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Record W2137861869 · doi:10.1177/1043454208314458

Determining the Understandability and Acceptability of an Oral Mucositis Daily Questionnaire

2008· article· en· W2137861869 on OpenAlexaff
Deborah Tomlinson, John J. Isitt, Richard Barron, John Doyle, Peter Judd, Adam Gassas, Ahmed Naqvi, Lillian Sung

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2008
Typearticle
Languageen
FieldMedicine
TopicOral health in cancer treatment
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMucositisMedicineSwallowingClinical trialPhysical therapyIntensive care medicineInternal medicineDentistryRadiation therapy

Abstract

fetched live from OpenAlex

Oral mucositis research in children receiving anticancer therapy has been impeded by the lack of an acceptable, appropriate assessment scale. Some scales attempt to measure subjective symptoms associated with mucositis such as pain and difficulty swallowing. These types of patient-reported outcomes are gaining prominence in clinical trials because they capture the perspective of the patients in whom the intervention is designed to benefit. In mucositis research, very few patient-reported outcome measures have been developed. The aim of this study was to determine whether an adaptation of the adult-validated Oral Mucositis Daily Questionnaire is understandable and acceptable for use in the pediatric oncology/hematology population. Twelve subjects were asked to rate their opinion of understandability and acceptability of the adapted Oral Mucositis Daily Questionnaire. As a result of their comments, minor changes were made. Evaluation of the psychometric properties of this instrument can now be performed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.065
GPT teacher head0.413
Teacher spread0.347 · 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 source (direct Gemma or distilled Codex), 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

Citations23
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Pediatric Oncology NursingSame topicOral health in cancer treatmentFrench-language works237,207