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Nevus Cells in Lymph Nodes

2002· article· en· W2015426844 on OpenAlexaff
Dan Fontaine, Winston S Parkhill, Wenda Greer, Noreen M. Walsh

Bibliographic record

VenueAmerican Journal of Dermatopathology · 2002
Typearticle
Languageen
FieldMedicine
TopicCutaneous Melanoma Detection and Management
Canadian institutionsDalhousie UniversityQueen Elizabeth II Health Sciences Centre
Fundersnot available
KeywordsLymphNevusMedicineMelanomaPathologyDermatologyCancer research

Abstract

fetched live from OpenAlex

It is known that collections of nevus cells can occur in the collagenous framework of lymph nodes excised for a variety of reasons. These can be difficult to distinguish from nodal deposits of metastatic cancer but attention to cytologic detail, the distribution of the cells, and their immunohistochemical profile usually lead to a satisfactory conclusion. From another perspective, the mechanism by which nevus cells are deposited in lymph nodes has been a source of interest and controversy. Theories in this regard include embolic transfer of cells from cutaneous nevi to corresponding regional nodes and an aberration in the embryologic migration of melanocytes in utero. There have been tentative indications in the literature of a potential link between the presence of nevus cells in lymph nodes and cutaneous nevi in corresponding catchment areas of skin. In the course of evaluating sentinel lymph nodes from patients with melanoma, we noted a significant association between the presence of nodal nevi and cutaneous nevi in corresponding regional zones of skin (Fischer's exact test, p = 0.021). The link with cutaneous nevi of congenital type was even stronger (Fischer's exact test, p = 0.008). This consolidates previous sporadic reports of such an association and through further scrutiny may help shed light on the mechanism by which nodal and congenital cutaneous nevi are linked.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.010
GPT teacher head0.234
Teacher spread0.224 · 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 designCase report
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

Citations73
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of DermatopathologySame topicCutaneous Melanoma Detection and ManagementFrench-language works237,207