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Record W2735087380 · doi:10.4103/ijpc.ijpc_146_16

The effect of honey on radiation-induced oral mucositis in head and neck cancer patients

2017· article· en· W2735087380 on OpenAlexaff
Amna Amanat, Asrar Ahmed, Abbas Kazmi, Bushra Aziz

Bibliographic record

VenueIndian Journal of Palliative Care · 2017
Typearticle
Languageen
FieldMedicine
TopicOral health in cancer treatment
Canadian institutionsCollège Montmorency
Fundersnot available
KeywordsMucositisMedicineRadiation therapyHead and neck cancerGrading (engineering)CancerInternal medicineSurgery

Abstract

fetched live from OpenAlex

AIM: The aim of this study is to evaluate the effect of honey on clinically scoring grades of oral mucositis. MATERIALS AND METHODS: This interventional study was carried out in Radiation Oncology Department of Mayo Hospital, Lahore. In this study, 82 patients of both genders, of head and neck cancer, planned for radiotherapy, were divided into two groups by random sampling numbers. Patients in both groups were treated with a total dose of 60-78 Grays in 4-6 weeks. In treatment group, patients were instructed to take 20 mL of honey. In control group, they were advised to rinse with 0.9% of saline. Patients were evaluated every week to assess the grades of oral mucositis up to 6 weeks. The assessment tool was Radiation Therapy Oncology Group Grading System. The statistical analysis was done by Chi-square test. RESULTS: In honey-treated group, the proportion of mucositis (Grades 3 and 4) was lower and statistically significant as compared to control group at the end of 6 weeks of radiation. CONCLUSION: This study showed that oral intake of honey during radiotherapy is valuable in the reduction of severity of oral mucositis.

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 score0.098
Threshold uncertainty score0.301

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 head0.033
GPT teacher head0.398
Teacher spread0.365 · 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

Citations50
Published2017
Admission routes1
Has abstractyes

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