A STUDY ON TREATMENT PATTERN AND OUTCOMES OF POISONING CASES IN A TERTIARY CARE AND GOVERNMENT DISTRICT HOSPITAL
Bibliographic record
Abstract
Objective: Poisoning is a major prevalent problem, with thousands of deaths occurring every year, mainly in developing countries. The present study sought to identify the treatment pattern and outcomes of poisoning cases admitted to Basaveshwara Medical College and Hospital and Research Centre (BMCH and RC) and Government District Hospital and to determine the type of poison cases.Methods: This is a prospective observational study aimed to analyse the poisoning cases admitted to general medicine departments and emergency departments of BMCH and RC and Government District Hospital, Chitradurga, Karnataka for a period of six months. Results: A total of 100 cases were enrolled in this study. 63% of the cases were identified from BMCH and RC, with the remainder being from Government Hospital. The study shows that 41% of the cases were 21-30 y old. 48% (n=48) were males and 52% (n=52) were females. Different types of poisoning cases were observed; organophosphorus poisoning (OP) taking the lead, followed by snake bite cases. The study denotes a mortality rate of 4% and morbidity rate of 96%. A majority of cases were reported in the second quarter of the year.Conclusion: It was concluded from the above findings that young age adults constituted a significant percentage of the subjects. It is essential, therefore, to propose policies that can terminate the free trade of poisonous pesticides and to create awareness and periodically counsel the vulnerable group of the population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".