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Record W2756416780 · doi:10.4103/tcmj.tcmj_62_17

Cardiovascular comorbidities of rheumatoid arthritis in Taiwanese adults: A retrospective single-center study

2017· article· en· W2756416780 on OpenAlexaff
Malcolm Koo, Ning‐Sheng Lai, Chun-Lung Wang, Ming‐Chi Lu

Bibliographic record

VenueTzu Chi Medical Journal · 2017
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersDalin Tzu Chi Hospital
KeywordsMedicineHyperlipidemiaRheumatoid arthritisDiabetes mellitusInternal medicineOdds ratioMedical recordRetrospective cohort studyConfidence intervalComorbidityLogistic regressionEndocrinology

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the association between rheumatoid arthritis (RA) and cardiovascular comorbidities, including hyperlipidemia, hypertension, and diabetes, in Taiwanese patients based on the data from medical records. MATERIALS AND METHODS: A retrospective study was performed using the computerized medical records from a regional hospital located in southern Taiwan. A total of 2293 patients (age range 30-79 years) with a diagnosis of RA (International Classification of Diseases, Ninth Revision, Clinical Modification code 714.0) treated since the opening of the study hospital in July 2000 until February 2013 were included. The RA cases were frequency matched for age and sex with 9172 patients without RA. The associations of RA with hyperlipidemia, hypertension, and diabetes were evaluated using multiple logistic regression analysis. RESULTS: < 0.001) were observed. However, diabetes was not significantly associated with RA in either male or female patients. CONCLUSION: Findings from this retrospective medical record study indicated that hyperlipidemia and hypertension were significant cardiovascular comorbidities of RA.

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.283
Teacher spread0.265 · 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.

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

Citations1
Published2017
Admission routes1
Has abstractyes

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