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Record W4283806096 · doi:10.2217/cer-2021-0239

Impact of perioperative chemotherapy on survival outcomes among patients with metastatic colorectal cancer to the liver

2022· article· en· W4283806096 on OpenAlexaff
Firas Baidoun, Zahi Merjaneh, Rama Nanah, Anas M. Saad, Omar Abdel‐Rahman

Bibliographic record

VenueJournal of Comparative Effectiveness Research · 2022
Typearticle
Languageen
FieldMedicine
TopicHepatocellular Carcinoma Treatment and Prognosis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineColorectal cancerChemotherapyInternal medicineOncologyPerioperativeOxaliplatinProportional hazards modelAdjuvantCancerAdjuvant chemotherapySurgeryBreast cancer

Abstract

fetched live from OpenAlex

Aim: Compare overall survival (OS) between adjuvant and neoadjuvant chemotherapy and analyze the effect of chemotherapy on OS. Materials & methods: National Cancer Database was queried for patients diagnosed with metastatic colorectal adenocarcinoma with isolated liver metastases between 2004 and 2016. We evaluated the OS and chemotherapy effect using Kaplan-Meier estimates and multivariable cox regression analyses. Results: Total 6883 patients with metastatic colorectal cancer and liver metastases were included, of which 6042 patients were treated with surgery and chemotherapy and 841 patients were treated with surgery only. Patients who received neoadjuvant chemotherapy had better OS compared with patients who received adjuvant chemotherapy. Conclusion: Patients with colorectal cancer with isolated liver metastases who were treated with neoadjuvant chemotherapy had better OS compared with adjuvant chemotherapy.

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)0.002
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 score0.022
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.148
GPT teacher head0.427
Teacher spread0.279 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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