Patient-Reported Outcomes After Total Knee Replacement Vary on the Basis of Preoperative Coexisting Disease in the Lumbar Spine and Other Nonoperatively Treated Joints
Bibliographic record
Abstract
BACKGROUND: Although the majority of patients report substantial gains in physical function following primary total knee replacement, the degree of improvement varies widely. To understand the potential role of preoperative pain due to other musculoskeletal conditions on postoperative outcomes, we quantified bilateral knee and hip pain and low back pain before primary total knee replacement and evaluated its association with physical function at six months after total knee replacement. METHODS: A prospective cohort of 180 patients having primary unilateral total knee replacement reported joint-specific pain in right and left hips and knees (Western Ontario and McMaster Universities Osteoarthritis Index [WOMAC] pain) as well as the low back (Oswestry Disability Index) before surgery. Participants also completed the Short Form-36 (SF-36), including the physical and mental component summary scores, before and at six months after surgery. RESULTS: Of the 180 patients, 110 (61%) were women; the mean age was 65.1 years, the mean body mass index (BMI) was 32.5 kg/m², and mean SF-36 physical component summary score reported before the total knee replacement was 33.1. Before total knee replacement, 56.1% of the patients reported no or mild pain in the nonoperatively treated knee, hips, and low back. In addition, 22.2% of the patients had moderate to severe pain in one location; 12.8%, in two locations; and 8.9%, in three or four locations. Women reported more moderate to severe pain than men did in the nonoperatively treated knee (30% versus 11%; p < 0.004) and ipsilateral hip (26% versus 11%; p < 0.02). At six months, the mean physical component summary score was lower among patients with a greater number of preoperative locations of moderate to severe pain. After adjusting for age, sex, BMI, and SF-36 mental component summary score, moderate to severe preoperative pain in the contralateral knee (p = 0.013), ipsilateral (p = 0.014) and contralateral hip (p = 0.026), and low back (p < 0.001) was significantly associated with poorer function at six months after total knee replacement. CONCLUSIONS: Preoperative musculoskeletal pain in the low back and nonoperatively treated lower extremity joints is associated with poorer physical function at six months after total knee replacement. The degree of functional improvement varies with the burden of musculoskeletal pain in other weight-bearing locations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".