Unseen wounds: a multinational investigation of neurointerventionalists on the psychological toll of complications
Bibliographic record
Abstract
BACKGROUND: Complications not only affect patients but also impose a significant psychological burden on physicians. Quantitative data in neurointerventional surgery regarding the 'second victim' phenomenon are lacking. This study aimed to assess the prevalence and severity of post-traumatic stress symptoms among neurointerventionalists after major complications. METHODS: A survey was developed by a committee of experienced neurointerventionalists and distributed internationally via multiple platforms. Respondents were anonymous. Demographic information, complication type, and institutional support availability were queried. Psychological distress was measured using the validated Impact of Event Scale-Revised (IES-R), which assesses intrusion, avoidance, and hyperarousal domains. Descriptive statistics and regression analyses were performed to identify factors associated with post-traumatic stress symptoms. RESULTS: Of 1042 invited physicians, 503 responded (48%), with 413 completing the full survey (40%). The most common pathology was cerebral aneurysm, and the most frequent complication was hemorrhage. Overall, 64% scored above the IES-R threshold for possible post-traumatic stress disorder (PTSD) (≥24), with many reaching levels (≥37) associated with long-term stress and physiological sequelae. Intrusion was the dominant symptom domain, particularly distressing reminders about the complication. Lack of institutional support was significantly associated with possible PTSD (OR 1.63, 95% CI 1.1 to 2.5, P=0.02). No differences were observed by specialty, but geographic variations were present. High stress scores persisted long after the index event. CONCLUSION: Complications exert a profound emotional and physiological toll on neurointerventionalists, with high rates of possible PTSD and a strong association with inadequate institutional support. Systematic support programs are urgently needed to safeguard physician well-being and patient safety.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".