Effect of the anticonvulsant medications Pregabalin and Lamotrigine on urodynamic parameters in an animal model of neurogenic detrusor overactivity
Bibliographic record
Abstract
AIMS: To assess the effects of different doses and treatment durations of pregabalin and lamotrigine on the urodynamic parameters of an animal model of neurogenic detrusor overactivity (NDO). MATERIALS AND METHODS: Ninety rats were used; six as normal controls and the remaining 84 were divided as follows: Six "paraplegic controls," 6 "paraplegic-vehicle controls," and the remaining 72 divided into two equal groups. Group 1 was divided into six subgroups; pregabalin was given in doses of 10 mg/kg, 20 mg/kg, or 30 mg/kg for 1 or 2 weeks. Group 2 was similarly subdivided; lamotrigine was given in doses of 1.5 mg/kg, 3 mg/kg, or 6 mg/kg for 1 or 2 weeks. RESULTS: All paraplegic controls developed NDO within 3 weeks from spinalization. Their baseline bladder pressure (BBP) 19 ± 4.4 cmH(2) O, detrusor pressure at maximum capacity (DPMaxC) 47.6 ± 4.3 cmH(2) O, bladder capacity (BC) 0.45 ± 0.1 ml, and frequency of detrusor overactivity (FDO) 3.7 ± 0.9/min. Both pregabalin and lamotrigine produced significant improvement. Urodynamic values in those treated with 20 mg pregabalin for 1 or 2 weeks were: BBP 11.7 ± 1.3 and 9 ± 0.2 cmH(2) O, BC 0.6 ± 0.1 and 0.7 ± 0.01 ml, DPMaxC 17.3 ± 4.0 and 23 ± 2.6 cmH(2) O, FDO 2.1 ± 0.2/min and 1.7 ± 0.1/min. Urodynamic values in those treated with 3 mg/kg lamotrigine for 1 or 2 weeks were: BBP 9.7 ± 2.2 and 8.6 ± 1.9 cmH(2) O, DPMaxC 17.2 ± 1.8 and 29 ± 1.2 cmH(2) O, BC 0.7 ± 0.1 and 0.8 ± 0.1 ml, FDO 1.9 ± 0.2/min and 1.9 ± 0.2/min (P < 0.001). CONCLUSIONS: Pregabalin and lamotrigine may represent novel alternative treatments of NDO. Clinical trials remain to be performed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".