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Record W2068331840 · doi:10.1111/bjh.12244

Modern management of lymphocyte predominant <scp>H</scp>odgkin lymphoma

2013· review· en· W2068331840 on OpenAlexaff
Katharine He Xing, Kerry J. Savage

Bibliographic record

VenueBritish Journal of Haematology · 2013
Typereview
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer Agency
FundersNational Cancer Institute
KeywordsCD15CD30LymphomaCD20MedicineLymphocytePathologicalStage (stratigraphy)Hodgkin lymphomaPathologyImmunologyBiologyCD34

Abstract

fetched live from OpenAlex

Nodular lymphocyte predominant Hodgkin lymphoma (NLPHL) represents 5% of all Hodgkin lymphoma and has distinct clinico-pathological features. It is typified by the presence of lymphocyte predominant cells, which are CD20(+) , CD15(-) and CD30(-) and are found scattered amongst small B-lymphocytes arranged in a nodular pattern. Patients typically are males presenting with localized, peripheral lymphadenopathy. Despite frequent and often late or multiple relapses the prognosis is favourable. Deaths due to NLPHL are uncommon, but secondary malignancies and other treatment toxicities contribute appreciably to overall mortality. Secondary aggressive non-Hodgkin lymphoma can occur in approximately 7-14% of cases of NLPHL. Given this diseases' rarity, the optimal management is unclear and opinions differ as to whether treatment paradigms should be similar to or differ from those for classical Hodgkin lymphoma. This review provides an overview of the existing literature describing of the outcome and treatment approaches for limited and advanced stage NLPHL.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.031
GPT teacher head0.304
Teacher spread0.273 · 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

Citations10
Published2013
Admission routes1
Has abstractyes

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