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Record W4212873838 · doi:10.3390/uro2010007

Safety and Efficacy of Simultaneous Bilateral Percutaneous Nephrolithotomy

2022· article· en· W4212873838 on OpenAlexaff
Victor K. Wong, Colin Lundeen, Ryan F. Paterson, Kymora B. Scotland, Ben H. Chew

Bibliographic record

VenueUro · 2022
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicinePercutaneous nephrolithotomyBlood lossSurgeryPercutaneousRetrospective cohort studyKidney stonesPain reliefAnesthesia

Abstract

fetched live from OpenAlex

A retrospective review was conducted to evaluate intraoperative and patient outcomes following simultaneous bilateral percutaneous nephrolithotomy (SB-PCNL). Target stone characteristics, operative time, hospitalization length, post-operative complications, blood loss, opioid use, pain, and stone-free rates were evaluated. In total, 42 patients with large renal stones (>20 mm2) were identified for this study, and 38% of them achieved stone-free status with no residual fragments apparent on post-operative day one CT imaging. The maximum mean residual fragment size was 3.67 mm2 and average number of residual fragments following the procedures was 1.63. The rates of blood loss, post-operative complications, opioid use, and pain from the study cohort were similar to the reported outcomes of studies conducted by others. The potential benefits of a single procedure and anesthesia to treat bilateral stone burdens, lower total pain medication prescribed, and lower hospital costs render SB-PCNL as an attractive option in the treatment of bilateral kidney stones.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.689
Threshold uncertainty score0.560

Codex and Gemma teacher scores by category

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

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 head0.009
GPT teacher head0.255
Teacher spread0.246 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2022
Admission routes1
Has abstractyes

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