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Effects of early discontinuation of adjuvant chemotherapy (EDAC) and the timing of treatment on outcomes in patients with early-stage pancreatic cancer (ESPC): Result from a population-based retrospective cohort study.

2020· article· en· W3005468001 on OpenAlexaffabout
Javeria Muhammadzai, Mike Moser, Kamal Haider, John M. Shaw, Haji Chalchal, Donald G. Gardiner, Adnan Zaidi, Osama Ahmed, Yigang Luo, Bryan Brunet, Dueck Dorie-Anna, Mussawar Iqbal, Gavin Beck, Shahid Ahmed

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsSaskatchewan Cancer AgencyUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineDiscontinuationSurgeryHazard ratioRetrospective cohort studyChemotherapyCohortProportional hazards modelMultivariate analysisStage (stratigraphy)CancerInternal medicinePopulationRadiation therapyConfidence interval

Abstract

fetched live from OpenAlex

694 Background: Although evidence suggests that a delay in initiation of adjuvant chemotherapy (AC) results in inferior outcomes in some cancers, little is known about its detrimental effects in patients with ESPC. Moreover, it is not known if EDAC has been associated with high risk of recurrence and poor survival. The current study aims to determine association between timing and completion of AC and outcomes in ESPC. Methods: Patients with ESPC who were diagnosed from Jan 2007 to Dec 2017 and underwent complete resection in the province of Saskatchewan were examined. Kaplan Meier methods and log rank tests were performed for survival analyses. Cox proportional multivariate analyses were performed for correlation with recurrence and survival. Results: A total 168 patients with ESPC were identified. 97 (57%) patients were excluded as they did not receive AC, were found to have metastatic disease, did not have curative surgery or had received preoperative chemotherapy. Of 71 eligible patients with median age of 69 years (IQR: 57-73), 52% were male, 31% had WHO performance status of 0 and 92% had a comorbid illness. 78% had pancreatic head tumor, 66% had T3 tumor and 63% had node-positive disease. Median time to start of AC from surgery was 73 days (IQR: 59-89). 32% were started AC within 60 days of surgery. 89% received single-agent chemotherapy and 25% received adjuvant radiation. 69% completed planned treatment. Median time to recurrence in group which completed treatment was 22 months (95%CI:15.8-28.2) vs. 9 months (3.3-14.7) if treatment was discontinued early (P < 0.001). Median overall survival of the group that completed treatment was 33 months (17.5-48.5) vs. 16 months (17.5-48.5) if it was stopped early (P < 0.001). On multivariate analysis, EDAC was significantly correlated with recurrent disease (HR = 3.0; 1.6-5.5), P = 0.0001 and inferior survival (HR = 3.2; 1.68-6.12), P < 0.001. No correlation between AC timing and survival was noted. Conclusions: Although timing of AC does not correlate with inferior outcomes, EDAC has been associated with high risk of recurrence and inferior survival in ESPC.

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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.059
GPT teacher head0.428
Teacher spread0.370 · 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

Citations0
Published2020
Admission routes2
Has abstractyes

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