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Record W4384627400 · doi:10.34067/kid.0000000000000214

Kidney and Cancer Outcomes with Standard Versus Alternative Chemotherapy Regimens for First-Line Treatment of Metastatic Urothelial Carcinoma

2023· article· en· W4384627400 on OpenAlexaff
Gabrielle Côté, Husam Alqaisi, Christopher T. Chan, Di Jiang, Christopher Kandel, Karyne Pelletier, Ron Wald, Srikala S. Sridhar, Abhijat Kitchlu

Bibliographic record

VenueKidney360 · 2023
Typearticle
Languageen
FieldMedicine
TopicBladder and Urothelial Cancer Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
FundersAmerican Society of Nephrology
KeywordsGemcitabineCarboplatinMedicineRegimenCisplatinOncologyInternal medicineChemotherapyMetastatic Urothelial CarcinomaInterquartile rangeRenal functionUrologyCancerBladder cancerUrothelial carcinoma

Abstract

fetched live from OpenAlex

Key Points Many patients with metastatic urothelial carcinoma are deemed cisplatin-ineligible because of reduced kidney function. Options include split-dose cisplatin or carboplatin. There was no significant association between regimen type and AKI. Alternative regimens were associated with higher risk of progressive disease. There is a need to revisit cisplatin eligibility criteria and develop strategies to optimize cancer treatment for patients with CKD. Background Cisplatin-based chemotherapy regimens remain the optimal first-line treatment for patients with metastatic urothelial carcinoma (mUC). However, many patients are deemed cisplatin-ineligible, predominantly because of reduced kidney function. Other treatment options include split-dose cisplatin, carboplatin, and non–platinum-based regimens. We compared the incidence of AKI and cancer outcomes within three chemotherapy regimens. Methods We conducted a single-center retrospective study of patients with mUC who received first-line chemotherapy from 2005 to 2019. We compared standard gemcitabine–cisplatin (gem-cis) with two alternative regimens: ( 1 ) gem-cis split-dose regimen (split) with cisplatin divided over days 1 and 8 and ( 2 ) combination of gemcitabine–carboplatin or single-agent gemcitabine (gem/gem-carbo). The primary outcome was Kidney Disease Improving Global Outcomes–defined AKI. Secondary outcomes included overall survival and progression-free survival. Results We identified 183 patients (98 gem-cis, 32 split, and 53 gem/gem-carbo). Median baseline eGFR in the gem/cis group was 78 ml/min per 1.73 m 2 (interquartile range, 66–91), in the split group 64 (48–77), and in the gem/gem-carbo 45 (33–57). There was no significant association between regimen type and incidence of AKI when adjusted for age, Eastern Cooperative Oncology Group, baseline eGFR, hypertension, diabetes, and visceral disease. The adjusted hazard ratios were 1.31 (95% confidence interval [CI], 0.61 to 2.78; P = 0.49) and 0.98 (95% CI, 0.46 to 2.07; P = 0.95) for split and gem/gem-carbo groups, respectively, versus gem-cis. Split and gem/gem-carbo regimens were associated with higher mortality and progressive disease relative to gem-cis with an adjusted hazard ratio of 1.54 (95% CI, 1.02 to 2.33; P = 0.04) and 1.96 (95% CI, 1.31 to 2.95; P < 0.01), respectively. Median progression free survival was 8.1 (interquartile range, 4.6–14.8), 6.1 (4.1–9.3), and 4.4 (2.3–8.6) months in the gem-cis, split, and gem/gem-carbo groups. Conclusions There was no significant difference in the incidence of AKI between the three regimens studied. However, standard gem-cis was associated with improved cancer outcomes. Novel regimens and kidney protective strategies are needed for patients with mUC with kidney disease.

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)0.003
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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.053
GPT teacher head0.348
Teacher spread0.295 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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