MétaCan
Menu
Back to cohort
Record W4412951422 · doi:10.30693/smj.2025.14.7.22

Effect of scrambler Therapy on variables related to quality of life in breast cancer patients

2025· article· en· W4412951422 on OpenAlexaboutno aff
Seong-kyeong Kim, Shaokang Yu

Bibliographic record

VenueKorean Institute of Smart Media · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGinseng Biological Effects and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsQuality of life (healthcare)Breast cancerMedicineOncologyCancer therapyCancerInternal medicineNursing

Abstract

fetched live from OpenAlex

This study examines the effect of scrambler therapy on levels of pain, stress, and depression as they relate to breast cancer patients’ quality of life. A total of 20 patients with breast cancer were chosen as a sample. We measured the short-form McGill pain questionnaire, the stress response inventory, and the Beck depression inventory both prior to scrambler therapy and after 5 and 10 scrambler therapy sessions. A paired t-test was conducted to examine the indicator changes by treatment timing. The short-form McGill pain questionnaire, The stress response inventory, The Beck depression inventory showed significant differences between the following points: before therapy and after 5 sessions, before therapy and after 10sessions, and the completion of 5 and 10 sessions(p<. 05). In summary, Scrambler therapy demonstrated positive effects on the quality of life in breast cancer patients, showing improvements in related variables such as pain, stress, and depression. These findings suggest the potential applicability of Scrambler therapy in the future bio-healthcare field.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.292
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueKorean Institute of Smart MediaSame topicGinseng Biological Effects and ApplicationsFrench-language works237,207