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Record W2911089011 · doi:10.3899/jrheum.180481

Association of Smoking and Obesity on the Risk of Developing Primary Sjögren Syndrome: A Population-based Cohort Study

2019· article· en· W2911089011 on OpenAlexvenueno aff
Luisa Servioli, Gabriel Maciel, Carlotta Nannini, Cynthia S. Crowson, Eric L. Matteson, Divi Cornec, Alvise Berti

Bibliographic record

VenueThe Journal of Rheumatology · 2019
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
FundersNational Center for Advancing Translational SciencesNational Institute on AgingNational Institutes of Health
KeywordsMedicineObesityCohortCohort studyEpidemiologyPopulationInternal medicineRisk factorMetabolic syndromeEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore the role of smoking and obesity in primary Sjögren syndrome (pSS). METHODS: Olmsted County (Minnesota, USA) residents (n = 106) diagnosed with pSS from 2000 to 2015 were compared to 3 controls without pSS and matched for age and sex who were randomly selected from Olmsted County residents. RESULTS: Current smokers were less likely to be pSS cases (OR 0.34, 95% CI 0.14-0.85), while there was no association between former smoking and case/control status (OR 1.27, 95% CI 0.80-2.03) compared to never smokers. Smoking status was not associated with antinuclear antibody, anti-SSA, anti-SSB, or rheumatoid factor positivity (p > 0.05). OR for obesity was 0.79 (95% CI 0.48-1.30). CONCLUSION: In this population-based study, current smoking was inversely associated with case/control status, while body mass index lacked any association.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.235
Teacher spread0.226 · 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 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

Citations16
Published2019
Admission routes1
Has abstractyes

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