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Record W4245610240 · doi:10.3410/f.717598025.793052940

Faculty Opinions recommendation of Effect of fish oil supplementation on graft patency and cardiovascular events among patients with new synthetic arteriovenous hemodialysis grafts: a randomized controlled trial.

2012· dataset· en· W4245610240 on OpenAlexfundno aff
Bernd Schröppel

Bibliographic record

VenueFaculty Opinions – Post-Publication Peer Review of the Biomedical Literature · 2012
Typedataset
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsnot available
FundersNational Institute of Diabetes and Digestive and Kidney DiseasesCanadian Institutes of Health ResearchFondation pour la Recherche MédicaleGovernment of Canada
KeywordsMedicineRandomized controlled trialHemodialysisContext (archaeology)DialysisThrombosisArteriovenous fistulaSurgery

Abstract

fetched live from OpenAlex

Context-Arteriovenous grafts, an important option for hemodialysis vascular access, are prone to recurrent stenosis and thrombosis.Objective-To determine the effect of fish oil on arteriovenous graft patency and cardiovascular events.Design, Setting and Patients-Randomized, double-blind, controlled clinical trial (FISH Study) conducted at 15 North American dialysis centres from November 2003-December 2010 enrolled 201 participants with stage 5 chronic kidney disease (50% female, 63% Caucasian, 53% diabetic) and followed them for 12 months after graft creation Interventions-Random allocation to daily fish oil capsules (4×1 gram) or matching placebo on day 7 after graft creation.Main Outcome Measure-The proportion of participants experiencing a graft thrombosis or radiological or surgical intervention during 12 months follow-up.

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)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.088
Threshold uncertainty score0.293

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.004
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0880.008

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 head0.016
GPT teacher head0.319
Teacher spread0.304 · 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 designRandomized trial
Domainnot available
GenreDataset

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
Published2012
Admission routes1
Has abstractyes

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