Literature DB >> 3347338

The NINCDS-ADRDA Work Group criteria for the clinical diagnosis of probable Alzheimer's disease: a clinicopathologic study of 57 cases.

M C Tierney1, R H Fisher, A J Lewis, M L Zorzitto, W G Snow, D W Reid, P Nieuwstraten.   

Abstract

Neuropathologic confirmation is required to validate the NINCDS-ADRDA Work Group criteria for the clinical diagnosis of Alzheimer's disease (AD). Neuropathologic inclusion and exclusion criteria for AD, however, are not uniform. The purpose of this investigation was to examine the confirmation rate for the Work Group criteria against differing neuropathologic criteria for AD. The sample consisted of 57 cases, 22 of which had received a clinical diagnosis of AD. Nine neuropathologic criteria for AD were applied in a blind fashion to each of the 57 cases. Our results indicated that, depending on the neuropathologic criteria applied, the clinicopathologic agreement ranged from 64% to 86%. These findings demonstrate the need for universally accepted neuropathologic and clinical criteria for AD.

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Year:  1988        PMID: 3347338     DOI: 10.1212/wnl.38.3.359

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


  88 in total

1.  Association cortex hypoperfusion in mild dementia with Lewy bodies: a potential indicator of cholinergic dysfunction?

Authors:  Tamara G Fong; Sharon K Inouye; Weiying Dai; Daniel Z Press; David C Alsop
Journal:  Brain Imaging Behav       Date:  2011-03       Impact factor: 3.978

Review 2.  Alzheimer's disease.

Authors:  M Rossor
Journal:  Postgrad Med J       Date:  1992-07       Impact factor: 2.401

3.  Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005-2010.

Authors:  Thomas G Beach; Sarah E Monsell; Leslie E Phillips; Walter Kukull
Journal:  J Neuropathol Exp Neurol       Date:  2012-04       Impact factor: 3.685

4.  Prediction of conversion from mild cognitive impairment to Alzheimer disease based on bayesian data mining with ensemble learning.

Authors:  R Chen; K Young; L L Chao; B Miller; K Yaffe; M W Weiner; E H Herskovits
Journal:  Neuroradiol J       Date:  2012-03-01

5.  Protease nexin-1, an antithrombin with neurite outgrowth activity, is reduced in Alzheimer disease.

Authors:  S L Wagner; J W Geddes; C W Cotman; A L Lau; D Gurwitz; P J Isackson; D D Cunningham
Journal:  Proc Natl Acad Sci U S A       Date:  1989-11       Impact factor: 11.205

6.  How can we recognize "disease modification" effects?

Authors:  E R Siemers
Journal:  J Nutr Health Aging       Date:  2009-04       Impact factor: 4.075

7.  Neurofibrillary tangle predominant form of senile dementia of Alzheimer type: a rare subtype in very old subjects.

Authors:  C Bancher; K A Jellinger
Journal:  Acta Neuropathol       Date:  1994       Impact factor: 17.088

8.  Clustering and switching during a semantic verbal fluency test contribute to differential diagnosis of cognitive impairment.

Authors:  Qianhua Zhao; Qihao Guo; Zhen Hong
Journal:  Neurosci Bull       Date:  2013-01-15       Impact factor: 5.203

9.  Quantitation of amyloid beta-protein (A beta) in the cortex during aging and in Alzheimer's disease.

Authors:  H Funato; M Yoshimura; K Kusui; A Tamaoka; K Ishikawa; N Ohkoshi; K Namekata; R Okeda; Y Ihara
Journal:  Am J Pathol       Date:  1998-06       Impact factor: 4.307

10.  Peripheral Blood MicroRNA Expression Profiles in Alzheimer's Disease: Screening, Validation, Association with Clinical Phenotype and Implications for Molecular Mechanism.

Authors:  Ru-Jing Ren; Yong-Fang Zhang; Eric B Dammer; Yi Zhou; Li-Ling Wang; Xiao-Hong Liu; Bei-Lei Feng; Guo-Xin Jiang; Sheng-Di Chen; Gang Wang; Qi Cheng
Journal:  Mol Neurobiol       Date:  2015-10-26       Impact factor: 5.590

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