Evidence map›Paper›PMID 31104743›Full record

ArticleValue in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research2019

"Time Traveling Is Just Too Dangerous" but Some Methods Are Worth Revisiting: The Advantages of Expected Loss Curves Over Cost-Effectiveness Acceptability Curves and Frontier.

Fernando Alarid-Escudero, Eva A Enns, Karen M Kuntz, Tzeyu L Michaud, Hawre Jalal

Abstract read
In one paragraph

Article in Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

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

  1. Treatments for renal cell carcinoma: NICE Pilot Treatment Pathways Appraisal.Health technology assessment (Winchester, England) · 2026
    Pooled it
  2. Pooled it
  3. Methods for Communicating the Impact of Parameter Uncertainty in a Multiple-Strategies Cost-Effectiveness Comparison.Medical decision making : an international journal of the Society for Medical Decision Making · 2022
    Pooled it
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  12. Cost and Cost-Effectiveness of Treating Human Epidermal Growth Factor Receptor 2-Low Metastatic Breast Cancer.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
    Article
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  15. Net Monetary Benefit Lines Augmented with Value-of-Information Measures to Present the Results of Economic Evaluations under Uncertainty.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
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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

5 authors.

Fernando Alarid-EscuderoDrug Policy Program, Center for Research and Teaching in Economics (CIDE)-CONACyT, Aguascalientes, Mexico. Electronic address: fernando.alarid@cide.edu.
Eva A EnnsDivision of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA.
Karen M KuntzDivision of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA.
Tzeyu L MichaudDepartment of Health Promotion and Center for Reducing Health Disparities, College of Public Health, University of Nebraska Medical Center, Omaha, NE, USA.
Hawre JalalDepartment of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

Institutional Career Development CoreKL2TR001856 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RAY, KRISTIN N, RUBIO, DORIS M · 2016 to 2025
$13.8M
Comparative Modeling of Colorectal Cancer: Informing Health Policies and Prioritizing Future ResearchU01CA199335 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI KUNTZ, KAREN M, LANSDORP-VOGELAAR, IRIS · 2015 to 2019
$5.5M
Mathematical modeling and analysis of HIV care trajectories and retention in care challengesK25AI118476 · NIAID · UNIVERSITY OF MINNESOTA · PI ENNS, EVA A · 2015 to 2019
$649k
NCATS NIH HHS KL2 TR001856NCI NIH HHS U01 CA199335NIAID NIH HHS K25 AI118476
6 · The paper itself

Abstract

backgroundCost-effectiveness acceptability curves (CEACs) and the cost-effectiveness acceptability frontier (CEAF) are the recommended graphical representations of uncertainty in a cost-effectiveness analysis (CEA). Nevertheless, many limitations of CEACs and the CEAF have been recognized by others. Expected loss curves (ELCs) overcome these limitations by displaying the expected foregone benefits of choosing one strategy over others, the optimal strategy in expectation, and the value of potential future research all in a single figure.

objectivesTo revisit ELCs, illustrate their benefits using a case study, and promote their adoption by providing open-source code.

methodsWe used a probabilistic sensitivity analysis of a CEA comparing 6 cerebrospinal fluid biomarker test-and-treat strategies in patients with mild cognitive impairment. We showed how to calculate ELCs for a set of decision alternatives. We used the probabilistic sensitivity analysis of the case study to illustrate the limitations of currently recommended methods for communicating uncertainty and then demonstrated how ELCs can address these issues.

resultsELCs combine the probability that each strategy is not cost-effective on the basis of current information and the expected foregone benefits resulting from choosing that strategy (ie, how much is lost if we recommended a strategy with a higher expected loss). ELCs display how the optimal strategy switches across willingness-to-pay thresholds and enables comparison between different strategies in terms of the expected loss.

conclusionsELCs provide a more comprehensive representation of uncertainty and overcome current limitations of CEACs and the CEAF. Communication of uncertainty in CEA would benefit from greater adoption of ELCs as a complementary method to CEACs, the CEAF, and the expected value of perfect information.

Indexed as

Cost-Benefit AnalysisDecision Support TechniquesUncertaintyHumansModels, StatisticalTechnology Assessment, Biomedicalcost-effectiveness analysisexpected lossesprobabilistic sensitivity analysisuncertainty analysisvalue of information analysis

Identifiers

PMID31104743
PMCPMC6530578

What OpenQuestion holds

Textmetadata
LicenceTDM
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.