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Record W4293553347 · doi:10.14740/jh1035

Durable Remission in Hodgkin Lymphoma Treated With One Cycle of Bleomycin, Vinblastine, Dacarbazine and Two Doses of Nivolumab and Brentuximab Vedotin

2022· article· en· W4293553347 on OpenAlexvenueno aff
Binoy Yohannan, Adan Rios, L. Maximilian Buja

Bibliographic record

VenueJournal of Hematology · 2022
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineDacarbazineBrentuximab vedotinVinblastineABVDNivolumabBleomycinInternal medicineCyclophosphamideProcarbazineLymphomaOncologyVincristineChemotherapyRadiologyHodgkin lymphomaCancer

Abstract

fetched live from OpenAlex

A 49-year-old woman with systemic lupus erythematosus, lupus nephritis and chronic congestive heart failure presenting with "bulky" cervical lymphadenopathy was diagnosed with classic Hodgkin lymphoma (HL) stage IIIB (positron emission tomography-computed tomography (PET-CT) scan and bone marrow biopsy). She received one cycle of bleomycin, dacarbazine, and vinblastine to debulk the tumor. Given her advanced heart failure, doxorubicin was not administered. After the first cycle of chemotherapy, she was switched to nivolumab plus brentuximab vedotin (BV) and received two doses 4 weeks apart, finishing in July 2019. A restaging PET-CT in June 2019 showed a complete remission (CR). After the second course of treatment, she was unable to tolerate more treatments and hence was placed on a surveillance program. She remains in CR after a follow-up of 3 years. This case highlights the role of a tailored treatment approach to optimize clinical outcomes in uniquely complex clinical circumstances. BV in combination with nivolumab is a reasonable alternative regimen in HL ineligible for cytotoxic chemotherapy.

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 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)0.000
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 score0.175
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.243
Teacher spread0.234 · 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 teacher head, 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

Citations4
Published2022
Admission routes1
Has abstractyes

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