Atnaujintas knygų su minimaliais defektais pasiūlymas! Naršykite ČIA >>

Predictive Role of Biomarkers in Long Term Stability of Dental Implant: Biomarkers of Per-implant diseases

-15% su kodu: ENG15
53,70 
Įprasta kaina: 63,18 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
53,70 
Įprasta kaina: 63,18 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 63.1800 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

The objective of this systematic review of the literature was to evaluate and summarize the diagnostic and prognostic potential of Peri Implant Crevicular Fluid(PICF). Included studies were systematically analyzed based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta Analyses) guidelines. Electronic database search of Pubmed, Medline, Google Scholar and Scopus was performed using MeSH terms and keywords-PICF and Cytokines, IL-1¿, IL-6, IL-4, IL-10, IL-8, IL-17, and TNF-¿, MIP-1¿. Articles published between years 2000-2019 were reviewed and were included based on inclusion and exclusion criteria. Based on this systematic review of literature, the analysis of these components of PICF can reflect the disease status of individual sites and thus, identify potential biomarkers of peri-implant disease status and its application in prognostic significance and response to therapy thereby could prove to be a valuable tool in early diagnosis and management.

Informacija

Autorius: Garima Asthana, Chikku Barman, Kumar Saurav,
Leidėjas: LAP LAMBERT Academic Publishing
Išleidimo metai: 2022
Knygos puslapių skaičius: 60
ISBN-10: 6205492261
ISBN-13: 9786205492260
Formatas: 220 x 150 x 4 mm. Knyga minkštu viršeliu
Kalba: Anglų

Pirkėjų atsiliepimai

Parašykite atsiliepimą apie „Predictive Role of Biomarkers in Long Term Stability of Dental Implant: Biomarkers of Per-implant diseases“

Būtina įvertinti prekę

Goodreads reviews for „Predictive Role of Biomarkers in Long Term Stability of Dental Implant: Biomarkers of Per-implant diseases“