Literature DB >> 20587007

Con: Can biomarkers be gold standards in Alzheimer's disease?

Kenneth Rockwood1.   

Abstract

As Alzheimer's disease remains a clinical diagnosis, and as clinical diagnosis can be difficult, it makes sense to look for so-called biomarkers. A biomarker predicts who is likely to have the illness and who is not. Some biomarkers might even correlate with a clinically meaningful response to treatment. Developing biomarkers is often characterized as searching for a diagnostic gold standard that can seem appealing in its promise of certainty. Even so, considering both the economic history of the gold standard and the results of neuropathological studies, framing the search for measurable, biological correlates of dementia syndromes in this way is likely to be self-defeating. Instead of considering biomarkers as providing certainty through referent criterion validation, currently it makes more sense to test their construct validity and their predictive ability. This means that while biomarkers should inform, they will not dictate clinical meaningfulness. For the foreseeable future, even were they to inform diagnosis, biomarkers cannot substitute for understanding whether patients and caregivers find a given dementia treatment effective. Instead, clinicians should recognize their own determining role, both in dementia diagnosis and in the evaluation of treatment. These roles will best be executed by hearing what patients and caregivers tell us about dementia, and its response to treatment.

Entities:  

Year:  2010        PMID: 20587007      PMCID: PMC2919696          DOI: 10.1186/alzrt40

Source DB:  PubMed          Journal:  Alzheimers Res Ther            Impact factor:   6.982


  6 in total

Review 1.  Biomarkers and surrogate endpoints: preferred definitions and conceptual framework.

Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

Review 2.  Biomarkers and surrogate markers: an FDA perspective.

Authors:  Russell Katz
Journal:  NeuroRx       Date:  2004-04

Review 3.  "Precision" and "accuracy": two terms that are neither.

Authors:  David L Streiner; Geoffrey R Norman
Journal:  J Clin Epidemiol       Date:  2006-02-07       Impact factor: 6.437

4.  Brain infarction and the clinical expression of Alzheimer disease. The Nun Study.

Authors:  D A Snowdon; L H Greiner; J A Mortimer; K P Riley; P A Greiner; W R Markesbery
Journal:  JAMA       Date:  1997-03-12       Impact factor: 56.272

5.  Pathological correlates of late-onset dementia in a multicentre, community-based population in England and Wales. Neuropathology Group of the Medical Research Council Cognitive Function and Ageing Study (MRC CFAS).

Authors: 
Journal:  Lancet       Date:  2001-01-20       Impact factor: 79.321

6.  Metachromatic leukodystrophy: clinical and enzymatic parameters.

Authors:  G M McKhann
Journal:  Neuropediatrics       Date:  1984-09       Impact factor: 1.947

  6 in total
  3 in total

1.  An investigation of PreMCI: subtypes and longitudinal outcomes.

Authors:  David A Loewenstein; Maria T Greig; John A Schinka; Warren Barker; Qian Shen; Elizabeth Potter; Ashok Raj; Larry Brooks; Daniel Varon; Michael Schoenberg; Jessica Banko; Huntington Potter; Ranjan Duara
Journal:  Alzheimers Dement       Date:  2012-05       Impact factor: 21.566

2.  Assessing the progression of mild cognitive impairment to Alzheimer's disease: current trends and future directions.

Authors:  Larry G Brooks; David A Loewenstein
Journal:  Alzheimers Res Ther       Date:  2010-09-29       Impact factor: 6.982

3.  Relationship between frailty and Alzheimer's disease biomarkers: A scoping review.

Authors:  Lindsay Wallace; Olga Theou; Kenneth Rockwood; Melissa K Andrew
Journal:  Alzheimers Dement (Amst)       Date:  2018-05-30
  3 in total

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