FREQUENCY OF PRURITIC RASH IN PATIENTS WITH DENGUE FEVER PRESENTING TO A TERTIARY CARE HOSPITAL
Bibliographic record
Abstract
Objective: To find out the frequency of pruritic rash in patients presenting with dengue fever. Methods: This cross-sectional study was carried out at Medical "C" Unit, MTI Hayatabad Medical Complex (HMC), Peshawar, from 10th August to 12th November 2018. Through consecutive sampling, a total of 147 patients presenting with dengue fever admitted at the Medical "C" Unit were enrolled for the study. The diagnosis of dengue fever was made based on positive NS1 Antigen and/or positive IgM antibodies. Patient self-reporting and/or physical examination were used to find out the pruritic rash in patients. Results: Out of a total of 147 patients, 90 were male. Age ranged from 20 to 70 Years (Mean 27 years +14.52 SDs). Pruritic skin rash was found in 60 (40.81%) patients presenting with dengue fever. Conclusion: We have found that pruritic rash is one of the common manifestations of dengue fever. It was significantly more common in female patients.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | medium |
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".