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Record W4210679761 · doi:10.1002/nau.24887

Association of stone surgery with patient‐reported complications after spinal cord injury

2022· article· en· W4210679761 on OpenAlexaff
Khushabu Kasabwala, Michael S. Borofsky, Shawn Grove, Sara Lenherr, Jeremy B. Myers, John T. Stoffel, Blayne Welk, Sean P. Elliott

Bibliographic record

VenueNeurourology and Urodynamics · 2022
Typearticle
Languageen
FieldMedicine
TopicKidney Stones and Urolithiasis Treatments
Canadian institutionsWestern University
FundersPatient-Centered Outcomes Research Institute
KeywordsMedicineSpinal cord injurySurgeryIncidence (geometry)Quality of life (healthcare)Observational studyBladder stoneBladder stonesUrinary systemInternal medicineSpinal cord

Abstract

fetched live from OpenAlex

AIMS: To determine if a history of urinary stone surgery in individuals with spinal cord injury (SCI) is associated with an increased incidence of SCI-related complications and lower quality of life (QOL). METHODS: The Neurogenic Bladder Research Group (NBRG) registry is a multicenter, prospective, observational study which measures QOL after acquired SCI. Over 1.5 years, 1479 participants were enrolled and grouped according to history of stone surgery. We evaluated SCI-related complications, QOL, and associations between patient factors and prior stone surgery using multivariable regression. RESULTS: Participants were a median of 11 years post-SCI and 189 (12.8%) reported prior bladder or kidney stone surgery; 95.8% of these occurred after the SCI. Median time between SCI and first stone was 5.6 years (IQR: 1.8-12.8). Hospitalizations were higher for those with prior stone surgery, with common reasons including UTIs, blood clots, pressure ulcers, and pneumonia (p < 0.001). During the year of observation, the incidence of stone surgery was 17% in those with a prior history of stone surgery and 2% per year in those without prior stone surgery (p < 0.001). Controlling for covariates, bladder management strategy, age, BMI, and years since SCI were associated with history of stone surgery. CONCLUSIONS: People with SCI and a history of surgical stone disease are at high risk for episodes of recurrent stones and increased hospitalizations, particularly those with kidney stones and indwelling catheter use. Identification of high-risk patients may guide tailored surveillance for complications and stone prevention strategies.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.420

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)0.0000.000

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 head0.013
GPT teacher head0.264
Teacher spread0.251 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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