Evidence map›Paper›PMID 26643402›Full record

ArticlePharmacoEconomics2016

Myths and Misconceptions of Within-Cycle Correction: A Guide for Modelers and Decision Makers.

Elamin H Elbasha, Jagpreet Chhatwal

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Article in PharmacoEconomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Distributional Cost-Effectiveness Analysis Using Microsimulation in R: A Tutorial.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
    Article
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  5. Article
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  7. A Fast Nonparametric Sampling Method for Time to Event in Individual-Level Simulation Models.Medical decision making : an international journal of the Society for Medical Decision Making · 2025
    Article
  8. Article
  9. An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  10. A Tutorial on Time-Dependent Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example.Medical decision making : an international journal of the Society for Medical Decision Making · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Cost-Utility Analysis of Direct-Acting Antivirals for Treatment of Chronic Hepatitis C Genotype 1 and 6 in Vietnam.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020
    Article
  15. Article
  16. 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

2 authors.

Elamin H ElbashaMerck & Co. Inc., Kenilworth, NJ, USA. elamin_elbasha@merck.com.
Jagpreet ChhatwalInstitute for Technology Assessment, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Commonly used decision-analytic models for cost-effectiveness analysis simulate time in discrete steps. Use of discrete-time steps can introduce errors when calculating cumulative outcomes such as costs and quality-adjusted life-years. There are a number of myths or misconceptions concerning how to correct these errors and the need to do so. This tutorial shows that, by neglecting to apply within-cycle (sometimes referred to as half-cycle or continuity) correction methods to the results of discrete-time models, the analyst may arrive at the wrong recommendation regarding the use of a technology. We show that the standard half-cycle correction method results in the same cumulative outcome as the trapezoidal rule and life-table method. However, the trapezoidal rule has the added advantage of applying the correction at each cycle, not just the initial and final cycle. We further show that the Simpson's 1/3 rule is more accurate than the trapezoidal rule. We recommend using the Simpson's 1/3 rule in the base-case analysis and, if needed, showing the results with other methods in the sensitivity analysis. We also demonstrate that both the trapezoidal and Simpson's rules can easily be implemented in commonly used software.

Indexed as

Decision MakingModels, EconomicCost-Benefit AnalysisHumansQuality-Adjusted Life Years

Identifiers

What OpenQuestion holds

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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.