The Painful Total Knee Arthroplasty
Bibliographic record
Abstract
This chapter presents a case scenario of a 57 year-old female who presents with a painful total knee arthroplasty (TKA) 18 months postoperatively. TKA patients experiencing pain require significant healthcare resources to evaluate and manage. Investigating the painful TKA requires a systematic approach that ensures both intra- and extra-articular etiologies are assessed. Extra-articular causes of pain after TKA should be considered when infection and other intra-articular pathologies have been ruled out. A significant percentage of TKA patients have some complaint of pain related to the arthroplasty. A diagnostic test that assesses alignment of a TKA but also correlates it to biologic activity or inflammation at the bone–prosthetic interface would be very helpful. Single-photon emission computed tomography/computed tomography (SPECT/CT) imaging can potentially accomplish this. SPECT/CT may help to distinguish between aseptic and septic loosening more accurately than three-phase planar bone scintigraphy. The chapter provides recommendations for implementing evidence-based practice in the clinical setting.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".