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Controlling for selective dropout in longitudinal dementia data: Application to the SveDem registry
Open accessAbstract
Introduction: Loss to follow‐up in dementia studies is common and related to cognition, which worsens over time. We aimed to (1) describe dropout and missing cognitive data in the Swedish dementia registry, SveDem; (2) identify factors associated with dropout; and (3) estimate propensity scores and use them to adjust for dropout. Methods: Longitudinal cognitive data were obtained from 53,880 persons from the SveDem national quality dementia registry. Inverse probability of censoring weights (IPCWs) were estimated using a logistic regression model on dropout. Results: The mean annualized rate of change in Mini‐Mental State Examination (MMSE) in those with a low MMSE (0 to 10) was likely underestimated in the complete case analysis (+1.5 points/year) versus the IPCW analysis (−0.3 points/year). Discussion: Handling dropout by IPCWs resulted in plausible estimates of cognitive decline. This method is likely of value to adjust for biased dropout in longitudinal cohorts of dementia.
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The analysis included inverse probability of censoring weighting to account for dropout or competing risk before the end of follow-up such as death.
“We also included the inverse probability of censoring weighting considering the potential effects of dropout or to the presence of a competing risk before the end of follow-up such as death [40].”
From Antidepressant use and cognitive decline in patients with dementia: a national cohort study (2025) · cites this paper as [40]
The Methods (Statistical analysis; page unavailable) describe using inverse probability of censoring weights to account for dropout. But they define dropout to exclude cases where death occurred within the subsequent year, so the paper does not support the claim that its weighting also accounted for death as a competing risk. (LLM, conf=0.88)
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How Should We Deal with Missing Data in Clinical Trials Involving Alzheimers Disease Patients?
Coley, N., Gardette, V., Cantet, C., Gillette-Guyonnet, S., Nourhashemi, F., Vellas, B., & Andrieu, S. (2011) · Current Alzheimer Research · doi:10.2174/156720511795745339 · Cited by 29
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Petek, B., Häbel, H., Xu, H., Villa-Lopez, M., Kalar, I., Hoang, M. T., Maioli, S., Pereira, J. B., Mostafaei, S., Winblad, B., et al. (2023) · Alzheimer's Research & Therapy · doi:10.1186/s13195-023-01360-0 · Cited by 65
Self-citationAntidepressant use and cognitive decline in patients with dementia: a national cohort study
Mo, M., Abzhandadze, T., Hoang, M. T., Sacuiu, S., Jurado, P. G., Pereira, J. B., Naia, L., Kele, J., Maioli, S., Xu, H., et al. (2025) · BMC Medicine · doi:10.1186/s12916-025-03851-3 · Cited by 45
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Metadata
- Authors
- Handels, R., Jönsson, L., Garcia‐Ptacek, S., Eriksdotter, M., & Wimo, A.
- Affiliations
- Karolinska Institutet (SE)
- Department for Neurobiology Care Sciences and Society Division of Clinical Geriatrics Karolinska Institutet Huddinge Sweden
- Karolinska University Hospital (SE)
- Corresponding author
- Handels, Ron
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2020-03-22
- Volume
- 16
- Issue
- 5
- Pages
- 789-796
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC7984348
- OpenAlex
- W3012855277
- Cited by
- 34
- References
- 1
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 6 · 2023: 7 · 2022: 6 · 2021: 4 · 2020: 1
- FWCI
- 3.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by-nc)
- Research Publications (Maastricht University) (submittedVersion, other-oa)
- Funders
- Vetenskapsrådet (2016‐02317)
- Forskningsrådet om Hälsa, Arbetsliv och Välfärd (2017‐0164)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- loss to follow-up
- MeSH terms
- Mental Status and Dementia Tests, Aged, Aged, 80 and over, Cognition, Cognition Disorders, Dementia, Female, Humans, Longitudinal Studies, Male, Registries, Sweden, Lost to Follow-Up
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