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Defining Eligibility of FOLFIRINOX for First-Line Metastatic Pancreatic Adenocarcinoma (MPC) in the Province of British Columbia

2015· article· en· W987760055 on OpenAlexaffabout
Maria Yi Ho, Hagen F. Kennecke, Daniel J. Renouf, Winson Y. Cheung, Howard J. Lim, Sharlene Gill

Bibliographic record

VenueAmerican Journal of Clinical Oncology · 2015
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsMedicineFOLFIRINOXAdenocarcinomaMetastatic adenocarcinomaOncologyLine (geometry)Internal medicineOxaliplatinCancer

Abstract

fetched live from OpenAlex

BACKGROUND: FOLFIRINOX is a first-line treatment option for patients with metastatic pancreatic cancer (MPC) and is associated with improved survival yet significantly more toxicities than standard gemcitabine. Our aim was to determine the proportion of patients with MPC who would be eligible for FOLFIRINOX based upon the pivotal ACCORD study criteria. METHODS: Patients with confirmed MPC at the time of referral to the BC Cancer Agency between 2004 and 2007 were identified from the Gastrointestinal Cancers Outcomes Unit Database (GICOU). Proportion of patients that met the ACCORD study eligibility criteria was determined by chart review. Criteria for FOLFIRINOX exclusion were assessed using descriptive statistics. RESULTS: A total of 100 consecutive patients with complete chart records and MPC were identified. Fifty-two (52%) were male and the median age was 68 years (range, 42 to 98 y). The most common sites of metastases were liver (63%) and peritoneum (22%). Only 26 patients fulfilled the ACCORD study eligibility criteria. The most common reasons for FOLIFIRINOX exclusion per ACCORD were poor Eastern Cooperative Oncology Group score of ≥2 (64%), age of 76 years or greater (22%), elevated bilirubin (22%), and inadequate renal function (6%). CONCLUSIONS: Despite the proven survival benefit of FOLFIRINOX, only approximately one quarter of patients in the real-world setting with MPC would have been considered eligible for such therapy based upon the ACCORD eligibility criteria. Careful patient selection and more tolerable therapies are required.

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)0.011
metaresearch head score (Gemma)0.017
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.132
GPT teacher head0.479
Teacher spread0.347 · 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.

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

Citations24
Published2015
Admission routes2
Has abstractyes

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