MétaCan
Menu
Back to cohort
Record W4245626450 · doi:10.33393/gcnd.2019.507

Rivaroxaban e malattia renale cronica: evidenze dal presente e prospettive future

2019· article· en· W4245626450 on OpenAlexaboutno aff
Luca Di Lullo, Claudio Ronco, Fulvio Floccari, Antonio De Pascalis, Vincenzo Bàrbera, Rodolfo Rivera, Antonio Bellasi

Bibliographic record

VenueGiornale di Clinica Nefrologica e Dialisi · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRivaroxabanAtrial fibrillationKidney diseaseInternal medicineIncidence (geometry)Impaired renal functionEnd stage renal diseaseCardiologyRenal functionIntensive care medicineDiseaseWarfarin

Abstract

fetched live from OpenAlex

Cardiovascular diseases represent the main cause of comorbidly in chronic kidney disease (CKD) patients, with a 7% incidence in atrial fibrillation (AF) in end-stage renal disease (ESRD) patients. Until recently, prophylactic treatment of atrial fibrillation complications (such as thromboembolism) was mainly based on vitamin K antagonists (VKA) or heparin. In the last years, direct oral anticoagulants (DOACs) have been made available; however, their renal clearance limits their use on patients with severe renal impairment (eGFR <15 mL/min). Among DOACs, Rivaroxaban, a factor X-activated (Xa) inhibitor, shows good renal profile and it can be used in CKD patients up to stage 4 as well as in ESRD patients (at the moment only in North America and Canada). (Cardionephrology)

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)0.009
metaresearch head score (Gemma)0.015
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.015
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.002

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 head0.065
GPT teacher head0.359
Teacher spread0.294 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueGiornale di Clinica Nefrologica e DialisiSame topicAtrial Fibrillation Management and OutcomesFrench-language works237,207