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Utility of CSF biomarkers in psychiatric disorders: a national multicentre prospective study

Overview of attention for article published in Alzheimer's Research & Therapy, June 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)

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Title
Utility of CSF biomarkers in psychiatric disorders: a national multicentre prospective study
Published in
Alzheimer's Research & Therapy, June 2016
DOI 10.1186/s13195-016-0192-z
Pubmed ID
Authors

Claire Paquet, Eloi Magnin, David Wallon, Anne-Cécile Troussière, Julien Dumurgier, Alain Jager, Frank Bellivier, Elodie Bouaziz-Amar, Frédéric Blanc, Emilie Beaufils, Carole Miguet-Alfonsi, Muriel Quillard, Susanna Schraen, Florence Pasquier, Didier Hannequin, Philippe Robert, Jacques Hugon, François Mouton-Liger, For ePLM network and collaborators

Abstract

Affective and psychotic disorders are mental or behavioural patterns resulting in an inability to cope with life's ordinary demands and routines. These conditions can be a prodromal event of Alzheimer's disease (AD). The prevalence of underlying AD lesions in psychiatric diseases is unknown, and it would be helpful to determine them in patients. AD cerebrospinal fluid (CSF) biomarkers (amyloid β, tau and phosphorylated tau) have high diagnostic accuracy, both for AD with dementia and to predict incipient AD (mild cognitive impairment due to AD), and they are sometimes used to discriminate psychiatric diseases from AD. Our objective in the present study was to evaluate the clinical utility of CSF biomarkers in a group of patients with psychiatric disease as the main diagnosis. In a multicentre prospective study, clinicians filled out an anonymous questionnaire about all of their patients who had undergone CSF biomarker evaluation. Before and after CSF biomarker results were obtained, clinicians provided a diagnosis with their level of confidence and information about the treatment. We included patients with a psychiatric disorder as the initial diagnosis. In a second part of the study conducted retrospectively in a followed subgroup, clinicians detailed the psychiatric history and we classified patients into three categories: (1) psychiatric symptoms associated with AD, (2) dual diagnosis and (3) cognitive decline not linked to a neurodegenerative disorder. Of 957 patients, 69 had an initial diagnosis of a psychiatric disorder. Among these 69 patients, 14 (20.2 %) had a CSF AD profile, 5 (7.2 %) presented with an intermediate CSF profile and 50 (72.4 %) had a non-AD CSF profile. Ultimately, 13 (18.8 %) patients were diagnosed with AD. We show that in the AD group psychiatric symptoms occurred later and the delay between the first psychiatric symptoms and the cognitive decline was shorter. This study revealed that about 20 % of patients with a primary psychiatric disorder diagnosis before undergoing a CSF exploration for cognitive disorder displayed a CSF biomarker AD profile. In memory clinics, it seems important to consider AD as a possible diagnosis before finalizing a diagnosis of a psychiatric disorder.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 1%
Unknown 69 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 12 17%
Student > Ph. D. Student 12 17%
Student > Doctoral Student 4 6%
Student > Bachelor 4 6%
Other 8 11%
Unknown 17 24%
Readers by discipline Count As %
Psychology 13 19%
Neuroscience 13 19%
Medicine and Dentistry 8 11%
Biochemistry, Genetics and Molecular Biology 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 8 11%
Unknown 22 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 March 2020.
All research outputs
#2,952,134
of 22,880,230 outputs
Outputs from Alzheimer's Research & Therapy
#726
of 1,234 outputs
Outputs of similar age
#55,205
of 352,768 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#8
of 12 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,234 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 352,768 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.