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Temporal stage and grade migration in surgically treated patients with upper tract urothelial carcinoma

2009· article· en· W2020245988 on OpenAlexaff
Giovanni Lughezzani, Claudio Jeldres, Hendrik Isbarn, Maxine Sun, Shahrokh F. Shariat, Hugues Widmer, Philippe Arjane, Markus Graefen, Paul Perrotte, Francesco Montorsi, Pierre I. Karakiewicz

Bibliographic record

VenueBritish Journal of Urology · 2009
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineQuartileStage (stratigraphy)Proportional hazards modelEpidemiologyCohortPopulationSurgeryCancerInternal medicineConfidence interval

Abstract

fetched live from OpenAlex

STUDY TYPE: Therapy (individual cohort). LEVEL OF EVIDENCE: 2b. OBJECTIVE: To examine the temporal trends in stage and grade at presentation, as well as cancer-specific mortality (CSM) rates, in surgically treated patients with upper tract urothelial carcinoma (UTUC), as few population-based studies addressed contemporary cancer-control outcomes in patients with UTUC. PATIENTS AND METHODS: Within the Surveillance, Epidemiology and End Results (SEER) database, we identified 4915 patients diagnosed with UTUC between 1983 and 2004, who had either a nephroureterectomy (NU) or a segmental ureterectomy (SU). Patients were divided into four groups according to the year-of-surgery quartiles. The chi-square test and the chi-square trend test were used for comparison of proportions and trends over time. Kaplan-Meier plots were used to graphically depict CSM rates. Multivariable Cox regression models were used to test the effect of the year-of-surgery quartiles on CSM. Covariates consisted of SEER stage, tumour grade, age, race, primary tumour site, type of surgery, and SEER registries. RESULTS: Of 4915 assessable patients, 1316, 1328, 1146 and 1125 were, respectively, treated in 1983-1988, 1989-94, 1995-99 and 2000-2004. Of those, 4430 had a NU and 485 had a SU. The rates of non-localized stage and of grade III-IV disease at surgery increased, respectively, from 49.8% to 69.5% (P < 0.001) and 45.7 to 70.2% (P < 0.001) during the study period. CSM rates at 4 years after surgery reflected the temporal stage and grade differences, and increased from 18.2 to 23.9% (P = 0.03) between 1983-1988 and 2000-2004. In multivariable analyses, when stage and grade were taken into account, most contemporary patients showed more favourable CSM rates than their historic counterparts (hazard ratio 0.7, P = 0.02). CONCLUSIONS: We report a stage and grade migration at NU or SU towards more aggressive disease among surgically treated patients between 1983 and 2004. Despite this observation, the CSM rates of contemporary patients have not worsened, which validates the role of NU and SU as effective treatments for UTUC.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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".

Quick stats

Citations47
Published2009
Admission routes1
Has abstractyes

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