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Determinants of first-line treatment selection in advanced pancreatic ductal adenocarcinoma (PDAC).

2017· article· en· W2602997871 on OpenAlexaff
Hui‐Li Wong, Ying Wang, Yaling Yin, Hagen F. Kennecke, Winson Y. Cheung, Daniel J. Renouf, Sharlene Gill

Bibliographic record

VenueJournal of Clinical Oncology · 2017
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineGemcitabineFOLFIRINOXInternal medicineOncologyPancreatic cancerPancreatic ductal adenocarcinomaCancer registryCancerIrinotecan

Abstract

fetched live from OpenAlex

468 Background: Chemotherapy options currently available for the first-line treatment of advanced PDAC include FOLFIRINOX (FX), gemcitabine with nab-paclitaxel (GP) and single agent gemcitabine (Gem). GP was introduced most recently and funded for clinical use in British Columbia (BC) in September 2014. In this retrospective analysis, we explore the impact of GP availability on first-line treatment selection and overall survival (OS) in advanced PDAC. Methods: The BC Cancer Agency provincial pharmacy database was used to identify patients (pts) who started FX, GP or Gem between January and August 2014 (pre-GP) or January and August 2015 (post-GP). Pts were eligible for inclusion if they received at least one cycle of first-line therapy for locally advanced or metastatic PDAC. Clinical data were extracted from electronic medical records. OS was defined as time from diagnosis of advanced PDAC to death and compared by treatment era, adjusting for age, ECOG, comorbidities, disease extent and baseline CA19-9. Results: 286 pts fulfilled eligibility criteria: 88 (31%) with locally advanced and 198 (69%) with metastatic disease. 131 and 155 pts were treated in the pre- and post-GP eras respectively. Prior to GP approval, 44% and 49% of pts received Gem and FX; this decreased to 21% and 33% after GP funding, with 46% of pts receiving GP in the latter period. Nine (7%) pts received GP in the pre-GP era, either through self-pay or addition of nab-paclitaxel after approval. There were no significant differences in pt characteristics across both eras. 46% of pts who received GP post approval had ECOG ≥ 2. The proportion of pts receiving second-line therapy was lower in the post-GP era (22% vs. 38%). Median OS in the post-GP era was 8.1 vs. 10.1 months in the pre-GP era; adjusted HR 1.28 (95% CI 0.96–1.71). Pts with ECOG ≥ 2 who received GP had a median OS of 6.5 months. Conclusions: After GP was funded, it became the preferred first-line regimen for advanced PDAC. Its more frequent use instead of FX did not appear to compromise overall survival even though a substantial proportion of pts were ECOG ≥ 2 and few pts received second-line therapy.

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)0.004
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.185
GPT teacher head0.528
Teacher spread0.343 · 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
Published2017
Admission routes1
Has abstractyes

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