Efficacy of Scalp Cooling in the Prevention of Chemotherapy Induced Alopecia Among Breast Cancer Patients
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
Alopecia refers to hair loss, which is a common side-effect of chemotherapy regimens for cancer. Anthracyclines and taxanes are the common anticancer drugs prescribed within chemotherapy that result in significant alopecia. Scalp cooling is identified to be an effective method that prevents chemotherapy-induced alopecia (CIA) in patients. This method has been present since 1974; however, novel technologies have enhanced the efficacy via modern scalp-cooling devices. By maintaining a low scalp temperature, vasoconstriction aids in the reduced absorption of anticancer drugs into the bloodstream, which reduces intrafollicular metabolism. Randomized controlled trials conducted recently found statistically significant results, evidencing the hair preservation and hair regrowth abilities yielded via scalp cooling. These results attracted the attention of researchers due to the treatment success and the patient safety aspect of the process. Extensive scientific research reveals that alopecia affects the perceptions of patients regarding their body image and lowers their self-esteem significantly. Furthermore, the quality of life of alopecia patients is reduced due to public stigmatization. The effectiveness of scalp cooling in preventing CIA is of high significance as it can help improve patient outcomes of patients undergoing chemotherapy and their mental well-being.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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