Evidence map›Paper›PMID 39599873›Full record

ReviewViruses2024

The Emergence of Saliva as a Diagnostic and Prognostic Tool for Viral Infections.

Nilson Ferreira de Oliveira Neto, Rafael Antônio Velôso Caixeta, Rodrigo Melim Zerbinati, Amanda Caroline Zarpellon, Matheus Willian Caetano, Debora Pallos, Roger Junges, André Luiz Ferreira Costa, Juan Aitken-Saavedra, Simone Giannecchini and 1 more

Abstract readReview
In one paragraph

Review in Viruses, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

11 authors.

Nilson Ferreira de Oliveira NetoDepartment of Stomatology, School of Dentistry, University of São Paulo, São Paulo 05508-000, Brazil.ORCID 0000-0001-8788-4141
Rafael Antônio Velôso CaixetaDepartment of Stomatology, School of Dentistry, University of São Paulo, São Paulo 05508-000, Brazil.ORCID 0000-0002-1351-6941
Rodrigo Melim ZerbinatiLaboratory of Virology (LIM-52-HCFMUSP), Institute of Tropical Medicine, University of São Paulo School of Medicine, São Paulo 05403-000, Brazil.ORCID 0000-0001-9936-9139
Amanda Caroline ZarpellonDepartment of Stomatology, School of Dentistry, University of São Paulo, São Paulo 05508-000, Brazil.
Matheus Willian CaetanoDepartment of Stomatology, School of Dentistry, University of São Paulo, São Paulo 05508-000, Brazil.ORCID 0000-0003-4135-4051
Debora PallosSchool of Dentistry, University of Santo Amaro, São Paulo 04743-030, Brazil.ORCID 0000-0001-7426-1041
Roger JungesInstitute of Oral Biology, Faculty of Dentistry, University of Oslo, 0316 Oslo, Norway.ORCID 0000-0002-5538-1088
André Luiz Ferreira CostaPostgraduate Program in Dentistry, Cruzeiro do Sul University (UNICSUL), São Paulo 1506-000, Brazil.ORCID 0000-0003-4856-5417
Juan Aitken-SaavedraDepartment of Oral Pathology and Medicine, Faculty of Dentistry, University of Chile, Santiago 3311, Chile.ORCID 0000-0002-2525-8433
Simone GiannecchiniDepartment of Experimental and Clinical Medicine, University of Florence, 50134 Florence, Italy.ORCID 0000-0003-3374-7621
Paulo Henrique Braz-SilvaDepartment of Stomatology, School of Dentistry, University of São Paulo, São Paulo 05508-000, Brazil.ORCID 0000-0002-1842-9521

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2020/15533-8Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/07490-0Pró-Reitoria de Pesquisa e Inovação da Universidade de São Paulo 2021.1.10424.1.9Ricerca Virologica Oretta Bartolomei Corsi 2018-20
6 · The paper itself

Abstract

Saliva has emerged as a promising diagnostic fluid for viral infections, enabling the direct analysis of viral genetic material and the detection of infection markers such as proteins, metabolites, microRNAs, and immunoglobulins. This comprehensive review aimed to explore the use of saliva as a diagnostic tool for viral infections, emphasizing its advantages and limitations. Saliva stands out due to its simplicity and safety in collection, along with the convenience of self-collection without the need for healthcare supervision, while potentially being comparable to urine and blood in terms of effectiveness. Herein, we highlighted the significant potential of saliva in assessing viral loads and diagnosing viral infections, such as herpesviruses, HPV, PyV, TTV, SARS-CoV-2, and MPXV. The detection of viral shedding in saliva underscores its utility in early diagnosis, the monitoring of infection progression, and evaluating treatment responses. The non-invasive nature of saliva collection makes it an appealing alternative to more invasive methods, promoting better patient compliance and facilitating large-scale screening and surveillance. As such, we further highlight current evidence on the use of saliva as a prognostic tool. Although a significant amount of data is already available, further investigations are warranted to more comprehensively assess the added benefit from the utilization of salivary biomarkers in the clinics. Salivary biomarkers show great promise for the early detection and prevention of viral infection complications, potentially improving disease management and control at the population level. Integrating these non-invasive tools into routine clinical practice could enhance personalized healthcare strategies and patient outcomes. Future studies should focus on establishing standardization protocols, validating the accuracy of salivary diagnostics, and expanding clinical research to enhance the diagnostic and monitoring capabilities of salivary biomarkers.

Indexed as

BiomarkersSalivaViral LoadVirus DiseasesVirus SheddingCOVID-19HumansPrognosisSARS-CoV-2Biomarkersbiomarkersdiagnosessalivaviral shedding

Identifiers

PMID39599873
PMCPMC11599014

What OpenQuestion holds

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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.