Using Gabapentin to Treat Chronic Cough: A Review of Literature
Bibliographic record
Abstract
Chronic cough is a multifactorial symptom, and a legitimate medical concern, that often requires further investigation if resolution is not attained with initial therapeutic options. Gabapentin, an anticonvulsant used for a myriad of disease states, is suggested to have a positive effect on chronic cough. Pertinent literature was searched for, and critically appraised in order to determine the potential value of gabapentin in the treatment of chronic cough. Findings from salient literature demonstrate a decrease in both frequency and severity of chronic cough as primary endpoints. However, discontinuation of gabapentin precipitated a return of symptoms towards baseline values, which may suggest that sustained use is required to maintain such benefits. It is felt that, in light of recent literature, the use of gabapentin as an off-label treatment for chronic cough, refractory to typical treatment regimens, may be a viable option for select patients.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".