ArticleFrontiers in microbiology2017
Quantification by qPCR of Pathobionts in Chronic Periodontitis: Development of Predictive Models of Disease Severity at Site-Specific Level.
Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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
16 citing papers in PubMed.
- The role of the oral microbiota in the causal effect of adjunctive antibiotics on clinical outcomes in stage III-IV periodontitis patients.Microbiome · 2024Trial
- Characterization of immune cells in periodontitis using a new histological immunologic gingival (IG) score.Scientific reports · 2026Article
- Developing Predictive Models for Periodontitis Progression Using Artificial Intelligence: A Longitudinal Cohort Study.Journal of clinical periodontology · 2025Article
- The Prevalence of the Periodontal PathogenClinical, cosmetic and investigational dentistry · 2025Article
- Influence of nitrate-containing arugula juice on nitrate-reducing oral bacteria and periodontopathogens in smokers' biofilm.Frontiers in dental medicine · 2025Article
- Revisiting Socransky's Complexes: A Review Suggesting Updated New Bacterial Clusters (GF-MoR Complexes) for Periodontal and Peri-Implant Diseases and Conditions.Microorganisms · 2024Review
- Association between dysbiotic perio-pathogens and inflammatory initiators and mediators in COVID-19 patients with diabetes.Heliyon · 2024Article
- Characteristics of the Salivary Microbiota in Periodontal Diseases and Potential Roles of Individual Bacterial Species To Predict the Severity of Periodontal Disease.Microbiology spectrum · 2023Article
- Article
- The Efficiency of Photodynamic Therapy in the Bacterial Decontamination of Periodontal Pockets and Its Impact on the Patient.Diagnostics (Basel, Switzerland) · 2022Article
- Relationships betweenThe Saudi dental journal · 2022Article
- Development of an miRNA-Array-Based Diagnostic Signature for Periodontitis.Frontiers in genetics · 2020Article
- Biochemical Analysis of Three Biological Fluids and its Response to Non-Surgical Periodontal Therapy in Pre and Postmenopausal Women with Periodontitis.Journal of menopausal medicine · 2019Article
- Microbiome and Culture Based Analysis of Chronic Rhinosinusitis Compared to Healthy Sinus Mucosa.Frontiers in microbiology · 2018Article
- Estimation of neopterin as a biomarker in biofluids of pre and post-menopausal women after initial periodontal therapy: A biochemical assay.Journal of Indian Society of PeriodontologyArticle
- Pathobionts: mechanisms of survival, expansion, and interaction with host with a focus onGut microbesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, there is little evidence available on the development of predictive models for the diagnosis or prognosis of chronic periodontitis based on the qPCR quantification of subgingival pathobionts. Our objectives were to: (1) analyze and internally validate pathobiont-based models that could be used to distinguish different periodontal conditions at site-specific level within the same patient with chronic periodontitis; (2) develop nomograms derived from predictive models. Subgingival plaque samples were obtained from control and periodontal sites (probing pocket depth and clinical attachment loss <4 mm and >4 mm, respectively) from 40 patients with moderate-severe generalized chronic periodontitis. The samples were analyzed by qPCR using TaqMan probes and specific primers to determine the concentrations of
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.