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Record W2596720942 · doi:10.21037/hbsn.2017.01.01

Management of colorectal cancer with synchronous liver metastases: impact of multidisciplinary case conference review

2017· article· en· W2596720942 on OpenAlexaff
Kerollos Nashat Wanis, Karen Pineda‐Solís, Mauro Enrique Tun‐Abraham, Jake Yeoman, Stephen Welch, Kelly Vogt, Julie Ann M. Van Koughnett, Michael Ott, Roberto Hernandez‐Alejandro

Bibliographic record

VenueHepatoBiliary Surgery and Nutrition · 2017
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineColorectal cancerMultidisciplinary approachMultidisciplinary teamChemotherapyOncologyCancerInternal medicineResectionPopulationGeneral surgerySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: While no evidence exists to support mandatory multidisciplinary case conference (MCC) review for patients with synchronous colorectal cancer and liver metastases, this unique population may benefit greatly from multidisciplinary discussion. METHODS: We retrospectively identified patients who underwent liver resection with curative intent for colorectal liver metastases (CRLM) at a tertiary center between January 2008 and June 2015. The characteristics of patients discussed at a weekly regional MCC were examined, and the effect of MCC review on treatment approach was assessed. RESULTS: Sixty-six patients underwent elective surgery for synchronous colorectal cancer and liver metastases during the study period. Twenty-nine patients (44%) were presented at a MCC. Presentation was associated with greater likelihood of undergoing simultaneous or liver-first resection (P≤0.0001), with no difference in the extent of liver resection or location of primary tumor between the groups. A greater proportion of patients received chemotherapy and/or radiation following MCC discussion, without statistical significance. CONCLUSIONS: The treatment approach for patients with synchronous colorectal cancer and liver metastases may be significantly altered based on MCC review. Multidisciplinary discussion is advocated in order to facilitate equal access to individualized care.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.076
Threshold uncertainty score0.492

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.066
GPT teacher head0.310
Teacher spread0.244 · 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

Citations22
Published2017
Admission routes1
Has abstractyes

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