Meta-analysis of gabapentin in the treatment of postherpetic neuralgia
Bibliographic record
Abstract
<strong>Objective</strong> To evaluate the effects and tolerability of gabapentin in the treatment of postherpetic neuralgia (PHN). <strong>Methods </strong>The randomized controlled trials (RCTs) of gabapentin for the treatment of PHN were retrieved from PubMed, Cochrane Central Register of Controlled Trials,<br />EMBASE, Chinese Biology Medicine (CBM), VIP, China National Knowledge Infrastructure (CNKI) and Wanfang Data. Two reviewers independently evaluated the quality of the included articles and abstracted the data. Meta-analysis was performed using RevMan 5.0. <strong>Results </strong>According to the enrollment criteria, 5 prospective, randomized controlled clinical trials including 1225 subjects were finally selected. The mean changes for average daily pain score were significant in gabapentin group compared with placebo group (SMD = -0.920, 95%CI: -1.330~-0.520; P = 0.000), as well as the mean change for Short-Form McGill Pain Questionnaire (SF-MPQ) visual analogue scale (SMD = -2.650, 95%CI: -3.410~-1.890; P = 0.000) and average daily sleep intervention score (SMD = -2.480, 95%CI: -3.750~-1.200; P = 0.000). There was no significance between gabapentin group and placebo group in the withdrawl rate (P > 0.05). The common adverse reactions during gabapentin treatment included dizziness (OR = 3.710, 95%CI: 2.530-5.430; P = 0.000), somnolence (OR = 2.430, 95%CI: 1.530-3.860; P = 0.000) and peripheral edema (OR = 13.570, 95%CI: 4.190-43.970; P = 0.000). <strong>Conclusion</strong> It is indicated clinically that gabapentin is effective and well tolerated for the treatment of postherpetic neuralgia with high retention rate. However, adverse reactions, such as dizziness, somnolence and edema, should be paid attention.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 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 teacher head, 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".