Evidence map›Paper›PMID 39046941›Full record

ArticleJournal of managed care & specialty pharmacy2024

Real-world comparison of health care costs of venetoclax-obinutuzumab vs Bruton's tyrosine kinase inhibitor use among US Medicare beneficiaries with chronic lymphocytic leukemia in the frontline setting.

Scott F Huntington, Beenish S Manzoor, Dureshahwar Jawaid, Justin T Puckett, Nnadozie Emechebe, Arliene Ravelo, Sachin Kamal-Bahl, Jalpa A Doshi

Abstract readComparative Study
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Scott F HuntingtonDepartment of Internal Medicine, Section of Hematology, Yale University, New Haven, CT.
Beenish S ManzoorAbbVie Inc., North Chicago, IL.
Dureshahwar JawaidAbbVie Inc., North Chicago, IL.
Justin T PuckettCOVIA Health Solutions, Ambler, PA.
Nnadozie EmechebeAbbVie Inc., North Chicago, IL.
Arliene RaveloGenentech Inc., South San Francisco, CA.
Sachin Kamal-BahlCOVIA Health Solutions, Ambler, PA.
Jalpa A DoshiDivision of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundBruton's tyrosine kinase inhibitors (BTKis) and the BCL-2 inhibitor venetoclax in combination with obinutuzumab (VEN-O) are both recommended as frontline therapy in chronic lymphocytic leukemia (CLL). However, VEN-O is a 12-month fixed-duration therapy generating durable remissions whereas BTKis are continuous treat-to-progression treatments.

objectiveTo examine costs before and after the fixed-duration treatment period for VEN-O relative to that observed for BTKis in a national sample of older US adults with CLL in the frontline setting.

methodsThis retrospective analysis used Medicare Parts A, B, and D claims from 2016 to 2021. Fee-for-service Medicare beneficiaries aged 66 years or older initiating frontline CLL treatment with VEN-O or a BTKi treatment between June 1, 2019, and June 30, 2020 (index date = first prescription fill date), were included in the sample. Mean cost measures were captured for both groups over 2 fixed time periods calculated from the index date: Month 0 to 12 (proxy for VEN-O on-treatment period) and Month 13 to 18 (proxy for VEN-O off-treatment period). A difference-in-difference approach was used. Multivariate generalized linear models estimated changes in adjusted mean monthly costs during Month 0 to 12 vs Month 13 to 18, for the VEN-O group relative to the BTKi group.

resultsThe final sample contained 193 beneficiaries treated with VEN-O and 1,577 beneficiaries treated with BTKis. Risk-adjusted all-cause monthly total costs were similar for VEN-O patients ($13,887) and BTKi patients ($14,492) between Month 0 and 12. Moreover, during Month 13 to 18, the mean monthly all-cause total costs declined by 67% for VEN-O ($13,887 to $4,462) but only by 10% for BTKi ($14,492 to $13,051). Hence, the relative reduction in costs across the 2 periods was significantly larger for VEN-O (-$9,425) vs BTKi (-$1,441) patients (ie, difference in difference = -$7,984;

conclusionsThis real-world study of older adults with CLL found a large reduction in monthly Medicare costs in the 6 months after completion of the fixed-duration treatment period of VEN-O, largely driven by the reduction in CLL-related prescription drug costs. A similar decline in costs was not observed among those treated with BTKis. Our study highlights the substantial economic benefits of fixed-duration VEN-O relative to treat-to-progression therapies like BTKis in the first-line CLL setting.

Indexed as

Agammaglobulinaemia Tyrosine KinaseAntineoplastic Combined Chemotherapy ProtocolsBridged Bicyclo Compounds, HeterocyclicLeukemia, Lymphocytic, Chronic, B-CellMedicareSulfonamidesAdenineAgedAged, 80 and overAntibodies, Monoclonal, HumanizedFemaleHealth Care CostsHumansMalePiperidinesProtein Kinase InhibitorsAdenineAgammaglobulinaemia Tyrosine KinaseAntibodies, Monoclonal, HumanizedBridged Bicyclo Compounds, HeterocyclicBTK protein, humanibrutinibobinutuzumabPiperidinesProtein Kinase InhibitorsSulfonamidesTyrosine Kinase Inhibitorsvenetoclax

Identifiers

PMID39046941
PMCPMC11424914

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.