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Record W2887911527 · doi:10.1097/cmr.0000000000000468

Prognostic factors for first-line therapy and overall survival of metastatic uveal melanoma: The Princess Margaret Cancer Centre experience

2018· article· en· W2887911527 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMelanoma Research · 2018
Typearticle
Languageen
FieldMedicine
TopicOcular Oncology and Treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of Toronto
Fundersnot available
KeywordsMedicineNeutrophil to lymphocyte ratioInternal medicineUnivariate analysisAbsolute neutrophil countMetastasisOncologyPerformance statusLactate dehydrogenaseCancerMelanomaGastroenterologyMultivariate analysisChemotherapyLymphocyteNeutropeniaCancer research

Abstract

fetched live from OpenAlex

Metastatic uveal melanoma (MUM) has a poor prognosis, with no established standard of care. Delineation of prognostic factors in MUM patients may enable stratified treatment algorithms of stage-specific survival. Overall, 132 MUM patients who presented to a single tertiary institution in Toronto, Canada, over 12 years were identified and data (demographics, clinical status, radiographic images, and laboratory values) were extracted. Associations with systemic first-line treatment outcome 12 weeks after first-line treatment, time to progression (TTP), and overall survival (OS) were explored by univariate and multivariable analysis. Age, presence of liver metastases, and time from primary presentation to metastatic presentation were significant variables affecting first-line treatment outcomes. Age, Eastern Cooperative Oncology Group (ECOG) score, presence of liver metastases, liver metastasis size, neutrophil lymphocyte ratio, absolute neutrophil count, lactate dehydrogenase (LDH), alkaline phosphatase, time from primary presentation to metastatic presentation, and patients receiving surgery as the first-line treatment were significant variables affecting TTP. Age, ECOG score, presence of liver metastases, liver metastasis size, neutrophil lymphocyte ratio, absolute neutrophil count, LDH, and alkaline phosphatase were significant variables affecting OS. Patients who underwent surgery, chemotherapy, immunotherapy, liver-directed therapy, or targeted therapy had better OS compared with patients not receiving treatment with surgery, associated with a significantly better OS compared with all other therapies. Multivariable analysis showed increased age, absence of liver metastases, and absence of bone metastases to be associated with positive treatment outcomes. ECOG score of at least 1, increased LDH, and decreased time from primary to metastatic presentation would predict decreased TTP. Increased LDH, older age, and ECOG score of at least 1 were associated with decreased OS. These results identified prognostic markers and models thereof of treatment benefit and survival. Further validation in larger cohorts is required.

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.

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)0.001
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 score0.018
Threshold uncertainty score0.337

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.135
GPT teacher head0.417
Teacher spread0.282 · 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