An examination of suicidal intent in patients with multiple sclerosis
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
OBJECTIVE: To examine neurologic and psychiatric correlates of suicidal intent in a community sample of 140 patients with MS. METHODS: Patients with (28.6%) and without lifetime suicidal intent were compared across MS disease-related and psychiatric variables. All subjects were interviewed with 1) the Structured Clinical Interview for DSM-IV Axis 1 disorders (SCID-IV) to determine lifetime prevalence of major depression and anxiety disorders; and 2) the Social Stress and Support Interview to assess psychological stressors. Suicidal intent was documented with questions from the SCID-IV and Beck Suicide Scale. Patients also completed the Hospital Anxiety and Depression Scale and cognitive testing. RESULTS: Suicidal patients were significantly more likely to live alone, have a family history of mental illness, report more social stress, and have lifetime diagnoses of major depression, anxiety disorder, comorbid depression-anxiety disorder, and alcohol abuse disorder. By logistic regression analysis, the severity of major depression, alcohol abuse, and living alone had an 85% predictive accuracy for suicidal intent. A third of suicidal patients had not received psychological help. Two-thirds of subjects with current major depression, all suicidal, had not received antidepressant medication. CONCLUSIONS: Suicidal intent, a potential harbinger for suicide, is common in MS and is strongly associated with major depression, alcohol abuse, and social isolation. Suicidal intent is a potentially treatable cause of morbidity and mortality in MS.
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.
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) | 0.000 | 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 it