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Record W2973969701 · doi:10.5489/cuaj.6249

Evidence synthesis and dissemination

2019· editorial· en· W2973969701 on OpenAlexaffvenueabout
Adriana Modica, D. Robert Siemens

Bibliographic record

VenueCanadian Urological Association Journal · 2019
Typeeditorial
Languageen
FieldDecision Sciences
TopicMeta-analysis and systematic reviews
Canadian institutionsQueen's University
Fundersnot available
KeywordsComputer scienceComputational biologyBiology

Abstract

fetched live from OpenAlex

A s the warm weather of the summer winds down and the routine of our professional and administrative jobs wind back up, readers catching up with CUAJ will no doubt be impressed with the number of exceptionally well-written and helpful pieces featured in this month's issue, including a best practice report, a Cochrane review, a consensus statement, and a highly anticipated clinical guideline update.In fact, since the beginning of the summer, there have been nine guidelines/ consensus statements published, spanning a wide range of clinical issues -from pediatric conditions (stones, sports and a solitary kidney) to neurogenic voiding dysfunction and a myriad of cancer-related topics.As CUA members and habitual readers of the journal will likely recognize, we publish these evidence syntheses and recommendations in various formats; all of these can be accessed via the CUAJ website, archived under the "Resources" menu of the homepage (cuaj.ca).Official CUA guidelines are commissioned by the association, with the support of the dedicated members of the CUA Guidelines Committee, for the purpose of creating national recommendations.Full-length guidelines are reserved for broader topics that require comprehensive exploration, and the resulting evidence synthesis leads to grades of recommendation, generally employing the International Consultation on Urologic Disease (ICUD)/WHO modified Oxford Center for Evidence-Based Medicine grading system or, in certain circumstances where appropriate, GRADE methodology.Best Practice Reports (BPRs), on the other hand, provide a more focused, concise summary of the best evidence available on common urological topics to help guide management decisions.Both formats are subject to the official CUA guideline approval process, which includes peer-reviews by the Guidelines Committee, CUA members at large, and the CUA Executive Board.These enormous efforts in evidence synthesis and distillation to create clinically relevant recommendations are often supported by other groups associated with the CUA -including the Canadian Urological Oncology Group (CUOG), the Kidney Cancer Research Network of Canada, and other expert healthcare groups/practitioners -in order to ensure all relevant constituencies are represented.In this issue of CUAJ, the 2019 update of the CUA-CUOG guideline for the management of castration-resistant prostate cancer is a must-read, as it includes important updates in non-metastatic CRPC treatment and highlights supportive care to minimize disease-related skeletal complications.The BPR on sports and children with a solitary kidney provides very practical and balanced advice around contact and non-contact sports and other higher-risk activities and is a valuable source of information for both clinicians and caregivers.At times, value lies in recognizing evidence gaps.In that vein, this month's Cochrane review on the treatment of urinary stones in children -the first in a series of urologyfocused co-publications between the CUA and the Cochrane Group -highlights the dearth of high-quality data with regard to effectiveness and adverse events associated with various interventions for the treatment of pediatric nephrolithiasis.An accompanying commentary led by CUAJ Associate Editor, Martin Koyle, underscores this fact.The Cochrane Group is a global, independent network that gathers and summarizes the most high-quality, relevant, and up-to-date research evidence to guide informed choices about treatment.Our co-publishing initiative allows us to increase visibility of the evidence (or lack thereof) to Canadian audiences who might not otherwise access the Cochrane library.Commentaries, such as Dr. Koyle's, will be included with every Cochrane piece we publish to ensure a balanced and Canadian perspective on each topic.It is our hope that we continue to present our readers with the highest-quality evidence, synthesized and disseminated in such a way as to enhance clinical decision-making.

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)0.157
metaresearch head score (Gemma)0.502
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.994
Threshold uncertainty score0.830

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1570.502
Meta-epidemiology (narrow)0.0080.007
Meta-epidemiology (broad)0.0310.032
Bibliometrics0.0450.030
Science and technology studies0.0040.008
Scholarly communication0.0230.012
Open science0.0100.010
Research integrity0.0200.014
Insufficient payload (model declined to judge)0.1720.041

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 head0.318
GPT teacher head0.439
Teacher spread0.121 · 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.

Study designNot applicable
DomainMethods
GenreEditorial

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 routes3
Has abstractyes

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