Z.A.Q (Zelnorm Advancing Quality of Life) Study Outcomes. Treatment with Tegaserod in a Naturalistic Setting Is Associated with Reductions in Presenteeism and Absenteeism
Bibliographic record
Abstract
Purpose: Abdominal pain/discomfort, bloating and constipation are symptoms of the lower gastrointestinal (GI) dysmotility disorder, IBS-C. They are associated with impaired quality of life (QoL) and IBS is the second most common cause of work-related absenteeism. ZAQ was a prospective naturalistic study designed to evaluate the impact of Zelnorm treatment on absenteeism and presenteeism in women with IBS-C. Methods: 2381 patients with lower GI symptoms were enrolled at 481 community physician sites across Canada. Patients completed questionnaires on medication use, absenteeism and presenteeism at baseline and 4 and 12 weeks after starting Zelnorm treatment. Results: Baseline data were obtained from 1542 patients. Week 4 and/or Week 12 questionnaires were returned by 483 patients (31.3%) who were included in the ITT analysis. The mean age was 49.5 years. Mean disease duration was >2 years for 77.5% and ≥ 6 years for 46.2% of the population. The most common prescription (Rx) medications reported at baseline were PPIs (33.2%), pinaverium bromide (15%) and H2RA (13.3%). Fiber (23%), laxatives (20%) and stool softeners (18%) were the most commonly reported non-Rx medications. With Zelnorm treatment, there was a significant reduction in presenteeism and absenteeism as shown in the table.Table: No Caption available.Conclusions: These data, collected over 12 weeks in a naturalistic treatment setting indicate that treatment with Zelnorm is associated with a significant decrease in self-reported presenteeism and absenteeism in patients with symptoms of abdominal pain/discomfort, bloating and constipation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.006 | 0.001 |
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".