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Record W2155109711 · doi:10.1001/archotol.129.3.324

Obesity as a Risk Factor for Primary Spontaneous Rhinoliquorrhea

2003· article· en· W2155109711 on OpenAlexaff
David Holzmann, Corina Wild

Bibliographic record

VenueArchives of Otolaryngology - Head and Neck Surgery · 2003
Typearticle
Languageen
FieldMedicine
TopicHead and Neck Surgical Oncology
Canadian institutionsUniversity Hospital
Fundersnot available
KeywordsMedicineObesityBody mass indexRisk factorrhinorrheaSurgeryRetrospective cohort studyInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether obesity is a potential risk factor of primary spontaneous cerebrospinal fluid rhinorrhea (CSFR). DESIGN: Retrospective study. SETTING: University hospital. PATIENTS AND METHODS: The clinical data of 79 patients diagnosed with CSFR who had been treated at our hospital between 1991 and 2001 were assessed. The data of 61 (77%) of 79 cases were complete and could be used for this study. Patients were segregated according to the cause of their CSFR: 21 (34%) due to head trauma, 14 (23%) due to previous surgery, 7 (11%) due to congenital malformation, and 2 (3%) due to tumor adjacent to the anterior cranial fossa. Of the 61 subjects, 17 (28%) had CSFR without any detectable reason. This group was therefore designated as primary spontaneous CSFR. The body mass indexes (BMIs) of all patients were compared and statistically evaluated. RESULTS: The mean BMI (calculated as weight in kilograms divided by the square of height in meters) of the 17 patients with primary spontaneous CSFR was 34.87, which was significantly higher (P<.001) than the mean BMI of the other 44 patients (28.53). The mean BMI of the group of patients with CSFR due to previous surgery or trauma was significantly lower than the BMI of the group with primary spontaneous CSFR (P<.003), whereas in relation to the group afflicted with tumors and malformations, only a tendency (P<.28) was found. CONCLUSION: Our data suggest that obese patients are at an increased risk to develop primary spontaneous CSFR.

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)0.001
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 score0.028
Threshold uncertainty score0.967

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.018
GPT teacher head0.273
Teacher spread0.255 · 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

Citations22
Published2003
Admission routes1
Has abstractyes

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