Literature DB >> 23727080

Diagnosing Alzheimer's disease: a systematic review of economic evaluations.

Ron L H Handels1, Claire A G Wolfs2, Pauline Aalten2, Manuela A Joore3, Frans R J Verhey2, Johan L Severens4.   

Abstract

BACKGROUND: The objective of this study is to systematically review the literature on economic evaluations of interventions for the early diagnosis of Alzheimer's disease (AD) and related disorders and to describe their general and methodological characteristics. We focused on the diagnostic aspects of the decision models to assess the applicability of existing decision models for the evaluation of the recently revised diagnostic research criteria for AD.
METHODS: PubMed and the National Institute for Health Research Economic Evaluation database were searched for English-language publications related to economic evaluations on diagnostic technologies. Trial-based economic evaluations were assessed using the Consensus on Health Economic Criteria list. Modeling studies were assessed using the framework for quality assessment of decision-analytic models.
RESULTS: The search retrieved 2109 items, from which eight decision-analytic modeling studies and one trial-based economic evaluation met all eligibility criteria.
CONCLUSIONS: Diversity among the study objective and characteristics was considerable and, despite considerable methodological quality, several flaws were indicated. Recommendations were focused on diagnostic aspects and the applicability of existing models for the evaluation of recently revised diagnostic research criteria for AD.
Copyright © 2014 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Biomarker; Cost-effectiveness; Costs; Decision-analytic model; Dementia; Diagnostic intervention; Early diagnosis; Economic evaluation; Health technology assessment; Modeling; Neurodegenerative disorder; Quality assessment; Review

Mesh:

Year:  2013        PMID: 23727080     DOI: 10.1016/j.jalz.2013.02.005

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


  15 in total

Review 1.  Cerebrospinal fluid and blood biomarkers for neurodegenerative dementias: An update of the Consensus of the Task Force on Biological Markers in Psychiatry of the World Federation of Societies of Biological Psychiatry.

Authors:  Piotr Lewczuk; Peter Riederer; Sid E O'Bryant; Marcel M Verbeek; Bruno Dubois; Pieter Jelle Visser; Kurt A Jellinger; Sebastiaan Engelborghs; Alfredo Ramirez; Lucilla Parnetti; Clifford R Jack; Charlotte E Teunissen; Harald Hampel; Alberto Lleó; Frank Jessen; Lidia Glodzik; Mony J de Leon; Anne M Fagan; José Luis Molinuevo; Willemijn J Jansen; Bengt Winblad; Leslie M Shaw; Ulf Andreasson; Markus Otto; Brit Mollenhauer; Jens Wiltfang; Martin R Turner; Inga Zerr; Ron Handels; Alexander G Thompson; Gunilla Johansson; Natalia Ermann; John Q Trojanowski; Ilker Karaca; Holger Wagner; Patrick Oeckl; Linda van Waalwijk van Doorn; Maria Bjerke; Dimitrios Kapogiannis; H Bea Kuiperij; Lucia Farotti; Yi Li; Brian A Gordon; Stéphane Epelbaum; Stephanie J B Vos; Catharina J M Klijn; William E Van Nostrand; Carolina Minguillon; Matthias Schmitz; Carla Gallo; Andrea Lopez Mato; Florence Thibaut; Simone Lista; Daniel Alcolea; Henrik Zetterberg; Kaj Blennow; Johannes Kornhuber
Journal:  World J Biol Psychiatry       Date:  2017-10-27       Impact factor: 4.132

2.  Prediction of population with Alzheimer's disease in the European Union using a system dynamics model.

Authors:  Hana Tomaskova; Jitka Kuhnova; Richard Cimler; Ondrej Dolezal; Kamil Kuca
Journal:  Neuropsychiatr Dis Treat       Date:  2016-06-30       Impact factor: 2.570

3.  Which Stratum of Urban Elderly Is Most Vulnerable for Dementia?

Authors:  Yeonsil Moon; Heeyoung Lee; Ok Kyoung Namgung; Seol Heui Han
Journal:  J Korean Med Sci       Date:  2016-10       Impact factor: 2.153

4.  Are We There Yet? Exploring the Impact of Translating Cognitive Tests for Dementia Using Mobile Technology in an Aging Population.

Authors:  Kai Ruggeri; Áine Maguire; Jack L Andrews; Eric Martin; Shantanu Menon
Journal:  Front Aging Neurosci       Date:  2016-03-17       Impact factor: 5.750

5.  Cost-effectiveness of cerebrospinal biomarkers for the diagnosis of Alzheimer's disease.

Authors:  Spencer A W Lee; Luciano A Sposato; Vladimir Hachinski; Lauren E Cipriano
Journal:  Alzheimers Res Ther       Date:  2017-03-16       Impact factor: 6.982

6.  Alzheimer's biomarkers in daily practice (ABIDE) project: Rationale and design.

Authors:  Arno de Wilde; Ingrid S van Maurik; Marleen Kunneman; Femke Bouwman; Marissa Zwan; Eline A J Willemse; Geert Jan Biessels; Mirella Minkman; Ruth Pel; Niki S M Schoonenboom; Ellen M A Smets; Mike P Wattjes; Frederik Barkhof; Andrew Stephens; Erik J van Lier; Richard Batrla-Utermann; Philip Scheltens; Charlotte E Teunissen; Bart N M van Berckel; Wiesje M van der Flier
Journal:  Alzheimers Dement (Amst)       Date:  2017-01-23

Review 7.  Disparities in model-based cost-effectiveness analyses of tuberculosis diagnosis: A systematic review.

Authors:  T I Armina Padmasawitri; Gerardus W Frederix; Bachti Alisjahbana; Olaf Klungel; Anke M Hövels
Journal:  PLoS One       Date:  2018-05-09       Impact factor: 3.240

8.  Systematic literature review of methodologies and data sources of existing economic models across the full spectrum of Alzheimer's disease and dementia from apparently healthy through disease progression to end of life care: a systematic review protocol.

Authors:  Maria Karagiannidou; Raphael Wittenberg; Filipa Isabel Trigo Landeiro; A-La Park; Andra Fry; Martin Knapp; Alastair M Gray; Antje Tockhorn-Heidenreich; Amparo Yovanna Castro Sanchez; Isaac Ghinai; Ron Handels; Pascal Lecomte; Jane Wolstenholme
Journal:  BMJ Open       Date:  2018-06-08       Impact factor: 2.692

9.  Deep language space neural network for classifying mild cognitive impairment and Alzheimer-type dementia.

Authors:  Sylvester Olubolu Orimaye; Jojo Sze-Meng Wong; Chee Piau Wong
Journal:  PLoS One       Date:  2018-11-07       Impact factor: 3.240

Review 10.  Using meta-regression analyses in addition to conventional systematic review methods to examine the variation in cost-effectiveness results - a case study.

Authors:  Laura T Burgers; Fleur T van de Wetering; Johan L Severens; W Ken Redekop
Journal:  BMC Health Serv Res       Date:  2016-01-20       Impact factor: 2.655

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