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Record W2553982299 · doi:10.5430/jst.v7n2p1

Acute and late adverse effects of breast cancer radiation: Two hypo-fractionation protocols

2016· article· en· W2553982299 on OpenAlexvenueno aff
Mohamed A Aboziada, Samir Shehata

Bibliographic record

VenueJournal of Solid Tumors · 2016
Typearticle
Languageen
FieldMedicine
TopicNonmelanoma Skin Cancer Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiation therapyBreast cancerIncidence (geometry)Adverse effectGroup BRandomized controlled trialStatistical significanceInternal medicineDose fractionationSurgeryGastroenterologyCancer

Abstract

fetched live from OpenAlex

Background: Hypofractionated radiotherapy delivered a lower total dose of radiation in larger dose per-fraction over 3 weeks.Many randomized trials supported the comparable efficacy and toxicities of conventional radiotherapy schedule to differenthypofractionated regimens. Patients and methods: One hundred female patients having breast cancer post-surgery randomized into two arms of acceleratedhypofractionation; 39 Gy/13 fractions (group A) and 42.4 Gy/16 fractions (group B) both regimens given as 5 fractions per week. Results: There was a significant increase of incidence of acute radiation dermatitis in patients receiving 39 Gy. Grade I and IIdermatitis reported in 82% and 46% for 39 Gy group and 42.4 Gy group respectively. In-addition, increased chronic subcutaneousfibrosis among patients with group A (28%) compared with (18%) to group B that was statistical significance. Breast conservativesurgery is the only factor that had significant effect on incidence of acute radiation dermatitis and chronic subcutaneous fibrosis. Conclusion: Thirty-nine Gy in 13 fractions has higher acute dermatitis and chronic subcutaneous fibrosis for patients underwentbreast conservative surgery. We need longer follow up to evaluate the efficacy of both regimens as regard of local control andsurvival.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.259
Threshold uncertainty score0.251

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 head0.009
GPT teacher head0.324
Teacher spread0.315 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

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