Functional Outcome of Femoral versus Obturator Nerve Block after Total Knee Arthroplasty
Bibliographic record
Abstract
UNLABELLED: Patients undergoing total knee arthroplasty often experience substantial postoperative pain, which may delay functional recovery and hospital discharge. We recently reported the short-term analgesic efficacy of a single-injection femoral nerve block after spinal anesthesia in total knee arthroplasty. We have now followed 30 patients a minimum of 1 year to determine the functional outcome and pain relief after femoral and obturator nerve block after total knee arthroplasty. Patients undergoing primary unilateral total knee arthroplasty were randomized to one of three treatment groups: (1) femoral nerve block; (2) obturator nerve block; or (3) placebo (sham block). At 6 weeks and 1 year, all three groups had similar total Hospital for Special Surgery knee scores and similar subscores such as range of motion, daily function, and resting and dynamic pain. The data support the usefulness of a peripheral nerve blockade in the context of a multimodal analgesic regimen and a tailored rehabilitation program to individual patients and institutions. LEVEL OF EVIDENCE: Level III, therapeutic study. See the Guidelines for Authors for a complete description of levels of evidence.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".