Functional recovery with peripheral nerve block versus general anesthesia for upper limb surgery: a systematic review protocol
Bibliographic record
Abstract
BACKGROUND: Peripheral nerve block is a single injection that inhibits the transmission of peripheral nerve impulses to the central nervous system. The inhibition of the nociceptive impulse may decrease the occurrence of muscle spasm following mobilization postoperatively. This mechanism may contribute to a better functional recovery following upper limb surgery. This systematic review will investigate the impact of peripheral nerve block on functional recovery after an upper limb surgery. METHODS: We will search studies comparing peripheral nerve block to general anesthesia for upper limb surgery in the following databases: CENTRAL, MEDLINE (Ovid), CINAHL, EMBASE, and Scopus. In duplicate, independent reviewers will assess eligibility, evaluate risk of bias, and abstract data on type of peripheral nerve block and functional outcome. Where possible, we will pool results using a random effects model. For each outcome, we will assess the quality of evidence using GRADE methodology. DISCUSSION: We aim to summarize the available evidence comparing functional recovery with peripheral nerve block versus general anesthesia for upper limb surgery. These data will inform the design of a trial on the topic. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42018116298.
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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 | 0.054 | 0.063 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.024 | 0.015 |
| Bibliometrics | 0.014 | 0.012 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.059 | 0.007 |
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".