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Record W2613415121

Only focal bone marrow FDG uptake in baseline FDG Pet scan has a diagnostic and prognostic impact in Hodgkin Lymphoma

2016· article· en· W2613415121 on OpenAlexfundno aff
C. Zwarthoed, Tarec Christoffer El‐Galaly, Maria Elisa Canepari, M.J. Ouvrier, Simonetta Viviani, Luigi Rigacci, Livio Trentin, C. Rusconi, Stefano Luminari, Maria Cantonetti, Silvia Bolis, Anna Borra, Fabrizio Salvi, Edyta Subocz, J. Tajer, Waldemar Kulikowski, Bogdan Małkowski, Jan Maciej Zaucha, Marc Ettaiche, Andrea Gallamini, Jacques Darcourt

Bibliographic record

VenueVBN Forskningsportal (Aalborg Universitet) · 2016
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsnot available
FundersWinship Cancer InstituteUniversity of Texas MD Anderson Cancer CenterUniversitätsklinikum KölnHumanitas UniversityAalborg UniversitetshospitalUniversità di BolognaVšeobecná Fakultní Nemocnice v PrazeUniversità degli Studi di FirenzeBarbara Ann Karmanos Cancer InstituteBC Cancer AgencyBristol-Myers SquibbBrigham and Women's HospitalEmory UniversityUniversity of TorontoAalborg UniversitetUniversity of California, Los AngelesMemorial Sloan-Kettering Cancer CenterUniverzita Karlova v Praze
KeywordsMedicineLymphomaBone marrowBaseline (sea)Nuclear medicineHodgkin lymphomaPositron emission tomographyRadiologyOncologyPathologyBiology
DOInot available

Abstract

fetched live from OpenAlex

show that high expression of PD-1 in the tumor microenvironment of cHL is associated with inferior EFS (fully adjusted multivariate analyses).Patients with high expression of PD-1 have a tumor permissive exhausted immune system and may therefore be more likely to experience treatment failure after conventional treatment regimens.

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)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.231
Teacher spread0.221 · 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 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

Citations0
Published2016
Admission routes1
Has abstractno

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