Evidence map›Paper›PMID 29290169›Full record

ArticleJournal of managed care & specialty pharmacy2018

Evaluating Oncology Value-Based Frameworks in the U.S. Marketplace and Challenges in Real-World Application: A Multiple Myeloma Test Case.

Laurence M Djatche, Joseph A Goble, Grace Chun, Stefan Varga

Open access · bronzeAbstract readEvaluation Study
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  3. Advancing the conversation: 30 years of scholarship in managed care pharmacy.Journal of managed care & specialty pharmacy · 2025
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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

4 authors at 2 institutions in 1 country.

Laurence M Djatche1 Thomas Jefferson University, Philadelphia, Pennsylvania.
Joseph A Goble2 University of Texas Austin and Baylor Scott & White Health, Temple, Texas.
Grace Chun3 Rutgers University, New Brunswick, New Jersey.
Stefan Varga1 Thomas Jefferson University, Philadelphia, Pennsylvania.
Baylor Scott & White Health · USRutgers, The State University of New Jersey · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the continuous rise in costs for oncology drugs, the American Society of Clinical Oncology (ASCO), the Institute for Clinical and Economic Review (ICER), the Memorial Sloan Kettering Cancer Center's Drug Abacus (DrugAbacus), and the National Comprehensive Cancer Network (NCCN) have developed value-based frameworks (VBFs) to assist stakeholders in formulary and treatment decision-making processes. Since emerging VBFs have the potential to affect available treatment options for patients, it is important to understand the differences associated with these VBFs within various therapeutic areas.

objectivesTo (a) compare VBFs across 3 therapeutic options for relapsed or refractory multiple myeloma (RRMM) and (b) identify challenges and limitations associated with real-world decision making using VBFs in the U.S. marketplace.

methodsThe values of regimens carfilzomib (CFZ), elotuzumab (ELO), and ixazomib (IX) were generated using the ASCO, NCCN, ICER, and DrugAbacus VBFs. These regimens, used for second- or third-line treatment of RRMM, shared a common comparator in clinical trials: lenalidomide + dexamethasone (LEN + DEX). ASCO's 2016 VBF, which incorporated clinical benefit, toxicity, and bonus points, was used to generate a net health benefit score, along with the drug wholesale acquisition cost, for each regimen compared with LEN + DEX. Results of the 2016 NCCN Evidence Blocks for multiple myeloma and the ICER 2016 report of treatment options for RRMM were extracted to generate the value of CFZ, ELO, and IX. No output was generated from DrugAbacus because of the lack of regimens included in the test case. Shortcomings associated with running the test case in RRMM for each VBF were also identified.

resultsAmong the 3 therapeutic agents, CFZ, in combination with LEN + DEX, was the most valued. ASCO and ICER VBFs suggested that CFZ + LEN + DEX may be the most valued, followed by ELO + LEN + DEX and IX + LEN + DEX. NCCN suggested that LEN + DEX may be the most valued followed by CFZ + LEN + DEX, IX + LEN + DEX, and ELO + LEN + DEX. A number of shortcomings were noted across each VBF, such as complexities of drug evidence evaluation with the ASCO VBF, the inability to adjust the ICER and NCCN VBFs to specific populations, and subjectivity associated with the NCCN VBF and DrugAbacus.

conclusionsAlthough the test case provided some consensus on treatment decisions, there is much nuance and limitations with the VBFs available for RRMM. Clearer objectivity and better adaptability to specific treatment decisions are warranted. DISCLOSURES: No outside funding supported this study. The authors have nothing to disclose. All authors contributed to study concept and design, as well data collection and interpretation. Djatche and Goble wrote and revised the manuscript, along with Chun and Varga. Portions of this work have previously been presented at the AMCP Managed Care and Specialty Pharmacy Annual Meeting 2017 in Denver, Colorado, March 27-30, 2017, and at the ISPOR 22nd Annual International Meeting in Boston, Massachusetts, May 20-24, 2017.

Indexed as

Clinical Decision-MakingAntineoplastic Combined Chemotherapy ProtocolsDrug Resistance, NeoplasmHealth Care CostsHumansMedical OncologyModels, BiologicalModels, EconomicMultiple MyelomaTreatment OutcomeUnited States

Identifiers

PMID29290169
PMCPMC10397794
OpenAlexW2781054944

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.