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Record W4385807949 · doi:10.1101/2023.08.08.23293818

What are the impacts of oral complications from cancer therapy on the quality of life of children? A protocol to update a scoping review

2023· review· en· W4385807949 on OpenAlexaff
Nona Attaran, Apoorva Sharma, Martin Morris, Olawale Dudubo, Mary Ellen Macdonald

Bibliographic record

VenuemedRxiv · 2023
Typereview
Languageen
FieldMedicine
TopicOral health in cancer treatment
Canadian institutionsDalhousie UniversityMcGill UniversityMcGill University Health Centre
Fundersnot available
KeywordsQuality of life (healthcare)Protocol (science)CancerStakeholderAffect (linguistics)PsychologyGrey literatureMedicineQuality (philosophy)MEDLINEAlternative medicinePsychotherapistPublic relationsPolitical science

Abstract

fetched live from OpenAlex

Abstract Introduction Cancer treatments can damage healthy tissues and organs, and leave harmful impacts on cancer survivors, especially on children and adolescents. The oral effects of cancer treatment can occur during or soon after treatment, or months – even years – later. Cancer treatments can also affect the child, psychologically and socially by hindering their speech, eating, sleeping, and social interactions. These effects can have profound impacts on children’s quality of life. Building on a previous review published in 2012, this scoping review aims to identify and map the current evidence base underpinning the oral health-related impacts of cancer treatment on the quality of life of children with cancer. Methodology and methods Our methodology is guided by Arksey and O’Malley’s methodological framework for scoping reviews, Levac’s additions to the framework, and follows the Joanna Briggs Institute Reviewer’s Manual. Five electronic databases and grey literature will be systematically searched using a predefined search strategy. Two reviewers will independently screen the retrieved articles using Rayyan software and chart data from included articles. One of the team’s senior research members will act as a third reviewer and make the final decision on disputed documents. We will include literature with a focus on oral health-related quality of life of children undergoing cancer treatments. Following the selection of studies, data will be extracted, synthesized, and reported thematically and the relevant stakeholder’s insight will be added to our results. Ethics and dissemination No ethical approval is required as exclusively secondary data will be used. Results will be disseminated in cancer and oral health conferences, symposia, and a peer-reviewed journal. The information extracted from this review will also be the base for a qualitative study on the quality-of-life impacts of oral health effects of childhood cancer including children’s perspectives.

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)0.163
metaresearch head score (Gemma)0.178
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.163
Threshold uncertainty score0.863

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1630.178
Meta-epidemiology (narrow)0.0050.006
Meta-epidemiology (broad)0.0150.020
Bibliometrics0.0260.019
Science and technology studies0.0060.007
Scholarly communication0.0120.012
Open science0.0080.010
Research integrity0.0120.009
Insufficient payload (model declined to judge)0.0520.012

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 head0.385
GPT teacher head0.566
Teacher spread0.180 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations0
Published2023
Admission routes1
Has abstractyes

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