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Record W2189580600

Salivary status in patients treated for head and neck cancer.

2004· article· en· W2189580600 on OpenAlexaff
Colin Dawes, Olva Odlum

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsDry mouthSalivaMedicineSwallowingHead and neck cancerHead and neckResidual volumeDentistrySalivary glandStage (stratigraphy)CancerSurgeryInternal medicineBiologyLung volumes
DOInot available

Abstract

fetched live from OpenAlex

The objective of this study was to compare unstimulated salivary flow rate and residual salivary volume (the volume of saliva retained in the mouth after swallowing) in a group of 23 control subjects and a group of 25 patients who had received radiation treatment or had undergone removal of the salivary glands (or both) for head and neck cancer. As expected, the mean flow rate (+/- 0 standard deviation) in the patient group was significantly less than that in the control group (0.07 +/- 0.11 and 0.45 +/- 0 0.27 mL/min, respectively). However, the mean residual volumes were not significantly different between the 2 groups (0.70 +/- 0 0.28 and 0.82 +/- 0 0.26 mL, respectively). The 25 patients were subdivided according to their self-reported assessment of the mouth as being not dry (3), somewhat dry (12) or very dry (10); mean residual volume of saliva was significantly lower, at 71% the level in control subjects, for the group with very dry mouth (p < 0.02). These results suggest that people who report that the mouth is dry may not have a complete lack of fluid in the mouth; rather, there may be localized areas of dryness, notably on the hard palate, where the salivary film is particularly thin and subject to fluid absorption or evaporation because of mouth breathing.

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 score0.035
Threshold uncertainty score0.234

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 head0.024
GPT teacher head0.254
Teacher spread0.231 · 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

Citations20
Published2004
Admission routes1
Has abstractyes

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