Post Marketing Surveillance on Propranolol and Atenolol Tablets Manufactured in Iran
Bibliographic record
Abstract
Propranolol, a prototypical b-adrenergic receptor antagonist and atenolol, a cardio-selective b-antagonist are widely used in therapeutic regimens for treatment of hypertensive patients. In Iran, several pharmaceutical manufacturers formulate these two b-blockers. As the formulation of a dosage form is essential for the patient's safety and drug efficacy, in this study we aimed to evaluate the quality of the tablets which are formulated by the above manufacturers. Atenolol (100 mg) tablet manufactured by APOTEX in Canada also was evaluated. The commercially available preparations of the following dosage forms were studied: propranolol (10 mg, 40 mg) manufactured by TOLID DARU and ROSE DARU (a, b, c, d), atenolol (50 mg) manufactured by DARUPAKHSH (e), atenolol (100 mg) manufactured by DARUPAKHSH, TOLID DARU, SOBHAN, LORESTAN and APOTEX (f, g, h, i, j). The quality and safety of the dosage forms of these drugs were evaluated by PMS studies. For this purpose, the weight variation, hardness, thickness, content assay, content uniformity, disintegration time and dissolution rate of the dosage forms were compared to British Pharmacopeia (BP) and United States Pharmacopeia (USP) standards. The results verify that all dosage forms show evidence of the USP and BP quality assessment.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".