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Record W3191190512 · doi:10.1177/22925503211031934

Merkel Cell Carcinoma of the Head and Neck

2021· article· en· W3191190512 on OpenAlexafffundabout
Frances-Claire Eichorn, Arbind Dubey, Kumar Alok Pathak

Bibliographic record

VenuePlastic Surgery · 2021
Typearticle
Languageen
FieldMedicine
TopicPolyomavirus and related diseases
Canadian institutionsCancerCare ManitobaUniversity of Manitoba
FundersDepartment of Surgery, University of Manitoba
KeywordsMedicineMerkel cell carcinomaRadiation therapyStage (stratigraphy)SurgeryPopulationRetrospective cohort studyCancerMerkel cellHead and neck cancerCase fatality rateCarcinomaInternal medicine

Abstract

fetched live from OpenAlex

Merkel cell carcinoma (MCC) of the head and neck is a rare and aggressive non-melanoma skin cancer. The objective of this study was to assess the oncological outcome of MCC by retrospective review of electronic and paper records of a population-based cohort of 17 consecutive cases of the head and neck MCC without distant metastasis, diagnosed in Manitoba between 2004 and 2016. The average age of the patients at initial presentation was 74.1 ± 14.4 years with 6 patients presenting with stage I, 4 with stage II, and 7 with stage III disease. Both surgery or radiotherapy alone were the primary treatment modalities in 4 patients each and the remaining 9 patients had a combination of surgery with adjuvant radiotherapy. During the median follow-up of 52 months, 8 patients had recurrent/residual disease and 7 eventually died of it ( P = .001). Metastatic spread of disease to the regional lymph nodes was observed in 11 patients either at presentation or during the follow-up and to the distant sites in 3 patients. At the time of the last contact on November 30, 2020, 4 patients were alive and disease-free, 7 had died of disease, and 6 had died of other causes. The case fatality rate was 41.2%. Five-year disease-free and disease-specific survivals were 51.8% and 59.7%, respectively. The 5-year disease-specific survival was 75% for early stage MCC (stage I and II) and 35.7% for stage III MCC. Early diagnosis and intervention are crucial for disease control and improving survival.

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)0.001
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 score0.014
Threshold uncertainty score0.163

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.018
GPT teacher head0.227
Teacher spread0.209 · 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

Citations2
Published2021
Admission routes3
Has abstractyes

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