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Record W2908807534 · doi:10.1177/2054358118821945

Canadian Nephrologist Views Regarding Stroke and Systemic Embolism Prevention in Dialysis Patients With Nonvalvular Atrial Fibrillation: A Survey

2019· article· en· W2908807534 on OpenAlexaffabout
David Collister, Jeff S. Healey, David Conen, K. Scott Brimble, Claudio Rigatto, Ziv Harel, Manish M. Sood, Michael Walsh

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2019
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsUniversity of OttawaUniversity of ManitobaSt. Joseph’s Healthcare HamiltonUniversity of TorontoMcMaster UniversityPopulation Health Research Institute
Fundersnot available
KeywordsMedicineApixabanAtrial fibrillationStroke (engine)Internal medicineNephrologyRivaroxabanKidney diseaseDialysisWarfarinEmbolismCardiologyIntensive care medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Nonvalvular atrial fibrillation (NVAF) is an independent risk factor for ischemic stroke and is common in chronic kidney disease (CKD) and dialysis patients. The use of oral anticoagulation to prevent stroke and systemic embolism in the setting of kidney disease is controversial. Novel alternatives to vitamin K antagonists include left atrial appendage occlusion devices (LAAOD) and apixaban. OBJECTIVE: We sought to elicit Canadian nephrologist views regarding stroke and systemic embolism prevention therapies in CKD and dialysis patients with NVAF. DESIGN: Survey. SETTING: Online via https://www.surveymonkey.com. PARTICIPANTS: Canadian Society of Nephrology members actively treating adult dialysis patients with NVAF. MEASUREMENTS: ). METHODS: We randomly allocated each respondent to 2 of 4 cases that varied by stroke and bleeding risks (using varying CHADS2 and HASBLED scores, respectively). RESULTS: There were 91 responses (36.3% response rate) from mostly university (83.5%) and also community with university affiliation (12.1%) and community (4.4%) nephrologists. Warfarin was more likely to be recommended in individuals at high stroke risk and low bleeding risk (mean = 5.47, 95% confidence interval = 4.87-6.07) and less likely to be recommended in individuals at moderate stroke risk and high bleeding risk (mean = 2.89, 95% confidence interval = 2.37-3.41). The likelihood of recommending LAAOD did not vary by stroke or bleeding risks (means ranging from 3.92-4.90). Apixaban was not likely to be recommended in any case (means ranging from 2.60-3.50). However, nephrologists felt there was equipoise regarding anticoagulation strategies allowing participation in appropriate randomized controlled trials (RCTs). LIMITATIONS: The survey only involved nephrologists and only 4 cases with dichotomized risk categories were presented instead of complete range of stroke and bleeding risk combinations. As with any survey, there was the potential for responder bias and treatment decisions are not anchored directly to patient management. CONCLUSIONS: Nephrologists caring for patients with kidney disease appear willing to include patients in clinical trials examining alternatives to warfarin for stroke and systemic embolism prevention for NVAF in the setting of kidney disease.

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)0.003
metaresearch head score (Gemma)0.010
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 score0.094
Threshold uncertainty score0.188

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.294
Teacher spread0.263 · 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".

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Citations5
Published2019
Admission routes2
Has abstractyes

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