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MP39-14 IS STONE-FREE STATUS AFTER SURGICAL INTERVENTION FOR KIDNEY STONES ASSOCIATED WITH BETTER HEALTH-RELATED QUALITY OF LIFE? A MULTICENTER STUDY FROM THE NORTH AMERICAN STONE QUALITY OF LIFE CONSORTIUM

2019· article· en· W4247054307 on OpenAlexaboutno aff
Matthew Galida, Stephen Y. Nakada, Shuang Li, Vernon M. Pais, Eric Raffin, Ben H. Chew, Kristina L. Penniston

Bibliographic record

VenueThe Journal of Urology · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare cost, quality, practices
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineQuality of life (healthcare)Intervention (counseling)Kidney stone diseaseKidney stonesEpidemiologyGerontologyFamily medicineGeneral surgerySurgeryInternal medicineNursing

Abstract

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You have accessJournal of UrologyGeneral & Epidemiological Trends & Socioeconomics: Practice Patterns, Quality of Life and Shared Decision Making II (MP39)1 Apr 2019MP39-14 IS STONE-FREE STATUS AFTER SURGICAL INTERVENTION FOR KIDNEY STONES ASSOCIATED WITH BETTER HEALTH-RELATED QUALITY OF LIFE? A MULTICENTER STUDY FROM THE NORTH AMERICAN STONE QUALITY OF LIFE CONSORTIUM Necole Streeper*, Matthew Galida, Stephen Nakada, Shuang Li, Vernon Pais, Eric Raffin, Ben Chew, and Kristina Penniston Necole Streeper*Necole Streeper* More articles by this author , Matthew GalidaMatthew Galida More articles by this author , Stephen NakadaStephen Nakada More articles by this author , Shuang LiShuang Li More articles by this author , Vernon PaisVernon Pais More articles by this author , Eric RaffinEric Raffin More articles by this author , Ben ChewBen Chew More articles by this author , and Kristina PennistonKristina Penniston More articles by this author View All Author Informationhttps://doi.org/10.1097/01.JU.0000556061.99621.ebAboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVES: Kidney stones cause impaired health-related quality of life (HRQOL), which has become an increasingly important outcome measurement. The aim of this study was to compare the HRQOL of patients with residual stone fragments after surgical intervention for kidney stones to patients that are stone-free using the disease-specific Wisconsin Stone Quality of Life (WISQOL) questionnaire. METHODS: With IRB approval, 282 adult patients who underwent surgical intervention for kidney stones at 4 centers completed a WISQOL questionnaire. We retrospectively collected surgical data including presence of residual fragments on post-operative imaging. We calculated standardized WISQOL total and domain scores (0-100), including social functioning (D1), emotional functioning (D2), stone-related impact (D3) and vitality (D4). Scores were compared between patients with residual fragments to those who were stone-free on the laterality of the surgical intervention. RESULTS: Demographics did not differ between groups, overall mean age 55.2 ± 13.7 and 51.8% male. There was no significant difference in total WISQOL score for patients with residual stone fragments (n=148) compared to patients that were stone-free (n=134), 112.9 ± 25.8 vs 117.3 ± 22.8 respectively, (p=0.17). In addition, there was no significant difference for individual domain scores (D1: 82.8 vs 87.4, p= 0.13, D2: 72.0 vs 77.6, p= 0.11, D3: 72.9 vs 76.0, p= 0.32, D4: 70.5 vs 71.7, p= 0.75). However, compared to stone-free patients those with residual stone fragments reported significantly more frustration with their situation (4.08 ± 1.16 vs 3.73 ± 1.40, p = 0.03). Furthermore, patients with residual fragments who underwent secondary stone surgery were found to have significantly lower total WISQOL score (87.3 vs 114.2, p= 0.04). CONCLUSIONS: Preliminary evidence suggests that stone-free status after surgical intervention is not associated with better HRQOL. Further surgical intervention on residual fragments to achieve stone free-status may actually result in worse HRQOL. These results suggest that in a properly counseled patient, surveillance of non-obstructing residual stone fragments may be an acceptable management strategy. Identifying that patients with residual fragments may have more frustration with their situation may help to improve patient counseling and properly set expectations. Source of Funding: none Hershey, PA; Madison, WI; Lebanon, NH; Vancouver, Canada; Madison, WI© 2019 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 201Issue Supplement 4April 2019Page: e550-e550 Advertisement Copyright & Permissions© 2019 by American Urological Association Education and Research, Inc.MetricsAuthor Information Necole Streeper* More articles by this author Matthew Galida More articles by this author Stephen Nakada More articles by this author Shuang Li More articles by this author Vernon Pais More articles by this author Eric Raffin More articles by this author Ben Chew More articles by this author Kristina Penniston 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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.253
GPT teacher head0.485
Teacher spread0.232 · 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 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".

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Published2019
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