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Record W3092617708 · doi:10.1200/op.20.00363

Anal Adenocarcinoma: A Rare Malignancy in Need of Multidisciplinary Management

2020· review· en· W3092617708 on OpenAlexaff
Jelena Lukovic, John J. Kim, Monika K. Krzyzanowska, Sami A. Chadi, Cullen M. Taniguchi, Ali Hosni

Bibliographic record

VenueJCO Oncology Practice · 2020
Typereview
Languageen
FieldMedicine
TopicColorectal and Anal Carcinomas
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineMalignancyAdenocarcinomaRadiation therapyAnal canalClinical trialMultidisciplinary approachGeneral surgeryBasal cellDiseaseChemotherapyOncologySurgeryInternal medicineCancerRectum

Abstract

fetched live from OpenAlex

Adenocarcinoma of the anal canal is an uncommon malignancy, making it challenging to perform randomized controlled clinical trials to define best practices in care. For patients with localized disease, there remains a lack of consensus regarding the optimal management, with some physicians advocating for trimodality therapy (similar to the locally advanced rectal adenocarcinoma paradigm) and others advocating for definitive radiation therapy with concurrent chemotherapy (similar to the management of anal squamous cell carcinoma). The objective of this clinical review is to describe the management and outcomes of patients with anal adenocarcinoma to help inform treatment recommendations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.405
Teacher spread0.339 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations26
Published2020
Admission routes1
Has abstractyes

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