The Effects of Gabapentin on Pre-operative Anxiety, Morphine Consumption and Pain after Surgery.
Bibliographic record
Abstract
Gabapentin is an anticonvulsant that has become a treatment option for several indications that are not approved by Health Canada. Commonly, gabapentin is prescribed for neuropathic pain and anxiety disorders. The objective of this dissertation was to evaluate the efficacy of gabapentin for reducing pre-operative anxiety, post-operative pain and opioid consumption. The initial study examined regimens of pre-operative and post-operative gabapentin given to patients undergoing total knee arthroplasty. Patients that received gabapentin postoperatively used significantly less morphine at 24 hrs, 36 hrs and 48 hrs (p<0.05). Furthermore these patients had significantly better active-assisted knee flexion on postoperative day (POD) 2, POD 3, with a trend toward better flexion on POD 4. Next, we examined whether: 1) gabapentin administration reduces pain and opioid use after total hip arthroplasty using a multimodal analgesic regimen that included spinal anesthesia; and whether 2) preoperative administration of gabapentin is more effective than postoperative administration. Our results demonstrated that whether a 600 mg dose of gabapentin was given preoperatively or postoperatively, patients’ postoperative morphine consumption or pain scores were not reduced in hospital nor was there a reduction in pain 6 months after hip arthroplasty. The third study found that a single dose of 600 mg of gabapentin was not sufficient to reduce preoperative anxiety in patients prior to hip arthroplasty. In contrast, the final study demonstrated that 1200mg of gabapentin reduced pre-operative anxiety and pain catastrophizing in female patients with moderate to high levels of preoperative anxiety prior to major surgery, but also increased preoperative and early postoperative sedation. Our findings demonstrate the efficacy of perioperative gabapentin with respect to preoperative anxiety reduction and decreasing morphine consumption after surgery. Future studies that focus on the optimal dose and duration of perioperative gabapentin, with the aim of improving functional outcomes and decreasing the incidence and severity chronic post-surgical pain are warranted.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".