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Record W2166900896 · doi:10.1186/1746-1596-2-34

Synchronously diagnosed lymph nodal collision tumor of malignant melanoma and chonic lymphocytic leukemia/small lymphocytic lymphoma: case report

2007· article· en· W2166900896 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDiagnostic Pathology · 2007
Typearticle
Languageen
FieldMedicine
TopicChronic Lymphocytic Leukemia Research
Canadian institutionsMcMaster UniversityNOSM University
FundersMcMaster University
KeywordsChronic lymphocytic leukemiaMedicineMelanomaLymphomaPathologyLymph nodeLeukemiaLymphoproliferative disordersLymphNODALCancer researchImmunologyInternal medicine

Abstract

fetched live from OpenAlex

Synchronous composite tumors have been described but are uncommon. Moreover, simultaneous occurrence of synchronous tumors in the same tissue or organ is even less common. We report a case of chronic lymphocytic leukemia (CLL)/small lymphocytic lymphoma and malignant melanoma (MM) occurring synchronously in the same lymph node. Several cases of an association between cutaneous malignancies and lymphoproliferative disorders have been reported. Some of which included CLL and MM, occurring in the same patient often CLL after MM. The risk of having CLL after MM has been reported to be increased. Various genetic and environmental etiologies have been postulated, but have as yet not been proven. To our knowledge this is the first time that synchronous occurrence of these two malignant processes in the same tissue is described. In this case it is important that the melanoma was recognized in the excised lymph node, as this finding had much more critical treatment and long term survival consequences.

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)0.003
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.097
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.015
GPT teacher head0.278
Teacher spread0.263 · 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