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PD10-05 A MULTI-CENTER RANDOMIZED CONTROLLED TRIAL OF AMBULATORY VERSUS INPATIENT PERCUTANEOUS NEPHROLITHOTOMY

2024· article· en· W4394802169 on OpenAlexaboutno aff
Gregory Hosier, Darren Beiko, Heiko Yang, Wilson Sui, David Bayne, Marshall L. Stoller, Thomas Chi

Bibliographic record

VenueThe Journal of Urology · 2024
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsPercutaneous nephrolithotomyAmbulatoryMedicineRandomized controlled trialCenter (category theory)Emergency medicinePercutaneousSurgery

Abstract

fetched live from OpenAlex

You have accessJournal of UrologyStone Disease: Surgical Therapy (including ESWL) II (PD10)1 May 2024PD10-05 A MULTI-CENTER RANDOMIZED CONTROLLED TRIAL OF AMBULATORY VERSUS INPATIENT PERCUTANEOUS NEPHROLITHOTOMY Gregory Hosier, Darren Beiko, Heiko Yang, Wilson Sui, David Bayne, Marshall Stoller, and Thomas Chi Gregory HosierGregory Hosier , Darren BeikoDarren Beiko , Heiko YangHeiko Yang , Wilson SuiWilson Sui , David BayneDavid Bayne , Marshall StollerMarshall Stoller , and Thomas ChiThomas Chi View All Author Informationhttps://doi.org/10.1097/01.JU.0001008748.59024.cb.05AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Ambulatory percutaneous nephrolithotomy (PCNL) has been proposed as a means to speed patient recovery, decrease hospital stay time, and decrease cost compared to inpatient PCNL. Studies evaluating ambulatory PCNL have utilized highly selective selection criteria that preclude the vast majority of PCNL candidates. The goal of our study was to perform a high quality randomized controlled trial of ambulatory versus inpatient PCNL in a representative patient population including those with large stones (>4 cm), BMI>30, and ASA>2. METHODS: This was a multi-center, non-inferiority, randomized controlled trial of ambulatory versus inpatient PCNL at University of Manitoba and University of California, San Francisco. Patients were randomized prior to surgery stratified for ASA, BMI, stone size, and study site. Primary outcomes were complication and readmission rates within 4 weeks of surgery. Secondary outcomes were stone free rate (CT scan 4 weeks after surgery), quality of life (using WisQOL), and return to work time. RESULTS: Of 62 patients (32 ambulatory and 30 inpatient), mean age was 71, 48% were BMI>30, 41% were ASA 3/4, and 31% had stone size >4cm. There was no difference in our primary outcome of complication rate between those who underwent ambulatory (3%) and inpatient PCNL (10%, p=0.33, Table 1). Readmission rate within 4 weeks was not different between the ambulatory (3%) and inpatient group (4%, p=1). Stone free rate was not different between the ambulatory (72%) and inpatient group (73%, p=1). Mean recovery time in hospital after surgery was 2-3 hours in the ambulatory group versus 1 day in the inpatient group. The rate of patients who were able to return to work within 1 week was not different between the ambulatory group (88%) versus the inpatient group (80%, p=0.5). In those randomized to the ambulatory group, 3 (13%) required cross-over to the inpatient group for obstructive sleep apnea monitoring, elevated potassium monitoring, or surgical monitoring. CONCLUSIONS: Ambulatory PCNL has similar complication rates, stone free rates, and readmission rates compared to those who undergo inpatient PCNL. Our results support the use of ambulatory PCNL in patients with BMI>30, ASA>2, and stone size >4 cm who have typically been excluded from consideration for ambulatory PCNL in the past. Source of Funding: This work was supported in part by the 2022 Urology Care Foundation Research Scholar Award Program and the Endourological Society Raju Thomas, MD Award © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e187 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Gregory Hosier More articles by this author Darren Beiko More articles by this author Heiko Yang More articles by this author Wilson Sui More articles by this author David Bayne More articles by this author Marshall Stoller More articles by this author Thomas Chi More articles by this author Expand All Advertisement PDF downloadLoading ...

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)0.005
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0170.001

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.

Opus teacher head0.019
GPT teacher head0.302
Teacher spread0.283 · 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 designRandomized trial
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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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