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Record W2789989190 · doi:10.1002/jso.25020

Considering the cost of a simultaneous versus staged approach to resection of colorectal cancer with synchronous liver metastases in a publicly funded healthcare model

2018· article· en· W2789989190 on OpenAlexaff
Emily Souder, Arash Azin, Dhruvin H. Hirpara, Richard Walker, Sean P. Cleary, Fayez A. Quereshy

Bibliographic record

VenueJournal of Surgical Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsUniversity Health NetworkQueen's UniversityUniversity of Toronto
Fundersnot available
KeywordsMedicineColorectal cancerPacuRetrospective cohort studyMultivariate analysisPropensity score matchingCohortSurgeryCancerInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Simultaneous resection for colorectal cancer with synchronous liver metastases is an established alternative to a staged approach. This study aimed to compare these approaches with regards to economic parameters and short-term outcomes. METHODS: A retrospective cohort analysis was conducted between 2005 and 2016. The primary outcome was cost per episode of care. Secondary measures included 30-day clinical outcomes. A multivariate analysis was performed to determine the adjusted effect of a simultaneous surgical approach on total cost of care. RESULTS: Fifty-three cases were identified; 27 in the staged approach, and 26 in the simultaneous group. Age (P = 0.49), sex (P = 0.20), BMI (P = 0.74), and ASA class (P = 0.44) were comparable between groups. Total cost ($20297 vs $27522), OR ($6830 vs $10376), PACU ($675 vs $1182), ward ($7586 vs $11603) and pharmacy costs ($728 vs $1075) were significantly less for the simultaneous group (P < 0.05). The adjusted rate ratio for total cost of care in the staged group compared to simultaneous group was 1.51 (95%CI: 1.16-1.97, P < 0.05). The groups had comparable Clavien-Dindo scores (P = 0.89), 30-day readmissions (P = 0.44), morbidity (P = 0.50) and mortality (P = 1.00). CONCLUSIONS: Our study demonstrates that a simultaneous approach is associated with a significantly lower total cost while maintaining comparable short-term outcomes.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.453
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.000
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 head0.135
GPT teacher head0.345
Teacher spread0.210 · 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 designSimulation or modeling
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

Citations17
Published2018
Admission routes1
Has abstractyes

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