Evidence map›Paper›PMID 34829533›Full record

ArticleAntioxidants (Basel, Switzerland)2021

Assessment of Screening Approach in Early and Differential Alzheimer's Disease Diagnosis.

Laura Ferré-González, Carmen Peña-Bautista, Lourdes Álvarez-Sánchez, Inés Ferrer-Cairols, Miguel Baquero, Consuelo Cháfer-Pericás

Abstract read
In one paragraph

Article in Antioxidants (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Laura Ferré-GonzálezAlzheimer's Disease Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.ORCID 0000-0003-4631-4761
Carmen Peña-BautistaAlzheimer's Disease Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.
Lourdes Álvarez-SánchezAlzheimer's Disease Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.
Inés Ferrer-CairolsAlzheimer's Disease Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.
Miguel BaqueroAlzheimer's Disease Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.
Consuelo Cháfer-PericásAlzheimer's Disease Research Group, Health Research Institute La Fe, 46026 Valencia, Spain.ORCID 0000-0002-0711-5877

Funding

Instituto de Salud Carlos III PI19/00570
6 · The paper itself

Abstract

backgroundAlzheimer's disease (AD) is the leading cause of dementia in the elderly population. Currently, diagnosis is based on invasive and expensive techniques, so there is a growing need to look for other possible tests, as well as carry out clinical validation. Studies from the literature showed potential diagnosis models, including some AD risk factors (age, gender, ApoE-ε4 genotype) and other variables (biomarkers levels, neuroimaging). Specifically, a recent model was performed from lipid peroxidation compounds in plasma samples to identify patients with early AD. However, there is a lack of studies about clinical validation of these preliminary diagnosis models.

methodsPlasma samples from participants classified into AD (

resultsThe validation of the preliminary diagnosis model showed satisfactory diagnosis indexes (accuracy 77%, sensitivity 89%, specificity 61%, diagnostic odds ratio 12.5, positive predictive value 76%). Next, a useful screening tool, including the ApoE genotype, was developed, identifying patients with a higher risk of developing AD and improving the corresponding diagnosis indexes (accuracy 82%, sensitivity 81%, specificity 85%, diagnostic odds ratio 23.2, positive predictive value 90.5%).

conclusionA new screening approach could improve the early, minimally invasive, and differential AD diagnosis in the general population.

Indexed as

Alzheimer’s diseaseapolipoprotein E (ApoE)biomarkerdiagnosis modelplasmascreeningvalidation

Identifiers

PMID34829533
PMCPMC8614769

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