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Record W4415685103 · doi:10.5005/ijoa-11025-0001

Comparative Long-term Outcomes of All-polyethylene vs Metal-backed Tibial Components in Total Knee Replacement: An Indian Perspective

2024· article· en· W4415685103 on OpenAlexaboutno aff
Ravikumar Mukartihal, M. R., Mithun Manohar, J Harsha, Sharan Patil

Bibliographic record

VenueIndian Journal of Arthroplasty · 2024
Typearticle
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPerspective (graphical)Component (thermodynamics)MEDLINEWork (physics)

Abstract

fetched live from OpenAlex

Introduction: A total knee replacement is a surgical procedure to treat severe arthritis in the knee joint.The cruciate-sacrificing prosthetic design is one of the most frequently used in total knee replacement (TKR).There has been debate regarding whether metal-backed tibia (MB) or allpolyethylene (AP) tibial components are better for implants in terms of lifespan, clinical results, and complication rates.The big role played by selecting appropriate knee joint implants for osteoarthritis in developing countries is with economic constraints.Metal and all-polyethylene monoblock essentially can serve this purpose in knees without defects in bones that do not require modularity like stem extensions or augments.The aim of this study was to compare the long-term clinical and radiological results of metal-backed vs all-polyethylene cruciate-sacrificing total knee replacements.Long-term application of all-polyethylene tibial implants against the backdrop of better-designed implants/instrumentation coupled with an increasing use of TKR and continuous economic pressures on health care could represent a potential for enormous cost savings without jeopardizing patient clinical outcomes.Materials and methods: This prospective study involves 200 TKR procedures using Depuy PFC AP implants and MB implants 100 in each group, conducted between January 2011 and January 2012, with 12-years follow-up.Patients age > 50 years with a definite diagnosis of osteoarthritis, severe knee pain or dysfunction disabling normal work and life, ineffectiveness of conservative treatment, and TKRs that did not necessitate bone grafting, modular stems or augments, or more constrained designs were included.Functional outcomes were assessed using the Knee Society Score (KSS), Western Ontario and McMaster University Osteoarthritis Index (WOMAC), and range of motion (ROM).Radiological assessments were performed to check for signs of loosening and malalignment.Implant survival was measured by revision surgery rates.Results: The study cohort included 130 females and 70 males, with an average age of 61.3 years.Both the MB and AP groups showed significant improvement in KSS, WOMAC, and ROM over 12-years, with no statistically significant difference between the two groups.The implant survival rate was 96% for AP and 94% for MB.Aseptic loosening occurred in 2 AP and 3 MB cases, with polyethylene wear observed in the MB group due to micromotion, while the AP group showed only minimal poly wear.Conclusion: The long-term outcomes of both AP and MB tibial components in TKR show comparable clinical and radiological success, with both designs significantly improving pain relief and functional outcomes in patients with severe knee arthritis.AP implants, in particular, demonstrated similar functional improvements and radiological stability, while offering the added benefit of reduced polyethylene wear.Given the lower cost of AP components, they represent a cost-effective solution in resource-limited settings without sacrificing patient outcomes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.328
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2024
Admission routes1
Has abstractyes

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