Literature DB >> 32881307

The competing risk of death and selective survival cannot fully explain the inverse cancer-dementia association.

Eleanor Hayes-Larson1, Sarah F Ackley2, Scott C Zimmerman2, Monica Ospina-Romero2, M Maria Glymour2, Rebecca E Graff2, John S Witte2, Lindsay C Kobayashi3, Elizabeth Rose Mayeda1,2.   

Abstract

INTRODUCTION: We evaluated whether competing risk of death or selective survival could explain the reported inverse association between cancer history and dementia incidence (incidence rate ratio [IRR] ≈ 0.62-0.85).
METHODS: A multistate simulation model of a cancer- and dementia-free cohort of 65-year-olds was parameterized with real-world data (cancer and dementia incidence, mortality), assuming no effect of cancer on dementia (true IRR = 1.00). To introduce competing risk of death, cancer history increased mortality. To introduce selective survival, we included a factor (prevalence ranging from 10% to 50%) that reduced cancer mortality and dementia incidence (IRRs ranged from 0.30 to 0.90). We calculated IRRs for cancer history on dementia incidence in the simulated cohorts.
RESULTS: Competing risk of death yielded unbiased cancer-dementia IRRs. With selective survival, bias was small (IRRs = 0.89 to 0.99), even under extreme scenarios. DISCUSSION: The bias induced by selective survival in simulations was too small to explain the observed inverse cancer-dementia link, suggesting other mechanisms drive this association.
© 2020 the Alzheimer's Association.

Entities:  

Keywords:  Alzheimer's disease; cancer; competing risks; dementia; selection bias; simulation

Year:  2020        PMID: 32881307     DOI: 10.1002/alz.12168

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  6 in total

1.  The Role of Dementia Diagnostic Delay in the Inverse Cancer-Dementia Association.

Authors:  Eleanor Hayes-Larson; Crystal Shaw; Sarah F Ackley; Scott C Zimmerman; M Maria Glymour; Rebecca E Graff; John S Witte; Lindsay C Kobayashi; Elizabeth Rose Mayeda
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2022-06-01       Impact factor: 6.591

2.  Novel predictive tools and therapeutic strategies for patients with initially diagnosed glottic cancer in the United States.

Authors:  Guan-Jiang Huang; Bei-Bei Yang
Journal:  Eur Arch Otorhinolaryngol       Date:  2021-04-05       Impact factor: 2.503

3.  Subtle mistakes in self-report surveys predict future transition to dementia.

Authors:  Stefan Schneider; Doerte U Junghaenel; Elizabeth M Zelinski; Erik Meijer; Arthur A Stone; Kenneth M Langa; Arie Kapteyn
Journal:  Alzheimers Dement (Amst)       Date:  2021-12-08

4.  Investigating the association between cancer and dementia risk: a longitudinal cohort study.

Authors:  Dan-Dan Zhang; Ya-Nan Ou; Liu Yang; Ya-Hui Ma; Lan Tan; Jian-Feng Feng; Wei Cheng; Jin-Tai Yu
Journal:  Alzheimers Res Ther       Date:  2022-10-05       Impact factor: 8.823

5.  Investigating the association between cancer and the risk of dementia: Results from the Memento cohort.

Authors:  Jonviea D Chamberlain; Anaïs Rouanet; Bruno Dubois; Florence Pasquier; Olivier Hanon; Audrey Gabelle; Mathieu Ceccaldi; Pierre Krolak-Salmon; Yannick Béjot; Olivier Godefroy; David Wallon; Armelle Gentric; Geneviève Chêne; Carole Dufouil
Journal:  Alzheimers Dement       Date:  2021-03-03       Impact factor: 21.566

6.  Association between age at onset of multimorbidity and incidence of dementia: 30 year follow-up in Whitehall II prospective cohort study.

Authors:  Céline Ben Hassen; Aurore Fayosse; Benjamin Landré; Martina Raggi; Mikaela Bloomberg; Séverine Sabia; Archana Singh-Manoux
Journal:  BMJ       Date:  2022-02-02
  6 in total

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