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Cost-Effectiveness and Economic Impact of the KineSpring® Knee Implant System in the Treatment of Knee Osteoarthritis in Italy

2013· article· en· W3022723498 on OpenAlexaff
Maurilio Marcacci, Stefano Zaffagnini, Chuan Silvia Li, Mohit Bhandari

Bibliographic record

VenueJournal of Long-Term Effects of Medical Implants · 2013
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsHamilton General HospitalMcMaster University
Fundersnot available
KeywordsMedicineHigh tibial osteotomyUnicompartmental knee arthroplastyOsteoarthritisQuality-adjusted life yearCost effectivenessArthroplastyImplantSurgeryCost–benefit analysisPhysical therapy

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of the present study was to determine whether the KineSpring System is a more effective treatment for knee OA when compared to other standard treatments, considering cost-utility ratios. METHODS: A literature search provided data on conservative and surgical treatment costs and functional outcome scores. The KineSpring System outcome scores were obtained from two trials. Quality adjusted life years (QALYs) and cost-utility ratios were calculated for each treatment option assuming a lifetime durability as well as 10-year durability. RESULTS: Assuming lifetime durability, the cost-utility ratios of total knee arthroplasty (TKA), unicompartmental knee arthroplasty (UKA), high tibial osteotomy (HTO), the KineSpring System, and conservative treatments, compared to no treatment were €2348±70 per QALY, €2040±61 per QALY, €2281 ± 68 per QALY, €1669±268 per QALY, and €11,688±2185 per QALY, respectively. Assuming a treatment durability of 10 years, the cost-utility ratio of TKA, UKA, HTO, the KineSpring System and conservative treatments, compared to no treatment were €4,884±323 per QALY, €4243±280 per QALY, €4,744 ±313 per QALY, €3757±1353 per QALY, and €10,575±4414 per QALY, respectively. CONCLUSION: Compared to current standard-of-care treatments, the KineSpring System has a favorable cost-utility ratio, making it an effective treatment option and a suitable cost-saving alternative. The KineSpring System is associated with lower cost and increased QALYs. Future research is needed to further examine the long-term outcomes associated with the KineSpring System.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.500

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.310
Teacher spread0.295 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations9
Published2013
Admission routes1
Has abstractyes

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