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Record W3011976965 · doi:10.21037/tau.2020.01.22

Incidence and preoperative predictors for major complications following radical nephroureterectomy

2020· article· en· W3011976965 on OpenAlexaff
Neil J. Kocher, David Canes, Karim Bensalah, Morgan Rouprêt, Costas D. Lallas, Vitaly Margulis, Shahrokh F. Shariat, Pierre Colin, Surena F. Matin, Chad R. Tracy, Évanguelos Xylinas, Andrew Wagner, M. Roumiguié, Wassim Kassouf, Tobias Klatte, Jay D. Raman

Bibliographic record

VenueTranslational Andrology and Urology · 2020
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsMcGill University Health Centre
FundersPennsylvania State UniversityUniversity of Pennsylvania
KeywordsMedicineComorbidityCohortIncidence (geometry)Charlson comorbidity indexLogistic regressionDiabetes mellitusKidney diseaseInternal medicineUnivariate analysisSurgeryMultivariate analysis

Abstract

fetched live from OpenAlex

BACKGROUND: Radical nephroureterectomy (RNU) is the referent standard for managing bulky, invasive, or high grade upper-tract urothelial carcinoma (UTUC). The UTUC patient population, however, generally harbor medical comorbidities thereby placing them at risk of surgical complications. This study reviews a large international cohort of RNU patients to define the risk of major complications and preoperative factors associated with their occurrence. METHODS: Patients undergoing RNU at 14 academic medical centers between 2002 and 2015 were retrospectively reviewed. Preoperative clinical, demographic, operative, and comorbidity indices were recorded. The modified Clavien-Dindo index was used to grade complications occurring within 30 days of surgery. The association between preoperative variables and major complications occurring after RNU was determined by multivariable logistic regression. RESULTS: were included. Over three-quarters of the cohort was white, 50.1% had baseline chronic kidney disease (CKD) ≥ stage III, 22.4% had a Charlson comorbidity index (CCI) score >5, and 17.1% had an Eastern Cooperative Oncology Group (ECOG) performance status ≥2. Overall, 413 (32.6%) experienced a complication including 103 (8.1%) with a major event. Specific distribution of major complications included 49 Clavien III, 44 Clavien IV, and 10 Clavien V. On univariate analysis, patient age (P=0.006), hypertension (P=0.002), diabetes mellitus (P=0.023), CKD stage (P<0.001), American Society of Anesthesiologists (ASA) score (P=0.022), ECOG (P<0.001), and CCI (P<0.001) all were associated with major complications. On multivariate analysis, ECOG ≥2 (OR 2.38, 95% CI, 1.46-3.90), P=0.001), CCI >5 (OR 3.45, 95% CI, 1.41-8.33, P=0.007), and CKD stage ≥3 (OR 3.64, P=0.008) were independently associated with major complications. CONCLUSIONS: Major complications following RNU occurred in almost 10% of patients. Impaired preoperative performance status and baseline CKD are preoperative variables associated with these major post-surgical adverse event. These easily measurable indices warrant consideration and discussion prior to proceeding with RNU.

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 score0.065
Threshold uncertainty score0.348

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 head0.024
GPT teacher head0.289
Teacher spread0.265 · 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

Citations20
Published2020
Admission routes1
Has abstractyes

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