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Record W4386286247 · doi:10.3390/medicina59091574

Presentation, Molecular Characteristics, Treatment, and Outcomes of Colorectal Cancer in Patients Older than 80 Years Old

2023· review· en· W4386286247 on OpenAlexaff
Ioannis A. Voutsadakis

Bibliographic record

VenueMedicina · 2023
Typereview
Languageen
FieldMedicine
TopicGenetic factors in colorectal cancer
Canadian institutionsNOSM UniversityEssar Steel Algoma (Canada)Sault Area Hospital
Fundersnot available
KeywordsMedicineColorectal cancerCancerPopulationInternal medicineChemotherapyAdverse effectOncology

Abstract

fetched live from OpenAlex

Background: An increasing proportion of the population of patients with cancer presents at an advanced age, increasing the challenges of successful and well-tolerated treatments. In the older spectrum of the geriatric cancer patients, those older than 80 years old, challenges are even higher because of increasing comorbidities and decreasing organ function reserves. Methods: Studies regarding colorectal cancer presentation, treatment, and prognosis in patients older than 80 years old available in the literature were evaluated and were compiled within a narrative review. Molecular attributes of colorectal cancer in the subset of patients older than 80 years old in published genomic cohorts were also reviewed and were compared with similar attributes in younger patients. Results: Characteristics of colorectal cancer in octogenarians are in many aspects similar to younger patients, but patients older than 80 years old present more often with right colon cancers. Surgical treatment of colorectal cancer in selected patients over 80 years old is feasible and should be pursued. Adjuvant chemotherapy is under-utilized in this population. Although combination chemotherapy is in most cases not advisable, monotherapy with fluoropyrimidine derivatives is feasible and efficacious. Conclusions: Outcomes of colorectal cancer patients over the age of 80 years old may be optimized with a combination of standard treatments adjusted to the individual patient’s functional status and organ reserves. Increased support for the older age group during their colorectal cancer treatment modalities would improve oncologic outcomes with decreasing adverse outcomes of therapies.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.548
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
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 head0.031
GPT teacher head0.359
Teacher spread0.328 · 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.

Study designObservational
Domainnot available
GenreReview

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

Citations6
Published2023
Admission routes1
Has abstractyes

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