Evidence map›Paper›PMID 25655601›Full record

SynthesisBlood2015

Value of innovation in hematologic malignancies: a systematic review of published cost-effectiveness analyses.

Cayla J Saret, Aaron N Winn, Gunjan Shah, Susan K Parsons, Pei-Jung Lin, Joshua T Cohen, Peter J Neumann

Abstract readSystematic Review
In one paragraph

Synthesis in Blood, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Systematic Literature Review of Economic Evaluations of Treatment Alternatives in Chronic Lymphocytic Leukemia.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Pooled it
  2. Does the inclusion of societal costs change the economic evaluations recommendations? A systematic review for multiple sclerosis disease.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Pooled it
  3. How relevant are social costs in economic evaluations? The case of Alzheimer's disease.The European journal of health economics : HEPAC : health economics in prevention and care · 2019
    Pooled it
  4. Caregivers' proxy assessments of health-related quality of life in patients with hematologic malignancies.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Review
  6. Review
  7. Review
  8. Balancing patient value and payer cost in hematologic malignancies: can it be done?Expert review of pharmacoeconomics & outcomes research · 2018
    Article
  9. Article
  10. Review
  11. Hodgkin Lymphoma: Current Status and Clinical Trial Recommendations.Journal of the National Cancer Institute · 2017
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Cayla J SaretCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA;
Aaron N WinnDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC; and.
Gunjan ShahCenter for Health Solutions, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA.ORCID http://orcid.org/0000-0002-9977-0456
Susan K ParsonsCenter for Health Solutions, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA.
Pei-Jung LinCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA;
Joshua T CohenCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA;
Peter J NeumannCenter for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA;

Funding

RESEARCH TRAINING IN ONCOLOGYT32CA009429 · NCI · TUFTS MEDICAL CENTER · PI EVENS, ANDREW M · 1985 to 2013
$2.8M
NCI NIH HHS T32 CA009429
6 · The paper itself

Abstract

We analyzed cost-effectiveness studies related to hematologic malignancies from the Tufts Medical Center Cost-Effectiveness Analysis Registry (www.cearegistry.org), focusing on studies of innovative therapies. Studies that met inclusion criteria were categorized by 4 cancer types (chronic myeloid leukemia, chronic lymphocytic leukemia, non-Hodgkin lymphoma, and multiple myeloma) and 9 treatment agents (interferon-α, alemtuzumab, bendamustine, bortezomib, dasatinib, imatinib, lenalidomide, rituximab alone or in combination, and thalidomide). We examined study characteristics and stratified cost-effectiveness ratios by type of cancer, treatment, funder, and year of study publication. Twenty-nine studies published in the years 1996-2012 (including 44 cost-effectiveness ratios) met inclusion criteria, 22 (76%) of which were industry funded. Most ratios fell below $50,000 per quality-adjusted life-years (QALY) (73%) and $100,000/QALY (86%). Industry-funded studies (n = 22) reported a lower median ratio ($26,000/QALY) than others (n = 7; $33,000/QALY), although the difference was not statistically significant. Published data suggest that innovative treatments for hematologic malignancies may provide reasonable value for money.

Indexed as

Quality-Adjusted Life YearsQuality of LifeAntineoplastic AgentsCost-Benefit AnalysisDecision MakingDiffusion of InnovationEconomics, MedicalHematologic NeoplasmsHumansModels, EconomicRegistriesTreatment OutcomeAntineoplastic Agents

Identifiers

PMID25655601
PMCPMC4366623

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.