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Record W4307842003 · doi:10.1200/jco.22.00478

Cost-Effectiveness Analysis of Frontline Polatuzumab-Rituximab, Cyclophosphamide, Doxorubicin, and Prednisone and/or Second-Line Chimeric Antigen Receptor T-Cell Therapy Versus Standard of Care for Treatment of Patients With Intermediate- to High-Risk Diffuse Large B-Cell Lymphoma

2022· article· en· W4307842003 on OpenAlexaffabout
Abi Vijenthira, John Kuruvilla, Michael Crump, Michael D. Jain, Anca Prica

Bibliographic record

VenueJournal of Clinical Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineRituximabPrednisoneVincristineCyclophosphamideOncologyInternal medicineLymphomaChemotherapy

Abstract

fetched live from OpenAlex

PURPOSE: Recent studies of polatuzumab vedotin and CD19 chimeric antigen receptor T-cell therapy (CAR-T) have shown significant improvements in progression-free survival over standard of care (SOC) for patients with diffuse large B-cell lymphoma. However, they are costly, and it is unclear whether these strategies, alone or combined, are cost-effective over SOC. METHODS: A Markov model was constructed to compare four strategies for patients with newly diagnosed intermediate- to high-risk diffuse large B-cell lymphoma: strategy 1: polatuzumab-rituximab, cyclophosphamide, doxorubicin, and prednisone (R-CHP) plus second-line CAR-T for early relapse (< 12 months); strategy 2: polatuzumab-R-CHP plus second-line salvage therapy ± autologous stem-cell transplant; strategy 3: rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone plus second-line CAR-T for early relapse; strategy 4: SOC (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone plus second-line salvage therapy ± autologous stem-cell transplant). Transition probabilities were estimated from trial data. Lifetime costs, quality-adjusted life-years (QALYs), and incremental cost-effectiveness ratios (ICERs) were calculated from US and Canadian payer perspectives. Willingness-to-pay (WTP) thresholds of $150,000 US dollars (USD) or Canadian dollars (CAD)/QALY were used. RESULTS: In probabilistic analyses (10,000 simulations), each strategy was incrementally more effective than the previous strategy, but also more costly. Adding polatuzumab-R-CHP to the SOC had an ICER of $546,956 (338,797-1,199,923) USD/QALY and $245,381 (151,671-573,250) CAD/QALY. Adding second-line CAR-T to the SOC had an ICER of $309,813 (190,197-694,200) USD/QALY and $303,163 (221,300-1,063,864) CAD/QALY. Simultaneously adding both polatuzumab-R-CHP and second-line CAR-T to the SOC had an ICER of $488,284 (326,765-840,157) USD/QALY and $267,050 (182,832-520,922) CAD/QALY. CONCLUSION: Given uncertain incremental benefits in long-term survival and high costs, neither polatuzumab-R-CHP frontline, CAR-T second-line, nor a combination are likely to be cost-effective in the United States or Canada at current pricing compared with the SOC.

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)0.001
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: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.701

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.407
Teacher spread0.356 · 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 designRandomized trial
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

Citations32
Published2022
Admission routes2
Has abstractyes

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