Analgesic efficacy of local infiltration analgesia vs. femoral nerve block after anterior cruciate ligament reconstruction: a systematic review and meta‐analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many published reports consider blockade of the femoral nerve distribution the best available analgesic treatment after anterior cruciate ligament reconstruction. However, some argue that an alternative approach of infiltrating local anaesthetic into the surgical site has similar efficacy. The objectives of this meta-analysis were to compare the analgesic and functional outcomes of both treatments following anterior ligament reconstruction. The primary outcomes were pain scores at rest (analogue scale, 0-10) in the early (0-2 postoperative hours), intermediate (3-12 hours) and late postoperative periods (13-24 hours). Secondary outcomes included range of motion, quadriceps muscle strength and complication rates (neurological problems, cardiovascular events, falls and knee infections). Eleven trials, including 628 patients, were identified. Pain scores in the early, intermediate and late postoperative periods were significantly lower in patients who received a femoral nerve block, with mean differences (95%CI) of 1.6 (0.2-2.9), p = 0.02; 1.2 (0.4-1.5), p = 0.002; and 0.7 (0.1-1.4), p = 0.03 respectively. The quality of evidence for our primary outcomes was moderate to high. Regarding functional outcomes, only one trial reported a similar range of motion between groups at 48 postoperative hours. No trial sought to record complications. In conclusion, femoral nerve block provides superior postoperative analgesia after anterior cruciate ligament reconstruction to local infiltration analgesia. The impact of improved analgesia on function remains unclear due to the lack of reporting of functional outcomes in the existing literature.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.014 | 0.005 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it