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Record W4416414687 · doi:10.1097/ju.0000000000004844

Surgical Management of Kidney and Ureteral Stones: AUA Guideline (2026). Part III: Treatment of Patients With Kidney and/or Ureteral Stones and Future Directions

2025· article· en· W4416414687 on OpenAlexaff
Margaret S. Pearle, Brian R. Matlaga, Jodi Antonelli, Thomas Chi, Ryan S. Hsi, Sennett K. Kim, Erin Kirkby, Bodo E. Knudsen, Kevin Koo, Naim M. Maalouf, Vernon M. Pais, Kristina L. Penniston, Kymora B. Scotland, Lesley Souter, Necole M. Streeper, Gregory E. Tasian, Kyle D. Wood, Justin B. Ziemba

Bibliographic record

VenueThe Journal of Urology · 2025
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsSmiths Detection (Canada)
Fundersnot available
KeywordsGuidelineUrinary systemKidneyKidney stonesUreterSelection (genetic algorithm)Kidney disease

Abstract

fetched live from OpenAlex

PURPOSE: This Guideline covers the surgical treatment of patients with kidney and/or ureteral stones and is intended for clinicians evaluating and managing patients with these diseases. The summary presented herein represents Part III of the 3-part series dedicated to Surgical Management of Kidney and Ureteral Stones and Future Directions. MATERIALS AND METHODS: This systematic review was conducted in 2 planned stages, including a search for systematic reviews followed by a search for primary literature. OVID was used to systematically search MEDLINE and EMBASE databases for articles evaluating surgical management of kidney and ureteral stones. The Panel selected control articles that were deemed relevant and the articles were compared with the literature search strategy output. The methodologist then updated the strategy as necessary to capture all control articles. Databases were searched for studies published from January 2000 through May 2025 (week 20). In addition to the MEDLINE and EMBASE databases searches, reference lists of included systematic reviews and primary literature were scanned for potentially useful studies. RESULTS: The Panel addressed adult and pediatric patients with kidney and/or ureteral stones for whom surgical intervention may be indicated. Each statement herein addressed a particular patient scenario for which the choice of surgical intervention was reviewed and justified. In addition, the Panel reviewed and analyzed the utility of specific surgical techniques, technologies, or medications aimed at improving patient outcomes. CONCLUSIONS: Selection of optimal treatment modalities for patients with kidney and/or ureteral stones is determined by patient factors, urinary tract anatomy, and stone characteristics and are guided by shared decision-making that additionally takes into account patient goals and preferences, resource availability, and physician expertise. This Guideline serves as a resource for clinicians and patients to provide the best available evidence on which to base discussions with patients in a shared decision-making process to arrive at appropriate treatment decisions.

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)0.009
metaresearch head score (Gemma)0.021
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: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.005
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0030.002
Research integrity0.0060.004
Insufficient payload (model declined to judge)0.0030.004

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 head0.009
GPT teacher head0.275
Teacher spread0.266 · 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
GenreMethods

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

Citations4
Published2025
Admission routes1
Has abstractyes

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