Evidence map›Paper›PMID 30314618›Full record

Observational studyValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2018

A Generic Model for Follicular Lymphoma: Predicting Cost, Life Expectancy, and Quality-Adjusted-Life-Year Using UK Population-Based Observational Data.

Han-I Wang, Eve Roman, Simon Crouch, Eline Aas, Cathy Burton, Russell Patmore, Alexandra Smith

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 16% 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, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. PET-Based Staging Is Cost-Effective in Early-Stage Follicular Lymphoma.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2022
    Article
  7. Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review.International journal of environmental research and public health · 2021
    Review
  8. Article
  9. How to Address Uncertainty in Health Economic Discrete-Event Simulation Models: An Illustration for Chronic Obstructive Pulmonary Disease.Medical decision making : an international journal of the Society for Medical Decision Making · 2020
    Article
  10. Article
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

7 authors at 4 institutions in 2 countries.

Han-I WangEpidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK. Electronic address: han-i.wang@york.ac.uk.
Eve RomanEpidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK.
Simon CrouchEpidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK.
Eline AasDepartment of Health Management and Health Economics, University of Oslo; Oslo, Norway.
Cathy BurtonHaematological Malignancy Diagnostic Service, St. James's University Hospital, Leeds, UK.
Russell PatmoreQueen's Centre for Oncology and Haematology, Castle Hill Hospital, Hull, UK.
Alexandra SmithEpidemiology & Cancer Statistics Group (ECSG), Department of Health Sciences, University of York, York, UK.
University of York · GBCastle Hill Hospital · GBSt James's University Hospital · GBUniversity of Oslo · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo use real-world data to develop a flexible generic decision model to predict cost, life expectancy, and quality-adjusted life-years (QALYs) for follicular lymphoma (FL) in the general patient population.

methodsAll patients newly diagnosed with FL in the UK's population-based Haematological Malignancy Research Network (www.hmrn.org) between 2004 and 2011 were followed until 2015 (N = 740). Treatment pathways, QALYs, and costs were incorporated into a discrete event simulation to reflect patient heterogeneity, including age and disease management. Two scenario analyses, based on the latest National Institute for Health and Clinical Excellence (NICE) guidelines (rituximab induction therapy for newly diagnosed asymptomatic patients and rituximab maintenance therapy for patients between treatments), were conducted and their economic impacts were compared to current practice.

resultsIncidence-based analysis revealed expected average lifetime costs ranging from £6,165 [US$7,709] to £63,864 [US$79,862] per patient, and average life expectancy from 75 days to 17.56 years. Prevalence-based analysis estimated average annual treatment costs of £60-65 million [US$75-80 million], accounting for approximately 10% of the United Kingdom's annual National Health Service budget for hematological cancers as a whole. Assuming that treatment effects reported in trials are applicable to all patient groups, scenario analyses for two recent NICE guidelines demonstrated potential annual cost savings for the United Kingdom that ranged with uptake frequency from £0.6 million to £11 million [US$0.75-2.75 million].

conclusionsCosts, survival, and QALYs associated with FL vary markedly with patient characteristics and disease management. Allowing the production of more realistic outcomes across the patient population as a whole, our model addresses this heterogeneity and is a useful tool with which to evaluate new technologies/treatments to support healthcare decision makers.

Indexed as

Decision Support TechniquesPopulation SurveillanceQuality-Adjusted Life YearsAdultAgedAged, 80 and overCost-Benefit AnalysisFemaleForecastingHumansLife ExpectancyLymphoma, FollicularMaleMiddle AgedStatistics as TopicUnited Kingdomcostcost-effectiveness analysisdiscrete event simulationeconomic evaluationfollicular lymphomapatient level simulation

Identifiers

PMID30314618
PMCPMC6191529
OpenAlexW2801408060

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.