Evidence map›Paper›PMID 33969170›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2021

Standardizing salivary lactoferrin measurements to obtain a robust diagnostic biomarker for Alzheimer's disease.

Fernando Bartolome, Gorka Orive, Eva Carro

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

9 citing papers in PubMed, 15 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Fernando BartolomeNetwork Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED) Cordoba Spain.
Gorka OriveLaboratory of Pharmacy and Pharmaceutical Technology Faculty of Pharmacy University of the Basque Country Vitoria Spain.
Eva CarroNetwork Center for Biomedical Research in Neurodegenerative Diseases (CIBERNED) Cordoba Spain.
Biomedical Research Networking Center on Neurodegenerative Diseases · ESBiomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for new, robust, and reproducible biomarkers for Alzheimer's disease (AD) diagnosis is a challenge. We recently reported that salivary lactoferrin (Lf) could be presented as new biomarker candidate for AD, being both non-invasive and cost-effective, as well as having appropriate diagnostic performance for the clinical detection of AD subjects. Saliva is an attractive sample type for biomarker-based testing approaches for several other diseases; however, its composition may change under certain circumstances. It is therefore critical to maintain a consistent salivary handling protocol, considering possible extrinsic factors that may influence salivary Lf concentration. In this work, we analyzed salivary Lf concentration under different handling conditions and donor-dependent factors including age, inter-diurnal variations, physical activity, and pharmacological treatments. Our aim was to evaluate the influence of such conditions on salivary Lf concentration. In conclusion, we found that most of these extrinsic factors should be considered in the future when using Lf as a predictive biomarker for AD.

Indexed as

agingAlzheimer's diseasebiomarkercircadian rhythmexerciselactoferrinmeasurementregulatory factorsreproducibilitysalivatreatments

Identifiers

PMID33969170
PMCPMC8088590
OpenAlexW3158115416

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.