ReviewHeliyon2020
Proteomics approach for biomarkers and diagnosis of periodontitis: systematic review.
Review in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- MS-Based Crevicular Fluid Proteomics for the Study of Periodontal and Peri-Implant Conditions: A Systematic Review.Journal of proteome research · 2026Pooled it
- The Precision Paradigm in Periodontology: A Multilevel Framework for Tailored Diagnosis, Treatment, and Prevention.Journal of personalized medicine · 2025Review
- Diagnostic Accuracy of Novel Protein Biomarkers in Saliva to Detect Periodontitis Using Untargeted 'SWATH' Mass Spectrometry.Journal of clinical periodontology · 2025Article
- Characterisation of the periodontal proteome in gingival crevicular fluid and saliva using SWATH-MS.Frontiers in cellular and infection microbiology · 2025Article
- Microbiological and Salivary Biomarkers Successfully Predict Site-Specific and Whole-Mouth Outcomes of Nonsurgical Periodontal Treatment.Journal of clinical medicine · 2024Article
- A Roadmap for the Rational Use of Biomarkers in Oral Disease Screening.Biomolecules · 2024Review
- Recent advances in nanomaterial-based biosensor for periodontitis detection.Journal of biological engineering · 2024Review
- Integrating enzyme-nanoparticles bring new prospects for the diagnosis and treatment of immune dysregulation in periodontitis.Frontiers in cellular and infection microbiology · 2024Review
- Cystatin SN (CST1) as a Novel Salivary Biomarker of Periodontitis.International journal of molecular sciences · 2023Article
- Discovery, validation, and diagnostic ability of multiple protein-based biomarkers in saliva and gingival crevicular fluid to distinguish between health and periodontal diseases.Journal of clinical periodontology · 2022Article
- Tandem mass tag-based proteomics analysis of type 2 diabetes mellitus with non-alcoholic fatty liver disease in mice treated with acupuncture.Bioscience reports · 2022Article
- Proteomics approaches: A review regarding an importance of proteome analyses in understanding the pathogens and diseases.Frontiers in veterinary science · 2022Review
- A Mini Review: The Potential Biomarkers for Non-invasive Diagnosis of Pulpal Inflammation.Frontiers in dental medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Quantitative proteomic workflow based on mass spectrometry (MS) is recently developed by the researchers to screen for biomarkers in periodontal diseases comprising periodontitis. Periodontitis is known for chronic inflammatory disease characterized by progressive destruction of the tooth-supporting apparatus, yet has a lack of clear pathobiology based on a discrepancy between specified categories and diagnostic vagueness. The objective of this review was to outlined the accessible information related to proteomics studies on periodontitis. The Preferred Reporting Items for Systematical Reviews and Meta-Analysis (PRISMA) statement guides to acquaint proteomic analysis on periodontal diseases was applied. Three databases were used in this study, such as Pubmed, ScienceDirect and Biomed Central from 2009 up to November 2019. Proteomics analysis platforms that used in the studies were outlined. Upregulated and downregulated proteins findings data were found, in which could be suitable as candidate biomarkers for this disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.