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Record W4401978139 · doi:10.3390/siuj5040047

Oral Dissolution Therapy of Uric Acid Stones: A Systematic Review

2024· review· en· W4401978139 on OpenAlexvenueno aff
Ava Mousavi, Rebecca Takele, Bree’ava Limbrick, Karan N. Thaker, Kymora B. Scotland

Bibliographic record

VenueSociété Internationale d’Urologie Journal · 2024
Typereview
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsUric acidMedicineDissolutionInternal medicineChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Background/Objectives: Uric acid stones are the second most common type of kidney stones worldwide. Despite being cost-effective and widely available, pharmacological management for these stones is less utilized compared to surgical approaches. Therefore, we conducted a systematic review of the literature to assess the efficacy and shortcomings of oral dissolution therapy for uric acid stones. Methods: Embase, Scopus, PubMed, and Cochrane library databases were searched for English language studies on adults who were diagnosed with uric acid kidney stones and treated with oral dissolution therapy. Results: Twelve studies met our inclusion criteria. Potassium citrate was the primary agent used for dissolution in 10 of the studies and demonstrated a 50% or higher success rate for complete dissolution of uric acid stones. Treatment time for successful dissolution varied, with an average of 3 months minimum and an average of 2.78 years maximum. Overall, 11 of the studies recommended that oral dissolution therapy should be used for either treatment or prevention of uric acid stones. Conclusions: The available evidence demonstrates benefit of oral dissolution therapy for patients with uric acid stones. However, future rigorous studies are required to determine the optimal treatment regimen.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.330
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.119
GPT teacher head0.442
Teacher spread0.323 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations5
Published2024
Admission routes1
Has abstractyes

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Same venueSociété Internationale d’Urologie JournalSame topicKidney Stones and Urolithiasis TreatmentsFrench-language works237,207