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Record W2121705118 · doi:10.1002/hed.20961

Phase III randomized study: Oral pilocarpine versus submandibular salivary gland transfer protocol for the management of radiation‐induced xerostomia

2008· article· en· W2121705118 on OpenAlexaff
Naresh Jha, Hadi Seikaly, Jeffrey Harris, David Williams, Khalil Sultanem, Michael Hier, Sunita Ghosh, Martin J. Black, James Butler, Donna Sutherland, Paul Kerr, Pam Barnaby

Bibliographic record

VenueHead & Neck · 2008
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsUniversity of ManitobaMcGill UniversityCancerCare ManitobaJewish General HospitalAlberta Cancer FoundationUniversity of Alberta
Fundersnot available
KeywordsPilocarpineMedicineSalivaSubmandibular glandHead and neck cancerRandomized controlled trialSalivary glandQuality of life (healthcare)Head and neckInterim analysisRadiation therapyAnesthesiaInternal medicineSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Xerostomia is a serious morbidity of radiation treatment in head and neck cancer. METHODS: We conducted a prospective phase III multicenter randomized study comparing submandibular salivary gland transfer (SGT) procedure with pilocarpine during and for 3 months after XRT. Salivary flow (baseline, stimulated) and University of Washington Quality of Life Questionnaire (U of W QOL) scores were measured. RESULTS.: An interim intent to treat analysis (120 patients) at 6 months shows superior results in SGT arm: median baseline salivary flow for SGT (0.04 mL/minute) versus pilocarpine (0.01 mL/minute), p = .001; median stimulated salivary flow (0.18 mL/minute) for SGT versus (0.05 mL/minute) for pilocarpine, p = .003. Scores (U of W QOL) for amount (p = .017) and consistency of saliva (p = .005) in favor of SGT leading to premature closure of study. CONCLUSIONS: Submandibular SGT procedure is superior to pilocarpine in management of radiation-induced xerostomia.

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)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0090.001

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 head0.079
GPT teacher head0.368
Teacher spread0.289 · 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 designRandomized trial
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

Citations75
Published2008
Admission routes1
Has abstractyes

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