Electroconvulsive Therapy in Patients With Skull Defects or Metallic Implants
Bibliographic record
Abstract
CONTEXT: Head injury is often associated with psychiatric morbidity. While it is well understood that the loss of critical areas of the brain may play a role in cognitive dysfunction and change in personality, head injury can also have profound effects on mood and cognition. The role of medications in the treatment of mood disorders associated with brain injury is well documented, and there is also evidence favoring the use of electroconvulsive therapy (ECT) in this context. However, data are limited on the use of ECT in patients with skull defects or metallic head implants. EVIDENCE ACQUISITION: First, a review of the literature on use of ECT in patients with metallic head implants is provided. Electronic databases and online sites, including PubMed, Cochrane Library of Systematic Reviews, and UpToDate, were used to search for relevant articles and case reports on the use of ECT in patients with and without metallic implants in the head (1964 to 2009). The search terms electroconvulsive, electroconvulsive therapy, ECT, electroshock therapy, EST, head injury, brain injury, metallic plates, metallic implants, skull prosthesis, and depression were used interchangeably. The search produced 7 articles discussing exclusively the use of ECT in patients with a metallic skull plate. Second, the case of the successful and safe use of ECT in an individual with a previous history of brain trauma and metallic plate implantation is described. RESULTS: Most cases of head injury are managed by neurologists and rehabilitation consultants; the more severe cases of depression and other mood disorders tend to be referred for specialist psychiatric care. With greater degrees of deficit following head injury, management becomes more complicated. Our patient showed positive results with ECT, including improvement in depressive features and resolution of suicidal ideas/plans. CONCLUSION: ECT is an effective and safe alternative in patients with a history of brain trauma and metallic plate implantation who subsequently develop treatment-resistant depression and associated suicidal ideas or plans refractory to management with medications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".