Evidence map›Paper›PMID 34053964›Full record

ArticleJournal of epidemiology2023

Immeasurable Time Bias in Self-controlled Designs: Case-crossover, Case-time-control, and Case-case-time-control Analyses.

Han Eol Jeong, Hyesung Lee, In-Sun Oh, Kristian B Filion, Ju-Young Shin

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Article in Journal of epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Han Eol JeongSchool of Pharmacy, Sungkyunkwan University.ORCID 0000-0001-6678-0941
Hyesung LeeSchool of Pharmacy, Sungkyunkwan University.ORCID 0000-0001-6556-9984
In-Sun OhSchool of Pharmacy, Sungkyunkwan University.ORCID 0000-0001-9878-4779
Kristian B FilionDepartments of Medicine and of Epidemiology, Biostatistics, and Occupational Health, McGill University.ORCID 0000-0001-6055-0088
Ju-Young ShinSchool of Pharmacy, Sungkyunkwan University.ORCID 0000-0003-1010-7525

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImpact of immeasurable time bias (IMTB) is yet to be examined in self-controlled designs.

methodsWe conducted case-crossover, case-time-control, and case-case-time-control analyses using Korea's healthcare database. Two empirical examples among elderly patients were used: 1) benzodiazepines-hip fracture; 2) benzodiazepines-mortality. For cases, the date of hip fracture diagnosis or death was defined as the index date, and the inherited date of their matched cases for controls or future cases. Exposure was assessed in the 1-30 day (hazard) and 61-90 day (control) windows preceding the index date. A non-missing exposure setting included in- and outpatient prescriptions and the pseudo-outpatient setting included only the outpatients. Conditional logistic regression was done to estimate odds ratios (ORs) with 95% confidence intervals (CIs), where the relative difference in OR among the two settings was calculated to quantify the IMTB.

resultsThe IMTB had negligible impacts in the hip fracture example in the case-crossover (non-missing exposure setting OR 1.27; 95% CI, 1.12-1.44; pseudo-outpatient setting OR 1.21; 95% CI, 1.06-1.39; magnitude 0.05), case-time-control (OR 1.18; 95% CI, 0.98-1.44; OR 1.13; 95% CI, 0.92-1.38; 0.04, respectively), and case-case-time-control analyses (OR 0.99; 95% CI, 0.80-1.23; OR 0.94; 95% CI, 0.75-1.18; 0.05, respectively). In the mortality example, IMTB had significant impacts in the case-crossover (non-missing exposure setting OR 1.44; 95% CI, 1.36-1.52; pseudo-outpatient setting OR 0.72; 95% CI, 0.67-0.78; magnitude 1.00), case-time-control (OR 1.38; 95% CI, 1.26-1.51; OR 0.68; 95% CI, 0.61-0.76; 1.03, respectively), and case-case-time-control analyses (OR 1.27; 95% CI, 1.15-1.40; OR 0.62; 95% CI, 0.55-0.69; 1.05, respectively).

conclusionAlthough IMTB had negligible impacts on the drug's effect on acute events, as these are unlikely to be accompanied with hospitalizations, it negatively biased the drug's effect on mortality, an outcome with prodromal phases, in the three self-controlled designs.

Indexed as

Fractures, BoneHospitalizationAgedBenzodiazepinesBiasCase-Control StudiesDatabases, FactualHumansJapanLogistic ModelsBenzodiazepineshealthcare databaseimmeasurable time biaspharmacoepidemiologic studyself-controlled designs

Identifiers

PMID34053964
PMCPMC9794445

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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.