Literature DB >> 15380160

The age gap between patients in clinical studies and in the general population: a pitfall for dementia research.

Niels Schoenmaker1, Willem A Van Gool.   

Abstract

The growing global disease burden attributable to dementia has strongly stimulated research activities. However, patients with dementia that are included in clinical research are systematically younger than patients from the general population. This large age gap perhaps indicates a lack of methodological rigour, but, more importantly, has the potential to affect the interpretation of research finding-eg, those relating to neuropathology, apolipoprotein E polymorphisms, the effects of cholinesterase inhibitors, and many other issues relevant to patients with dementia. Research on dementia has a lot to gain from the study of patients that more appropriately reflect the population at risk.

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Year:  2004        PMID: 15380160     DOI: 10.1016/S1474-4422(04)00884-1

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  30 in total

1.  Comparing and Contrasting A Priori and A Posteriori Generalizability Assessment of Clinical Trials on Type 2 Diabetes Mellitus.

Authors:  Zhe He; Arturo Gonzalez-Izquierdo; Spiros Denaxas; Andrei Sura; Yi Guo; William R Hogan; Elizabeth Shenkman; Jiang Bian
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

2.  A distribution-based method for assessing the differences between clinical trial target populations and patient populations in electronic health records.

Authors:  C Weng; Y Li; P Ryan; Y Zhang; F Liu; J Gao; J T Bigger; G Hripcsak
Journal:  Appl Clin Inform       Date:  2014-05-07       Impact factor: 2.342

3.  Visual aggregate analysis of eligibility features of clinical trials.

Authors:  Zhe He; Simona Carini; Ida Sim; Chunhua Weng
Journal:  J Biomed Inform       Date:  2015-01-20       Impact factor: 6.317

4.  Assessing the Comorbidity Gap between Clinical Studies and Prevalence in Elderly Patient Populations.

Authors:  Zhe He; Neil Charness; Jiang Bian; William R Hogan
Journal:  IEEE EMBS Int Conf Biomed Health Inform       Date:  2016-04-21

5.  Simulation-based Evaluation of the Generalizability Index for Study Traits.

Authors:  Zhe He; Praveen Chandar; Patrick Ryan; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

6.  Correlating eligibility criteria generalizability and adverse events using Big Data for patients and clinical trials.

Authors:  Anando Sen; Patrick B Ryan; Andrew Goldstein; Shreya Chakrabarti; Shuang Wang; Eileen Koski; Chunhua Weng
Journal:  Ann N Y Acad Sci       Date:  2016-09-06       Impact factor: 5.691

7.  GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

Authors:  Anando Sen; Shreya Chakrabarti; Andrew Goldstein; Shuang Wang; Patrick B Ryan; Chunhua Weng
Journal:  J Biomed Inform       Date:  2016-09-04       Impact factor: 6.317

8.  Patterns and determinants of dementia pharmacotherapy in a population-based cohort of home care clients.

Authors:  Colleen J Maxwell; Mary Vu; David B Hogan; Scott B Patten; Micaela Jantzi; Marie-Jeanne Kergoat; Nathalie Jetté; Susan E Bronskill; George Heckman; John P Hirdes
Journal:  Drugs Aging       Date:  2013-07       Impact factor: 3.923

9.  Weight Loss Associated with Cholinesterase Inhibitors in Individuals with Dementia in a National Healthcare System.

Authors:  Meera Sheffrin; Yinghui Miao; W John Boscardin; Michael A Steinman
Journal:  J Am Geriatr Soc       Date:  2015-08-03       Impact factor: 5.562

Review 10.  Population studies of sporadic cerebral amyloid angiopathy and dementia: a systematic review.

Authors:  Hannah A D Keage; Roxanna O Carare; Robert P Friedland; Paul G Ince; Seth Love; James A Nicoll; Stephen B Wharton; Roy O Weller; Carol Brayne
Journal:  BMC Neurol       Date:  2009-01-13       Impact factor: 2.474

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