Cross-Sectional Study for Prevalence of Non-Steroidal Anti-Inflammatory Drug-Induced Gastrointestinal, Cardiac and Renal Complications in India: Interim Report
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Non-steroidal anti-inflammatory drugs (NSAIDs) are the most common therapeutic products used for the management of inflammation and pain. However, their use is associated with gastrointestinal (GI), cardiovascular and renal complications. Although prevalence data regarding NSAID-induced complications are available worldwide, but none of the study has assessed the prevalence of GI, cardiac and renal complications in India. This study aimed to assess the point prevalence of GI, cardiac and renal complications associated with the use of NSAIDs in India. The study also aimed to evaluate the association between the risk factors and GI, renal and cardiac complications in patients using NSAIDs. METHODS: This prospective, cross-sectional, multi-centric study was conducted in eight medical colleges across India (North, East, West, South and Central India). Data related to GI complications including gastric, duodenal and gastroduodenal erosions/ulcers/gastritis, renal complications including acute and chronic renal failure or cardiac complications including acute coronary syndrome (ACS), acute myocardial infarction (AMI) and cardiac failure, were collected from patients. RESULTS: The cut-off date for interim data analysis was July 7, 2014. A total of 2,140 patients out of 3,600 were enrolled from eight centers at the time of interim analysis. The NSAID-associated point prevalence of GI complications was 30.08%; cardiac complication was 42.77%; and renal complication was 27.88%. CONCLUSIONS: Results of the present interim analysis show that the prevalence of GI, cardiac and renal complications among patients is high due to exaggerated usage; however, the final analysis would provide the overall prevalence of these complications.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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) | 0.000 | 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 it