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Record W2036125855 · doi:10.1002/hed.21682

Functional outcomes related to the prevention of radiation‐induced xerostomia: Oral pilocarpine versus submandibular salivary gland transfer

2011· article· en· W2036125855 on OpenAlexaff
Jana Rieger, Naresh Jha, Judith A Lam Tang, Jeffrey Harris, Hadi Seikaly

Bibliographic record

VenueHead & Neck · 2011
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsMisericordia Community HospitalUniversity of Alberta HospitalAlberta Hospital EdmontonUniversity of Alberta
Fundersnot available
KeywordsSwallowingPilocarpineMedicineQuality of life (healthcare)Head and neck cancerSalivaRadiation therapySubmandibular glandHead and neckSalivary glandInternal medicineDentistrySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Xerostomia has a devastating impact on oral function and quality of life in patients who receive radiation treatment for head and neck cancer. The purpose of this study was to examine functional outcomes related to 2 saliva-sparing treatments: (1) oral pilocarpine during radiotherapy; or (2) the submandibular salivary gland transfer (SGT) before radiotherapy. METHODS: Sixty-nine patients were recruited (SGT = 36; pilocarpine = 33). Speech intelligibility, swallowing outcomes, and quality of life were assessed at 4 points in time (pretreatment, and 1 month, 6 months, and 12 months after the pretreatment assessment). RESULTS: There were no differences between groups in speech outcomes; however, significant between-group differences existed in swallowing and quality of life outcomes. In all cases, patients who received the SGT procedure had better swallowing outcomes and quality of life scores than the patients who received oral pilocarpine. CONCLUSION: The SGT should be the treatment of choice between the 2 treatments offered to prevent xerostomia in the present study.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score1.000

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)0.0010.000

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 head0.068
GPT teacher head0.295
Teacher spread0.227 · 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.

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

Citations42
Published2011
Admission routes1
Has abstractyes

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