Modified Electroconvulsive Therapy in a Patient with Gastric Adenocarcinoma and Metastases to Bone and Liver
Bibliographic record
Abstract
Background. In addition to general anesthesia, muscle relaxants are given prior to electroconvulsive therapy (ECT) in order to prevent musculoskeletal injury. Higher doses of muscle relaxants have been suggested for patients at high risk for bone fractures; however, there are adverse side effects associated with these higher doses. Aims. We present a successful case of ECT to treat chronic major depressive disorder in a 62-year-old woman at high risk of bone fracture due to gastric adenocarcinoma with metastases to bone and liver. Case. Increasing doses of the muscle relaxant succinylcholine (0.45-0.74 mg/kg) were sufficient to prevent musculoskeletal complications throughout the course of 9 bifrontal ECT treatments. Following treatment, the patient reported and demonstrated markedly improved mood and functionality, enabling her transfer to a palliative care facility. Conclusion. Standard doses of succinylcholine were sufficient to mitigate the risk of pathological fractures in this patient with metastatic bone lesions. As there are established risks to using high doses of succinylcholine, with no evidence that higher doses reduce the incidence of fractures in high-risk populations, we suggest taking a conservative approach, using clinical observation and periodic plain radiography to dictate succinylcholine dose titration in such high-risk patients.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".