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Assessment of the use of sialogogues in the clinical management of patients with xerostomia

2006· article· en· W2160190331 on OpenAlexaff
Nita Chainani‐Wu, Meir Gorsky, Priscilla Mayer, Alan Bostrom, Joel B. Epstein, Sol Silverman

Bibliographic record

VenueSpecial Care in Dentistry · 2006
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsBC Cancer Agency
FundersNational Institute of Dental and Craniofacial Research
KeywordsBethanecholMedicinePilocarpineSalivaCrossover studyAdverse effectWashoutAnesthesiaSide effect (computer science)Internal medicinePlaceboMuscarinic acetylcholine receptor

Abstract

fetched live from OpenAlex

This study was conducted to assess the clinical efficacy and adverse effects of pilocarpine, bethanechol and cevimeline in patients with xerostomia. In this open-label crossover assessment in 20 patients with xerostomia, a one- to two-week course of each medication with a one-week washout period was prescribed. Side effects, symptoms, whole stimulated and unstimulated saliva were measured. Each sialogogue was found to increase saliva and decrease symptoms. A mixed-effects analysis showed a greater increase in stimulated saliva on bethanechol compared to pilocarpine (0.106, p = 0.0272). Increased sweating was the most common side effect, experienced more frequently with pilocarpine as compared to bethanechol (p = 0.0588) or cevimeline (p = 0.0143). A carryover effect beyond the washout period was seen. Effects on saliva and side effects vary between sialogogues, suggesting a benefit of trials with different sialogogues to determine individual patient preference. The observed carryover effect suggests that intermittent treatment may be an alternative to continuous treatment with sialogogues.

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 score0.006
Threshold uncertainty score0.134

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 head0.035
GPT teacher head0.324
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 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

Citations35
Published2006
Admission routes1
Has abstractyes

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