The Effect of Valeric on Anxiety Severity in Women Undergoing Hysterosalpingography
Bibliographic record
Abstract
AIM & SCOPE: Hysterosalpingography (HSG) is the radiographic evaluation of the uterine cavity and fallopian tubes, which is generally assumed as a stressful and painful procedure. This study aims to determine effect of oral Valeric capsules on anxiety severity in women under Hysterosalpingography. METHOD & EXAMINATION: This study, as a double-blind clinical trial, was conducted on 64 infertile women undergoing hysterosalpingography, who referred to radiology ward at Comprehensive Women's hospital. To measure anxiety, visual analog anxiety scale was used 90 minutes before starting procedure, individuals in intervention group (n=32) received a single dose (1,500 mg) of 3 Valeric capsules, together with routine prophylaxy, where routine prophylaxis contains Mefenamic acid 250mg capsules in 30 minutes before procedure, and the same capsules were prescribed to placebo group (n=32) with the same instruction. Anxiety severity before and once 90 minutes after intervention in both groups were measured and compared. RESULTS: There was no difference on anxiety severity before intervention in both groups (p=0.26), and the groups were homogeneous; after intervention, a significant difference on anxiety severity was reported in both groups (p<0/0001), and anxiety score in intervention group compared to placebo reduced statistically. CONCLUSION: Present study indicated that Valeric was effective on reducing anxiety in women undergoing hysterosalpingography.
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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 | 0.001 |
| 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 | 0.000 |
| 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".