Treatment costs of venlafaxine and selective serotonin-reuptake inhibitors for depression and anxiety.
Bibliographic record
Abstract
In this article, health care expenditures are assessed for patients diagnosed with depression who are being treated with either venlafaxine (immediate or extended release) or a selective serotonin-reuptake inhibitor (SSRI). Patients beginning treatment for a new depressive episode were identified retrospectively from 1994 to 1998. Before beginning therapy, patients prescribed venlafaxine (N = 353) had more nonmental illnesses (0.84 vs. 0.75 clinical events/patient, respectively; P < .01) and hospitalizations for mental illness (0.56 vs. 0.30 hospitalizations/patient; P = .06) than patients prescribed SSRIs (N = 7,330). In the six months after initiating treatment, venlafaxine was associated with lower hospitalization expenditures for nonmental illness than were SSRIs ($206 vs. $472, respectively; P = .02), but total health care expenditures were not significantly different.
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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 | 0.001 | 0.006 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".