maastricht University Medical Centre Maastricht The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Total knee arthroplasty (TKA) is the standard treatment of end-stage osteoarthritis. TKA is often used and, therefore, poses a healthcare and societal burden, which is likely to increase further. Headroom analyses evaluate a technology under development by making assumptions about its effectiveness. This article applies a headroom approach to forecast the potential value of innovations that improve TKA-related care in the Netherlands in terms of cost-effectiveness and surgeries avoided. Methods: A state-transition model estimating lifetime direct health effects, healthcare- and societal costs and percentage of avoide d surgeries was developed. The model compared care as usual to five hypothetical interventions to calculate the headroom associated with (1) preventing the need for TKAs, (2) preventing the need for all TKA revisions, (3) postponing TKAs without quality-of-life loss, (4) preventing periprosthetic joint infections (PJIs) and (5) improving patient satisfaction. Results: Preventing the need for all TKAs amounted to €43,076 of headroom. Preventing the need for TKA revisions amounted to €2276 (5.8% of surgeries avoided), postponing TKAs by 5 years amounted to €7634 (32.4% of surgeries avoided), preventing PJIs amounted to €1187 (1.4% of surgeries avoided) and improving patient satisfaction amounted to €16,622 (0% of surgeries avoided). The headroom of each hypothetical intervention was highest in younger populations (<50 years of age). Conclusion: There is a headroom for improving TKA-related care. Innovations to avoid or postpone TKA (i.e., joint-preserving treatments) as well as those that improve patient satisfaction can be effective in maximizing the value for money and avoiding surgeries. Due to the decreasing average patient age, innovations to reduce revision rates and PJIs will become more valuable as these are most effective in younger patients. It is currently unclear how cost-effectiveness considerations should be traded off against the prevention of surgery to reduce the increasing burden on the healthcare system. Level of Evidence: Level III economic evaluation/decision-analytic model.

Indexed as

cost savingeconomic advantagehealth technology assessmentknee arthroplastyosteoarthritis

Identifiers

PMID39697990
PMCPMC11653941

What OpenQuestion holds

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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.