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Record W4318166210 · doi:10.1701/3966.39449

Sviluppo di eventi cardiovascolari in un’ampia popolazione di pazienti affetti da artrite reumatoide con o senza diabete

2023· article· en· W4318166210 on OpenAlex
Silvia Calabria, Giulia Ronconi, Letizia Dondi, Carlo Piccinni, Antonella Pedrini, Leonardo Dondi, Irene Dell’Anno, Immacolata Esposito, Alice Addesi, Nello Martini, Aldo P. Maggioni

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRecenti Progressi in Medicina · 2023
Typearticle
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsHealth Care Foundation
Fundersnot available
KeywordsMedicineDiabetes mellitusInternal medicineDyslipidemiaComorbidityStroke (engine)COPDRheumatoid arthritisCohortCoronary artery diseasePopulationType 2 diabetesDiseaseEndocrinology

Abstract

fetched live from OpenAlex

INTRODUCTION: Rheumatoid arthritis (Ra) and diabetes are often associated with chronic multimorbidity and share the high risk of development of major cardiovascular events (Mace). This study aimed to identify and analyse patients with only Ra, Ra + diabetes, and only diabetes, in terms of comorbidities and new occurrence of Cv events, from the perspective of the Italian national health service (Inhs). METHODS: Starting from the Fondazione ricerca e salute (ReS)'s database, through the record linkage of administrative healthcare data, cohorts with only Ra, Ra + diabetes and only diabetes have been selected, characterized (age and sex), and analysed by comorbidity (depression, dyslipidemia, hypertension, hemorrhagic stroke and ischemic stroke/transient ischemic attack - Tia, coronary artery disease - Cad, heart failure - Hf, chronic liver disease, periphery artery disease - Pad, chronic kidney disease, asthma/chronic obstructive pulmonary disease - Copd, neoplasia) and by new Cv events (Hf, Cad and ischemic stroke/Tia) within two follow-up years (Kaplan-Meier curves). A logistic regression model defined contribution and type of association of some variables on new Cv events. RESULTS: In 2018, from 5.375.531 Inhs beneficiaries in the ReS database, 13.698 (0.25%) were affected by only Ra, 1728 (0.03%) by Ra + diabetes, 347,659 (6.8%) by only diabetes. The only Ra cohort was composed by more females, younger and with less comorbidities patients. Proportions of 79.3%, 70.8% and 38.5% of patients with Ra + diabetes, only diabetes and only Ra were affected by 2 to ≥4 comorbidities: among patients with Ra + diabetes, comorbidities showed the highest frequencies, mainly hypertension, dyslipidemia and asthma/Copd. Within two follow-up years, about 8% of patients with diabetes with/without Ra developed a new Cv event (vs 3% with only Ra). The presence of Ra/diabetes or Ra + diabetes, male sex, older age and comorbidities of interest resulted significantly (p<0.01) associated with a higher Cv risk. CONCLUSIONS: Comorbidities and the co-presence of diabetes in patients with Ra determine a complicated framework with high risk of Cv events. It is worthy include more complex patients in clinical trials, in order to generate evidence useful for even more multidisciplinary medical teams.

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.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
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 head0.022
GPT teacher head0.311
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