The Hypoglycemia Evaluated Mistakenly as Cerebrovascular Disease
Bibliographic record
Abstract
We aimed at emphasizing the significance of monitoring and regulating the blood glucose level of type II diabetic patients by presenting the case of a patient who was initially diagnosed as cerebral ischemia by mistake and later treated and healed via regulating the blood glucose level. A 79-year-old female patient who suffered from type II diabetes mellitus (type II DM) and hypertension was operated on because of left intertrochanteric fracture. On the postoperative 4th day, the overall situation of the patient worsened. She was unconscious, showing no responses to vocal stimulations. Cerebrovascular disease was not eliminated because of clinical findings, and the patient was intubated as mechanical ventilation was applied. The blood glucose level was 12 mg/dl at the time. As 500 ml of dextrose 10% was applied in twenty minutes, the blood glucose level increased to 237 mg/dl and the neurological findings improved. The next day, the patient was extubated. In cases where factors such as stress and starvation are present, the level of blood glucose should be examined frequently for diabetic patients during pre-, per-, and postoperative periods. In our case, our recommendation is to think systematically even from the simplest syndrome to the most complicated one. doi:10.4021/jnr15e
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".