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Record W4411696567 · doi:10.2147/orr.s524513

Clinical Outcomes of Methotrexate Usage in Postoperative Arthroplasty Patients: An Evidence Based Review

2025· review· en· W4411696567 on OpenAlexaff
Jason Koppert, David Heikoop, Brent A. Lanting

Bibliographic record

VenueOrthopedic Research and Reviews · 2025
Typereview
Languageen
FieldMedicine
TopicTotal Knee Arthroplasty Outcomes
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineMethotrexateArthroplastySurgery

Abstract

fetched live from OpenAlex

Patient dissatisfaction after joint arthroplasty remains common. Synovitis is known to contribute to patient dissatisfaction in patients with osteoarthritis. Methotrexate (MTX) is commonly used to prevent joint deterioration in rheumatoid arthritis, however it is much less common in the treatment of osteoarthritic patients. This review explores the effect of MTX on surgical outcomes in the general arthroplasty patient population. While most of the papers reviewed include patients with rheumatoid arthritis, we also review papers that include patients with osteoarthritis and juvenile idiopathic arthritis. Publications were queried in PUBMED and OVID MEDLINE using the following terms: arthroplasty, joint replacement, methotrexate, DMARDs, osteoarthritis, rheumatoid arthritis, arthritis. After applying exclusion criteria, we identified 12 publications for this review. Our results showed no significant increase in revisions or long-term infections were reported in patients taking MTX. One study reported detriment to nerve function with postoperative MTX use. All other studies reported no difference in post-operative pain or function scores. One study investigating the effect of MTX on mobility in rheumatoid arthritis patients following arthroplasty showed improvement in function in patients taking MTX. Thus, based on this review, perioperative MTX use does not appear to worsen arthroplasty outcomes. This review should suffice as a building block for further investigations and trials into MTX's utility for arthroplasty patients.

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)0.017
metaresearch head score (Gemma)0.031
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.776
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.031
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0090.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.266
GPT teacher head0.535
Teacher spread0.269 · 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.

Study designOther design
Domainnot available
GenreReview

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
Published2025
Admission routes1
Has abstractyes

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