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Use of perioperative treatment (tx) among patients (pts) undergoing radical resection (RR) for muscle-invasive urothelial cancer (MIUC) in France, Germany, Italy, Spain, the United Kingdom, the United States, Canada, China, and Japan.

2022· article· en· W4213178610 on OpenAlexaboutno aff
Edward Broughton, Jürgen E. Gschwend, J. Alfred Witjes, Mia Berry, Michael Kostikas, Rachel Montgomery, A. Lambert, S Teitsson, Neil Milloy

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePerioperativeInternal medicineCancerCisplatinDiseaseChemotherapySurgery

Abstract

fetched live from OpenAlex

467 Background: Cisplatin-based neoadjuvant chemotherapy (NAC) followed by RR is the standard of care in cisplatin-eligible pts with MIUC. Adjuvant chemotherapy (AC) with cisplatin-based tx may be offered to those not given NAC. The unmet need this survey tried to evaluate is the post-RR burden of disease, quality of life (QoL) and perioperative tx patterns among MIUC pts. Methods: Real-world descriptive data were drawn from Adelphi’s MIUC Disease-Specific Programme: A point-in-time survey conducted with clinical/medical oncologists/urologists and their pts in 9 countries between January and June 2021. Physicians completed a survey on their pts’ clinical characteristics and tx patterns, while pts voluntarily completed a series of patient-reported outcome measures. Results: Of 2178 pts (data provided by 320 physicians), 30% received NAC only, 26% received AC only, 38% received no NAC or AC tx, and 6% received both. 1744 pts had initial tumour in the bladder; 35% received NAC only, 24% AC only, 35% no NAC or AC tx, and 6% received both. Of 387 pts with upper-tract urothelial carcinoma (UTUC), 51% received no NAC/AC tx, 35% received AC only, and 12% NAC only. More pts with T3 disease received no NAC/AC tx (36%) or NAC (35%) than AC (24%). Of 734 pts with nodal disease, 36% received NAC only. Of all pts, 60% experienced symptoms at data abstraction: 50% in pts who received NAC only, 71% in pts who received AC only and 82% in pts of those who received both. Pts reported similar EQ-5D-5L utility index scores (mean = 0.86; range: 0.84 [AC only] to 0.89 [NAC only]). Overall, feeling pain (40%) and stress (39%) were the EQ-5D domains with the worst scores. Pts who received AC only reported nominally lower EQ-5D visual analogue scale scores (71.11) compared with pts who received no NAC/AC (73.17) or pts who received NAC only (75.05). EORTC QLQ-C30 Global Health Status scores were 60.0 in pts who received AC only, 64.1 in pts who received NAC only or no NAC/AC, and 66.7 for pts who received both NAC and AC. Conclusions: Nearly 40% of pts remain untreated in either NAC or AC setting in 9 countries. A higher proportion of pts with UTUC go untreated. AC was more frequently used in UTUC vs BC pts; and in pts with Tis. NAC was implemented more frequently in pts T3 disease and in those with N+ disease. Pts who received AC appear to have nominally worse QOL and more symptoms, further demonstrating the need for efficacious adjuvant tx that does not decrease post-RR QoL.[Table: see text]

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)0.000
metaresearch head score (Gemma)0.002
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 score0.986
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.087
GPT teacher head0.384
Teacher spread0.297 · 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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Citations0
Published2022
Admission routes1
Has abstractyes

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