TY  - JOUR
AU  - Rakić, Mia
AU  - Monje, Alberto
AU  - Radovanović, Sandro
AU  - Petković-Ćurčin, Aleksandra
AU  - Vojvodić, Danilo
AU  - Tatić, Zoran
PY  - 2020
UR  - https://pubmed.ncbi.nlm.nih.gov/31773730/
UR  - http://www.ncbi.nlm.nih.gov/pubmed/31773730
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/3828
AB  - BACKGROUND Study objectives were 1) to estimate diagnostic capacity of clinical parameters, receptor activator of nuclear factor kappa-B (RANKL) and osteoprotegerin (OPG) to diagnose healthy peri-implant condition (HI), peri-implant mucositis (PIM) and peri-implantitis (PIMP) by assessing respective diagnostic accuracy, sensitivity, specificity and diagnostic ranges 2) to develop personalized diagnostic model (PDM) for implant monitoring. METHODS Split-mouth study included 126 patients and 252 implants (HI = 126, PIM = 57, and PIMP = 69). RANKL and OPG concentrations were estimated in peri-implant crevicular fluid using enzyme-linked immunosorbent assay method and assessed with clinical parameters using routine statistics, while the diagnostic capacity of individual parameters and overall clinical diagnosis were estimated using classifying algorithms. PDM was developed using decision trees. RESULTS Bleeding on probing (BOP), plaque index, and probing depth (PD) were confirmed reliable discriminants between peri-implant health and disease, while increase in PD (PD > 4 mm) and suppuration were good discriminants amongst PIM/PIMP. Bone turnover markers (BTMs) demonstrated presence of bone resorption in PIM; between comparable diagnostic ranges PIM/PIMP, PIMP was clinically distinguished from PIM in about 60% of patients while 40% remained diagnosed as false negatives. PDM demonstrated highest diagnostic capacity (accuracy: 96.27%, sensitivity: 95.00%, specificity: 100%) and defined HI: BOP ≤0.25%; PIM: BOP >0.25%, PD ≤4.5 mm; PIMP: BOP >0.25%, PD >4.5 mm and RANKL ≤19.9 pg/site; PIM: BOP >0.25%, PD >4.5 mm, and RANKL >19.9 pg/site. CONCLUSIONS BTMs demonstrated capacity to substantially improve clinical diagnosis of peri-implant conditions. Considering lack of difference in BTMs between PIM/PIMP and cluster of PIM with exceeding BTMs, a more refined definition of peri-implant conditions according to biological characteristics is required for further BTMs validation and appropriate PIMP management.
PB  - Wiley-Blackwell
T2  - Journal of Periodontology
T1  - Is the personalized approach the key to improve clinical diagnosis of peri-implant conditions? The role of bone markers.
IS  - 7
VL  - 91
DO  - 10.1002/JPER.19-0283
SP  - 859
EP  - 869
ER  - 

@article{
author = "Rakić, Mia and Monje, Alberto and Radovanović, Sandro and Petković-Ćurčin, Aleksandra and Vojvodić, Danilo and Tatić, Zoran",
year = "2020",
abstract = "BACKGROUND Study objectives were 1) to estimate diagnostic capacity of clinical parameters, receptor activator of nuclear factor kappa-B (RANKL) and osteoprotegerin (OPG) to diagnose healthy peri-implant condition (HI), peri-implant mucositis (PIM) and peri-implantitis (PIMP) by assessing respective diagnostic accuracy, sensitivity, specificity and diagnostic ranges 2) to develop personalized diagnostic model (PDM) for implant monitoring. METHODS Split-mouth study included 126 patients and 252 implants (HI = 126, PIM = 57, and PIMP = 69). RANKL and OPG concentrations were estimated in peri-implant crevicular fluid using enzyme-linked immunosorbent assay method and assessed with clinical parameters using routine statistics, while the diagnostic capacity of individual parameters and overall clinical diagnosis were estimated using classifying algorithms. PDM was developed using decision trees. RESULTS Bleeding on probing (BOP), plaque index, and probing depth (PD) were confirmed reliable discriminants between peri-implant health and disease, while increase in PD (PD > 4 mm) and suppuration were good discriminants amongst PIM/PIMP. Bone turnover markers (BTMs) demonstrated presence of bone resorption in PIM; between comparable diagnostic ranges PIM/PIMP, PIMP was clinically distinguished from PIM in about 60% of patients while 40% remained diagnosed as false negatives. PDM demonstrated highest diagnostic capacity (accuracy: 96.27%, sensitivity: 95.00%, specificity: 100%) and defined HI: BOP ≤0.25%; PIM: BOP >0.25%, PD ≤4.5 mm; PIMP: BOP >0.25%, PD >4.5 mm and RANKL ≤19.9 pg/site; PIM: BOP >0.25%, PD >4.5 mm, and RANKL >19.9 pg/site. CONCLUSIONS BTMs demonstrated capacity to substantially improve clinical diagnosis of peri-implant conditions. Considering lack of difference in BTMs between PIM/PIMP and cluster of PIM with exceeding BTMs, a more refined definition of peri-implant conditions according to biological characteristics is required for further BTMs validation and appropriate PIMP management.",
publisher = "Wiley-Blackwell",
journal = "Journal of Periodontology",
title = "Is the personalized approach the key to improve clinical diagnosis of peri-implant conditions? The role of bone markers.",
number = "7",
volume = "91",
doi = "10.1002/JPER.19-0283",
pages = "859-869"
}

