Survey of medical care by oncologists for depression in breast cancer patients
Bibliographic record
Abstract
【目的】乳がん専門医によるうつ病診療の実態調査 【方法】乳がん専門医352名に, うつ病診療状況に関する調査票を郵送した. 【結果】110名(31.3％)から回答を得た. 乳がん患者のうつ病罹患割合は, 90％の医師が20％以下, 約半数が5％以下と回答した. 第一選択薬はベンゾジアゼピン系抗不安薬(BZD)が最多で(41.5%), 次が選択的セロトニン再取り込み阻害薬(SSRI)だった(30.9%). BZD使用の医師は, 使用経験の豊富さ(オッズ比[OR] 8.20), 安全性(OR 6.27)で選んでおり, SSRIは, 効果の高さ(OR 7.07)で選ばれていた. 【結論】乳がん専門医の乳がん患者のうつ病診療では, 調査票に基づく診断や薬物療法等において高い水準の医療が均しく行われているとは言い難く, 精神科系専門家との連携も含め, 診療環境整備の必要性が示唆された.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.002 | 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".