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Record W3036517205 · doi:10.1188/20.onf.374-399

ONS Guidelines™ for Cancer Treatment–Related Hot Flashes in Women With Breast Cancer and Men With Prostate Cancer

2020· article· en· W3036517205 on OpenAlexaff
Marcelle Kaplan, Pamela Ginex, Laura Boehnke Michaud, Paz Fernández‐Ortega, Dale Grimmer, Jessica Leibelt, Suzanne M. Mahon, Bernardo L. Rapoport, Valencia Robinson, Christine Maloney, Kerri Moriarty, Mark Vrabel, Rebecca L. Morgan

Bibliographic record

VenueOncology nursing forum · 2020
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsMcMaster UniversityQuebec Breast Cancer Foundation
Fundersnot available
KeywordsMedicineBreast cancerGrading (engineering)GuidelinePsychological interventionProstate cancerSystematic reviewClinical PracticeDistressAffect (linguistics)Health careQuality of life (healthcare)Physical therapyCancerMEDLINEFamily medicinePsychiatryNursingClinical psychologyInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE: Hot flashes are a common and troublesome side effect of surgery or endocrine therapy. They may lead to physical and psychological distress and negatively affect quality of life. This clinical practice guideline presents evidence-based recommendations for pharmacologic, behavioral, and natural health product interventions for treatment-related hot flashes in patients with breast or prostate cancer. METHODOLOGIC APPROACH: An interprofessional panel of healthcare professionals with patient representation prioritized clinical questions and patient outcomes for the management of hot flashes. Systematic reviews of the literature were conducted. The GRADE (Grading of Recommendations Assessment, Development, and Evaluation) approach was used to assess the evidence and make recommendations. FINDINGS: The panel agreed on 14 pharmacologic, behavioral, and natural health recommendations. IMPLICATIONS FOR NURSING: Conditional recommendations include the use of antidepressants rather than no treatment, physical activity rather than no treatment, and the avoidance of gabapentin and dietary supplements in the treatment of hot flashes. SUPPLEMENTARY MATERIAL CAN BE FOUND AT HTTPS: //onf.ons.org/ons-guidelines-hot-flashes-supplementary-material.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.787

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.053
GPT teacher head0.397
Teacher spread0.344 · 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 designOther design
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

Citations13
Published2020
Admission routes1
Has abstractyes

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