Characteristics of traumatic intracerebral haemorrhage: An assessment of screening logs from the STITCH(Trauma) Trial
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
INTRODUCTION: In undertaking international neurosurgical trials it is useful to understand international patient demographics and potential patient populations that study results will apply to. The STITCH(Trauma) trial included 59 centres from 20 countries, which were requested to screen all patients with traumatic intracerebral haemorrhage. This paper reviews these data. MATERIALS AND METHODS: Demographic, clinical and exclusion reason data were analysed. Comparisons were made between patients who were included in the trial and patients who were potentially eligible (but not included in the trial) and patients who were not potentially eligible. RESULTS: Screening evidence was returned for 1735 patients, 11% of these may potentially have been eligible, of whom 52% were not included because consent could not be gained. By country, median age per centre ranged from 26 years (Egypt) to 67 years (Germany), median time from injury to screening ranged from 5 h (Germany and Nepal) to 16 h (India), median intracerebral haemorrhage (ICH) volume ranged from 5 ml (Germany) to 30 ml (China), the proportion of male patients ranged from 56% (Egypt) to 91% (Canada) and the proportion of patients with both pupils reactive ranged from 68% (China) to 98% (Nepal). The most common exclusion reasons were ICH volume < 10 ml (49%) and presence of subdural haemorrhage/extradural haemorrhage or SDH/EDH requiring surgery (20%). CONCLUSION: Data presented here including international patient demographics and reasons for patient ineligibility will be useful for future traumatic ICH studies.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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