Evidence map›Paper›PMID 29442336›Full record

ReviewPharmacoEconomics - open2017

Handling Missing Data in Within-Trial Cost-Effectiveness Analysis: A Review with Future Recommendations.

Andrea Gabrio, Alexina J Mason, Gianluca Baio

Erratum issued Registry-linked trialAbstract readReview
In one paragraph

Review in PharmacoEconomics - open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT07394712 (Comprehensive Maintenance Program), which is not on this map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing 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.

NCT07394712 narecruitingnot on this mapstarted 2025, after this paper: background citation

Comprehensive Maintenance Program: a Health Haven for COPD in Lleida.The NAPOLEON Project.

TypeinterventionalSponsorInstitut de Recerca Biomèdica de LleidaRan2025 to 2026Enrolled86ConditionsCOPD - Chronic Obstructive Pulmonary Disease, Pulmonary Rehabilitation, Randomised Controlled TrialArmsInterdisciplinary intervention
3 · Its place in the literature

Who cites it

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

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Andrea GabrioDepartment of Statistical Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. andrea.gabrio.15@ucl.ac.uk.
Alexina J MasonDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK.
Gianluca BaioDepartment of Statistical Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cost-effectiveness analyses (CEAs) alongside randomised controlled trials (RCTs) are increasingly designed to collect resource use and preference-based health status data for the purpose of healthcare technology assessment. However, because of the way these measures are collected, they are prone to missing data, which can ultimately affect the decision of whether an intervention is good value for money. We examine how missing cost and effect outcome data are handled in RCT-based CEAs, complementing a previous review (covering 2003-2009, 88 articles) with a new systematic review (2009-2015, 81 articles) focussing on two different perspectives. First, we provide guidelines on how the information about missingness and related methods should be presented to improve the reporting and handling of missing data. We propose to address this issue by means of a quality evaluation scheme, providing a structured approach that can be used to guide the collection of information, elicitation of the assumptions, choice of methods and considerations of possible limitations of the given missingness problem. Second, we review the description of the missing data, the statistical methods used to deal with them and the quality of the judgement underpinning the choice of these methods. Our review shows that missing data in within-RCT CEAs are still often inadequately handled and the overall level of information provided to support the chosen methods is rarely satisfactory.

Indexed as

Miss Data AnalysisMiss Data MechanismMiss Data MethodMissingness MechanismRobustness Analysis

Identifiers

PMID29442336
PMCPMC5691848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.