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Record W2769432517 · doi:10.21873/anticanres.11960

Topical Management of Acute Radiation Dermatitis in Breast Cancer Patients: A Systematic Review and Meta-Analysis

2017· review· en· W2769432517 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnticancer Research · 2017
Typereview
Languageen
FieldMedicine
TopicEffects of Radiation Exposure
Canadian institutionsTrinity College
Fundersnot available
KeywordsMedicineMeta-analysisDermatologyCancerBreast cancerRadiation therapySystematic reviewMEDLINEOncologyPathologySurgeryInternal medicineBiology

Abstract

fetched live from OpenAlex

AIM: To evaluate the efficacy of topical corticosteroids in managing acute radiation dermatitis (RD) in female breast cancer patients. MATERIALS AND METHODS: MEDLINE, EMBASE, CINAHL, CENTRAL, ScienceDirect, Google Scholar and Clinicaltrials.gov were searched up to and including March 2017 to identify Randomised Controlled Trials (RCTs) assessing topical corticosteroids for the management and prevention of acute RD. RESULTS: Ten RCTs (919 participants) were identified. Meta-analysis, including results for 845 participants, demonstrated significant benefits of topical corticosteroids in preventing the incidence of wet desquamation (OR: 0.29; 95%CI: 0.19-0.45; p<0.0001) and reducing the mean RD score (SMD: -0.47, 95%CI: -0.61 - -0.33, p<0.00001). CONCLUSION: Topical corticosteroids impacted on the incidence of wet desquamation and the average RD score observed in female breast cancer patients. The use of topical corticosteroids can reduce pruritus in participants and improve quality of life.

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.

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)0.001
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: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.742
Threshold uncertainty score0.739

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0060.001
Bibliometrics0.0010.001
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 head0.154
GPT teacher head0.506
Teacher spread0.352 · 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