Role of surgical modality and timing of surgery as clinical outcome predictors following acute subdural hematoma evacuation
Bibliographic record
Abstract
Background & Objective: A Craniotomy (CO) or decompressive craniectomy (DC) are the two main surgical procedures employed for evacuation of acute traumatic subdural hematoma (ASDH). However, the optimal surgical procedure remains controversial. The beneficial effect of early surgical evacuation of acute subdural hematoma in improving outcome also remains unclear. Our objective was to study the role of these two parameters in determining the outcome in patients undergoing surgical evacuation of acute traumatic subdural hematoma. Methods: A retrospective analysis of 58 patients presenting with acute traumatic subdural hematoma and with presenting Glasgow Coma Scale (GCS) ≤ 8 that had been operated in Lahore General Hospital between June 2014 and July 2015 was performed. The demographic data, preoperative GCS, type of surgical procedure performed and timing of surgery were analysed. Results: Forty (69%) patients underwent CO, and eighteen (31%) patients underwent DC. The CO and DC groups showed no difference in the demographic data and preoperative GCS. Six patients survived in the craniotomy group, while none survived in the decompressive craniectomy group (p=0.083). The relationship of timing of surgery with survival in the craniotomy group was found not to be clinically significant (p=0.87). Conclusion: In this study craniotomy was associated with a better outcome as compared to decompressive craniectomy, however, the difference did not reach statistical significance. Early surgery was also found not to be associated with an improved outcome. doi: https://doi.org/10.12669/pjms.36.3.1771 How to cite this:Altaf I, Shams S, Vohra AH. Role of surgical modality and timing of surgery as clinical outcome predictors following acute subdural hematoma evacuation. Pak J Med Sci. 2020;36(3):412-415. doi: https://doi.org/10.12669/pjms.36.3.1771 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How this classification was reachedexpand
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 | 0.007 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".