Survey on Usage of Dye Pharmaceutical Preparations in Sentinel Lymph Node Biopsy
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
Sentinel lymph node biopsy (SLNB) has recently been accepted as a standard diagnostic procedure in the treatment of early breast cancer.However, since there are no dyes for this diagnostic technique on the market in Japan, we conducted a survey of the situation of dye use and preparations for SLNB in regional cancer treatment centers.We sent a questionnaire to 286 institutions for which the response rate was 75.2％.The results showed that 80.9％ of the institutions had already introduced SLNB and the dye-guided method was used by more than 90％ of them.The most common indication for SLNB was breast cancer.Patent blue prepared by hospitals and indigo carmine and indocyanine green (both off-label use) were commonly used dye preparations for SLNB.Although patent blue is the most satisfactory dye and has the highest identification rate, problems were reported with hospital preparations.There were also differences between institutions regarding storage conditions, validity dates, preparation standards and annual use of this dye.The survey also revealed that 74.4％ of institutions wanted dyes for SLNB to be marketed and there were numerous opinions on which types of patent blue preparation should be available.In conclusion, the present study indicated that there was a need for SNLB dye preparations in clinical practice and that it would be beneficial to make such preparations available on the market.
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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 | 0.001 | 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