Characteristics of Stroke in Prehospital Settings in Saudi Arabia: A Descriptive Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Stroke is considered a time-sensitive emergency; thus, early recognition of this condition is a crucial function of emergency medical services (EMS) and medical practitioners. In this study, we aimed to assess the characteristics observed by EMS practitioners in stroke-suspected cases. Methodology: This is a retrospective observational study, using the data available in the registry of the Saudi Red Crescent Authority (SRCA). We collected data from the beginning of January 2018 to the end of December 2020. Results: We reviewed 753 patients who met the study’s inclusion criteria. Participants aged 61-70 years represented 29% of the study group, and 66% of the group were male. Patients living in Makkah constituted 32.9%, while most of the patients (71.7%) were Saudi nationals. Weakness was the most common complaint, reported in 45% of patients. The most associated disease was hypertension (54.4%), whereas hypoglycaemic patients represented 0.4% of the group. Conclusion: Weakness was the most prevalent complaint among stroke-suspected patients, and hypertension was the most associated risk factor. Blood glucose measurement and neurological examination were both included in the EMS assessment of stroke-suspected patients. This might indicate the high quality of the EMS assessment for stroke and stroke-mimickers.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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