Evidence map›Paper›PMID 28535103›Full record

ArticleJournal of managed care & specialty pharmacy2017

Value Frameworks for the Patient-Provider Interaction: A Comparison of the ASCO Value Framework Versus NCCN Evidence Blocks in Determining Value in Oncology.

Bijal Shah-Manek, Joseph S Galanto, Huong Nguyen, Robert Ignoffo

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of managed care & specialty pharmacy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
15.9field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

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  4. Quality of Treatment Selection for Medicare Beneficiaries With Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 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 1 institution in 1 country.

Bijal Shah-Manek1 Touro University California College of Pharmacy, Vallejo, California, and Ipsos Healthcare, San Francisco, California.
Joseph S Galanto2 Touro University California College of Pharmacy, Vallejo, California.
Huong Nguyen2 Touro University California College of Pharmacy, Vallejo, California.
Robert Ignoffo2 Touro University California College of Pharmacy, Vallejo, California.
Touro University California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo address the rising concern about oncology drug costs, the American Society of Clinical Oncology (ASCO) and the National Comprehensive Cancer Network (NCCN) recently developed unique tools to help providers and patients make informed decisions about the value of an anticancer regimen. The ASCO Value Framework (AVF) allows users to generate a net health benefit (NHB) score along with drug acquisition costs for oncology regimens that have been compared in a prospective randomized clinical trial. In contrast, the NCCN Evidence Blocks (NEB) derives ratings from an expert panel assessment in the categories of efficacy, safety, quality and consistency of evidence, and affordability.

objectiveTo compare the results of the AVF and NEB by applying each tool to the same clinical scenarios.

methodsWe evaluated 2 regimens using the AVF and NEB scores: (1) enzalutamide for treatment of metastatic castration-resistant prostate cancer and (2) nivolumab versus docetaxel in treatment of advanced squamous and nonsquamous non-small cell lung cancer (NSCLC).

resultsEnzalutamide generated a total NHB score of 44.8 (range 0-180) for use before chemotherapy and 70.8 for use after chemotherapy with a monthly cost of $8,495 in the AVF. The NEB scored enzalutamide 4 (very effective) for efficacy, 4 (occasionally toxic) for safety, and 2 (expensive) for affordability in the no visceral metastases block. It scored 3 (moderately effective) for efficacy, 4 for safety, and 2 for affordability in the visceral metastases block. Nivolumab in advanced nonsquamous NSCLC scored 36.0 and 73.2 in advanced squamous NSCLC, with a monthly cost of $7,010 in the AVF. The NEB gave nivolumab a score of 4 for efficacy and safety and 1 (very expensive) for affordability in the NEB in advanced nonsquamous and advanced squamous NSCLC.

conclusionsThe AVF and NEB are novel tools that take different approaches in assessing the value of an oncology treatment regimen. From this study, it is clear that the findings generated by these tools are distinct. The AVF provides a summary score for treatments across all clinical benefit and toxicity categories, whereas the NEB provides component scores for treatment efficacy, safety, quality and consistency of evidence, and affordability. Both tools are novel and come with their own challenges. DISCLOSURES: No outside funding supported this study. Shah-Manek is also employed by Ipsos Healthcare, a consulting firm. The authors have no conflicting interests to report. Study concept and design were contributed by Shah-Manek and Ignoffo. Galanto and Nguyen collected the data, and data interpretation was performed by all the authors. All the authors contributed to writing the manuscript, which was revised primarily by Shah-Manek, along with Galanto, Nguyen, and Ignoffo. This research was previously presented as a poster and podium presentation at the Academy of Managed Care Pharmacy Nexus 2016 held October 3-6 in National Harbor, Maryland.

Indexed as

Decision Support TechniquesPatient-Centered CareAntineoplastic AgentsHumansMedical OncologyModels, EconomicNeoplasmsUnited StatesValue-Based PurchasingAntineoplastic Agents

Identifiers

PMID28535103
PMCPMC10408426
OpenAlexW2617825272

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.