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Record W3158147311 · doi:10.21037/jgo-20-422

Impact of surveillance among patients with resected pancreatic cancer following adjuvant chemotherapy

2021· article· en· W3158147311 on OpenAlexaff
Selina K. Wong, Lovedeep Gondara, Daniel J. Renouf, Howard J. Lim, Jonathan M. Loree, Janine M. Davies, Sharlene Gill

Bibliographic record

VenueJournal of Gastrointestinal Oncology · 2021
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsVancouver Coastal Health
FundersAmerican Society of Clinical Oncology
KeywordsMedicineCohortChemotherapyPancreatic cancerAsymptomaticCancerRetrospective cohort studyAdenocarcinomaSurgeryInternal medicineOncologyRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: Pancreatic adenocarcinoma carries a high risk of recurrence even after surgery and adjuvant chemotherapy. Current guidelines do not endorse routine surveillance imaging due to lack of evidence supporting a survival benefit. With current first-line palliative chemotherapy options, it is unclear whether surveillance allows for early detection of asymptomatic disease and therefore an improved opportunity to offer chemotherapy to fit patients. We sought to describe patterns of surveillance of resected pancreatic cancer at British Columbia (BC) Cancer and determine whether utilization of computerized tomography (CT) scans affected likelihood of receiving palliative chemotherapy at the time of recurrence. METHODS: A retrospective review was completed to identify patients treated at BC Cancer centres between 2010-2016 who had undergone curative intent resection and received at least one cycle of adjuvant chemotherapy. Information was collected on baseline characteristics, imaging scans done between adjuvant chemotherapy and recurrence, and receipt of palliative chemotherapy. Two cohorts were defined based on number of scans done between completion of adjuvant chemotherapy and recurrence: those with only 1 scan were defined as "symptomatic" recurrences and patients who had undergone more than 1 scan were considered "surveillance" recurrences. RESULTS: In total, 142 patients were included of which 115 (81%) patients developed recurrence. There were 22 patients (19%) in the "symptomatic" cohort and 93 patients (81%) in the "surveillance" cohort. Median time to recurrence 274 days (9.1 months) in the symptomatic cohort compared to 471 days (15.7 months) in the surveillance group. Patients who underwent surveillance scans were more likely to receive palliative chemotherapy at the time of recurrence, though statistical significance was not reached: 51% in surveillance group versus 27% in symptomatic group [odds ratio (OR) 2.11, 95% confidence interval (CI): 0.75-6.58, P=0.17]. CONCLUSIONS: Despite the absence of surveillance recommendations, the majority of patients underwent surveillance imaging. We demonstrated a non-significant increase in the likelihood of receiving palliative chemotherapy among patients who underwent surveillance scans. With more efficacious palliative chemotherapy options available, studies to determine whether receipt of chemotherapy in asymptomatic recurrences translates into improved survival and/or quality of life are warranted.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.017
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.358
Teacher spread0.338 · 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.

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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

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