Publicacións nas que colabora con Carlos Balsa Castro (18)

2024

  1. Erratum: Correction for Regueira-Iglesias et al., "Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing" (Microbiology spectrum (2023) (e0439822))

    Microbiology spectrum

  2. PrimerEvalPy: a tool for in-silico evaluation of primers for targeting the microbiome

    BMC Bioinformatics, Vol. 25, Núm. 1

2023

  1. Accuracy of periodontitis diagnosis obtained using multiple molecular biomarkers in oral fluids: A systematic review and meta-analysis

    Journal of Clinical Periodontology, Vol. 50, Núm. 11, pp. 1420-1443

  2. Critical review of 16S rRNA gene sequencing workflow in microbiome studies: From primer selection to advanced data analysis

    Molecular Oral Microbiology, Vol. 38, Núm. 5, pp. 347-399

  3. El microbioma salival: Como herramienta diagnóstica de la periodontitis

    Gaceta dental: Industria y profesiones, Núm. 354, pp. 18-37

  4. Impact of 16S rRNA Gene Redundancy and Primer Pair Selection on the Quantification and Classification of Oral Microbiota in Next-Generation Sequencing

    Microbiology Spectrum, Vol. 11, Núm. 2

  5. In silico evaluation and selection of the best 16S rRNA gene primers for use in next-generation sequencing to detect oral bacteria and archaea

    Microbiome, Vol. 11, Núm. 1

  6. Short-term anti-plaque effect of a cymenol mouthwash analysed using the DenTiUS Deep Plaque software: a randomised clinical trial

    BMC Oral Health, Vol. 23, Núm. 1

2022

  1. In-Silico Detection of Oral Prokaryotic Species With Highly Similar 16S rRNA Sequence Segments Using Different Primer Pairs

    Frontiers in Cellular and Infection Microbiology, Vol. 11

  2. Update on the Role of Cytokines as Oral Biomarkers in the Diagnosis of Periodontitis

    Advances in Experimental Medicine and Biology (Springer), pp. 283-302

2021

  1. Relationship between dental and periodontal health status and the salivary microbiome: bacterial diversity, co-occurrence networks and predictive models

    Scientific Reports, Vol. 11, Núm. 1

2020

  1. Accuracy of single molecular biomarkers in saliva for the diagnosis of periodontitis: A systematic review and meta-analysis

    Journal of Clinical Periodontology, Vol. 47, Núm. 1, pp. 2-18

  2. Diagnostic accuracy of IL1β in saliva: The development of predictive models for estimating the probability of the occurrence of periodontitis in non-smokers and smokers

    Journal of Clinical Periodontology, Vol. 47, Núm. 6, pp. 702-714

2019

  1. Accuracy of single molecular biomarkers in gingival crevicular fluid for the diagnosis of periodontitis: A systematic review and meta-analysis

    Journal of Clinical Periodontology, Vol. 46, Núm. 12, pp. 1166-1182

  2. Interleucina 1beta como biomarcador salival para el diagnóstico de la periodontitis en pacientes no fumadores y fumadores

    Gaceta dental: Industria y profesiones, Núm. 319, pp. 42-60

2018

  1. Capacidad predictiva de las citoquinas en el fluido crevicular gingival: Para el diagnóstico de la periodontitis crónica

    Gaceta dental: Industria y profesiones, Núm. 303, pp. 60-85

  2. Cytokine Thresholds in Gingival Crevicular Fluid with Potential Diagnosis of Chronic Periodontitis Differentiating by Smoking Status

    Scientific Reports, Vol. 8, Núm. 1

2017

  1. Quantification by qPCR of pathobionts in chronic periodontitis: Development of predictive models of disease severity at site-specific level

    Frontiers in Microbiology, Vol. 8, Núm. AUG