Evidence map›Paper›PMID 35027398›Full record

ArticleAnnals of the rheumatic diseases2022

Accounting for missing data caused by drug cessation in observational comparative effectiveness research: a simulation study.

Denis Mongin, Kim Lauper, Axel Finckh, Thomas Frisell, Delphine Sophie Courvoisier

Abstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Denis MonginDepartment of Medicine, University of Geneva, Geneva, Switzerland Denis.Mongin@unige.ch.ORCID 0000-0002-4801-8395
Kim LauperDepartment of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-4315-9009
Axel FinckhDepartment of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-1210-4347
Thomas FrisellDepartment of medicine Solna, Karolinska institute, Stockholm, Sweden.ORCID 0000-0002-5735-9626
Delphine Sophie CourvoisierDepartment of Medicine, University of Geneva, Geneva, Switzerland.ORCID 0000-0002-1956-2607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo assess the performance of statistical methods used to compare the effectiveness between drugs in an observational setting in the presence of attrition.

methodsIn this simulation study, we compared the estimations of low disease activity (LDA) at 1 year produced by complete case analysis (CC), last observation carried forward (LOCF), LUNDEX, non-responder imputation (NRI), inverse probability weighting (IPW) and multiple imputations of the outcome. All methods were adjusted for confounders. The reasons to stop the treatments were included in the multiple imputation method (confounder-adjusted response rate with attrition correction, CARRAC) and were either included (IPW2) or not (IPW1) in the IPW method. A realistic simulation data set was generated from a real-world data collection. The amount of missing data caused by attrition and its dependence on the 'true' value of the data missing were varied to assess the robustness of each method to these changes.

resultsLUNDEX and NRI strongly underestimated the absolute LDA difference between two treatments, and their estimates were highly sensitive to the amount of attrition. IPW1 and CC overestimated the absolute LDA difference between the two treatments and the overestimation increased with increasing attrition or when missingness depended on disease activity at 1 year. IPW2 and CARRAC produced unbiased estimations, but IPW2 had a greater sensitivity to the missing pattern of data and the amount of attrition than CARRAC.

conclusionsOnly multiple imputation and IPW2, which considered both confounding and treatment cessation reasons, produced accurate comparative effectiveness estimates.

Indexed as

Comparative Effectiveness ResearchResearch DesignBiasComputer SimulationHumansProbabilityarthritisepidemiologyhealth careoutcome assessmentrheumatoid

Identifiers

PMID35027398
PMCPMC8995805

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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.