Defining the publication source of high‐quality evidence in urology: an analysis of EvidenceUpdates
Bibliographic record
Abstract
OBJECTIVES: To determine the publication sources of urology articles within EvidenceUpdates, a second-order peer review system of the medical literature designed to identify high-quality articles to support up-to-date and evidence-based clinical decisions. MATERIALS AND METHODS: Using administrator-level access, all EvidenceUpdates citations from 2005 to 2014 were downloaded from the topics 'Surgery-Urology' and 'Oncology-Genitourinary'. Data fields accessed included PubMed unique reference identifier, study title, abstract, journal and date of publication, as well as clinical relevance and newsworthiness ratings as determined by discipline-specific physician raters. The citations were then coded by clinical topic (oncology, voiding dysfunction, erectile dysfunction/infertility, infection/inflammation, stones/endourology/laparoscopy, trauma/reconstruction, transplant, or other), journal category (general medical journal, oncology journal, urology journal, non-urology specialty journal, Cochrane review, or other), and study design (randomised controlled trial [RCT], systematic review, observational study, or other). Articles that were perceived to be misclassified and/or of no direct interest to urologists were excluded. Descriptive statistics using proportions and 95% confidence intervals, as well as means and standard deviations (SDs) were used to characterise the overall data cohort and to analyse trends over time. RESULTS: We identified 731 unique citations classified under either 'Surgery-Urology' or 'Oncology-Genitourinary' for analysis after exclusions. Between 2005 and 2014, the most common topics were oncology (48.6%, 355 articles) and voiding dysfunction (21.8%, 159). Within the topic of oncology, prostate cancer contributed over half the studies (54.6%, n = 194). The most common study types were RCTs (42.3%, 309 articles) and systematic reviews (39.6%, 290). Systematic reviews had a nearly fourfold relative increase within less than a decade. The largest proportion of studies relevant to urology were published in general oncology journals (20.0%, n = 146), followed by the Cochrane Library (19.3%, n = 141) and general medical journals (17.2%, n = 126). Urology-specific journals contributed to only approximately one-tenth of EvidenceUpdates alerts (9.4%, n = 69), with the highest contribution occurring during the 2013/2014 period. For clinical relevance and newsworthiness scores (each graded on scales of 1-7), urology journals scored the highest in clinical relevance with a mean (SD) of 5.9 (0.75) and general medical journals scored highest for newsworthiness at 5.3 (0.94). On average, RCTs scored highest both for clinical relevance and newsworthiness with mean (SD) scores of 5.71 (0.81) and 5.22 (0.91), respectively. CONCLUSION: A large number of high-quality, clinically relevant, and newsworthy peer-reviewed urology publications are published outside of traditional urology journals. This requires urologists to implement well-defined strategies to stay abreast of current best evidence.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.308 | 0.821 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.010 |
| Bibliometrics | 0.140 | 0.145 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.024 | 0.017 |
| Open science | 0.006 | 0.014 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".