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Record W2148044993 · doi:10.1136/bmjopen-2014-004886

Aspirin and clonidine in non-cardiac surgery: acute kidney injury substudy protocol of the Perioperative Ischaemic Evaluation (POISE) 2 randomised controlled trial

2014· article· en· W2148044993 on OpenAlexafffundabout
Amit X. Garg, Andrea Kurz, Daniel I. Sessler, Meaghan S. Cuerden, Andrea Robinson, Marko Mrkobrada, Chirag R. Parikh, Richard Mizera, Philip M. Jones, Maria Tiboni, Ekaterine Popova, Maria Fernanda Rojas Gomez, Christian S. Meyhoff, Tomas VanHelder, Matthew T.V. Chan, David Torres, Joel L. Parlow, Mohammed Amir, Seyed Javad Bidgoli, Laura Pasin, Kristian Martinsen, Germán Málaga, Paul S. Myles, Rey Acedillo, Pavel S Roshanov, Michael Walsh, George K. Dresser, Priya A. Kumar, Edith Fleischmann, Juan Carlos Villar, Bruce Biccard, Sergio D. Bergese, Sadeesh Srinathan, Juan P. Cata, Vincent Chan, Bhupendra Mehra, Kate Leslie, Richard Whitlock, P.J. Devereaux

Bibliographic record

VenueBMJ Open · 2014
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsUniversity of ManitobaKingston General HospitalUniversity of TorontoHamilton Health SciencesSt. Joseph’s Healthcare HamiltonPopulation Health Research InstituteUniversity of WaterlooMcMaster UniversityLondon Health Sciences CentreWestern University
FundersNational Cancer InstituteCanadian Institutes of Health Research
KeywordsMedicinePerioperativeAcute kidney injuryAspirinPlaceboCreatinineKidney diseaseRandomized controlled trialCardiac surgeryAnesthesiaSurgeryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Perioperative Ischaemic Evaluation-2 (POISE-2) is an international 2×2 factorial randomised controlled trial of low-dose aspirin versus placebo and low-dose clonidine versus placebo in patients who undergo non-cardiac surgery. Perioperative aspirin (and possibly clonidine) may reduce the risk of postoperative acute kidney injury (AKI). METHODS AND ANALYSIS: After receipt of grant funding, serial postoperative serum creatinine measurements began to be recorded in consecutive patients enrolled at substudy participating centres. With respect to the study schedule, the last of over 6500 substudy patients from 82 centres in 21 countries were randomised in December 2013. The authors will use logistic regression to estimate the adjusted OR of AKI following surgery (compared with the preoperative serum creatinine value, a postoperative increase ≥26.5 μmol/L in the 2 days following surgery or an increase of ≥50% in the 7 days following surgery) comparing each intervention to placebo, and will report the adjusted relative risk reduction. Alternate definitions of AKI will also be considered, as will the outcome of AKI in subgroups defined by the presence of preoperative chronic kidney disease and preoperative chronic aspirin use. At the time of randomisation, a subpopulation agreed to a single measurement of serum creatinine between 3 and 12 months after surgery, and the authors will examine intervention effects on this outcome. ETHICS AND DISSEMINATION: The authors were competitively awarded a grant from the Canadian Institutes of Health Research for this POISE-2 AKI substudy. Ethics approval was obtained for additional kidney data collection in consecutive patients enrolled at participating centres, which first began for patients enrolled after January 2011. In patients who provided consent, the remaining longer term serum creatinine data will be collected throughout 2014. The results of this study will be reported no later than 2015. CLINICAL TRIAL REGISTRATION NUMBER: NCT01082874.

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)0.018
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.035
Threshold uncertainty score0.116

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.025
Meta-epidemiology (narrow)0.0050.002
Meta-epidemiology (broad)0.0110.005
Bibliometrics0.0010.002
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0070.006
Insufficient payload (model declined to judge)0.0350.007

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 head0.041
GPT teacher head0.403
Teacher spread0.362 · 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 designNot applicable
Domainnot available
GenreProtocol

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

Citations12
Published2014
Admission routes3
Has abstractyes

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