Rakić, M., Monje, A., Radovanović, S., Petković-Ćurčin, A., Vojvodić, D.,& Tatić, Z.. (2020). Is the personalized approach the key to improve clinical diagnosis of peri-implant conditions? The role of bone markers.. in Journal of Periodontology
Wiley-Blackwell., 91(7), 859-869.
https://doi.org/10.1002/JPER.19-0283

Rakić M, Monje A, Radovanović S, Petković-Ćurčin A, Vojvodić D, Tatić Z. Is the personalized approach the key to improve clinical diagnosis of peri-implant conditions? The role of bone markers.. in Journal of Periodontology. 2020;91(7):859-869.
doi:10.1002/JPER.19-0283 .

Rakić, Mia, Monje, Alberto, Radovanović, Sandro, Petković-Ćurčin, Aleksandra, Vojvodić, Danilo, Tatić, Zoran, "Is the personalized approach the key to improve clinical diagnosis of peri-implant conditions? The role of bone markers." in Journal of Periodontology, 91, no. 7 (2020):859-869,
https://doi.org/10.1002/JPER.19-0283 . .

TY  - JOUR
AU  - Rakić, Mia
AU  - Galindo-Moreno, Pablo
AU  - Monje, Alberto
AU  - Radovanović, Sandro
AU  - Wang, Hom-Lay
AU  - Cochran, David
AU  - Sculean, Anton
AU  - Canullo, Luigi
PY  - 2017
UR  - http://link.springer.com/10.1007/s00784-017-2276-y
UR  - http://www.ncbi.nlm.nih.gov/pubmed/29218422
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/2941
AB  - OBJECTIVES The objective of this study is to estimate the overall prevalence of peri-implantitis (PI) and the effect of different study designs, function times, and implant surfaces on prevalence rate reported by the studies adhering to the case definition of Sanz & Chapple 2012. MATERIAL AND METHODS Following electronic and manual searches of the literature published up to February 2016, data were extracted from the studies fitting the study criteria. Meta-analysis was performed for estimation of overall prevalence of PI while the effects of the study design, function time, and implant surface type on prevalence rate were investigated using meta-regression method. RESULTS Twenty-nine articles were included in this study. The prevalence rate in all subset meta-analyses was always higher at patient level when compared to the prevalence rate at the implant level. Prevalence of PI was 18.5% at the patient level and 12.8% at the implant level. Meta-regression analysis did not identify any association for different study designs and function times while it was demonstrated the significant association between moderately rough surfaces with lower prevalence rate of PI (p = 0.011). CONCLUSIONS The prevalence rate of PI remains highly variable even following restriction to the clinical case definition and it seems to be affected by local factors such as implant surface characteristics. The identification of adjuvant diagnostic markers seems necessary for more accurate disease classification. CLINICAL RELEVANCE The occurrence of PI is affected by local factors such as implant surface characteristics hence the careful assessment of the local factors should be performed within treatment planning.
T2  - Clinical Oral Investigations
T2  - Clinical Oral Investigations
T1  - How frequent does peri-implantitis occur? A systematic review and meta-analysis.
DO  - 10.1007/s00784-017-2276-y
ER  - 

@article{
author = "Rakić, Mia and Galindo-Moreno, Pablo and Monje, Alberto and Radovanović, Sandro and Wang, Hom-Lay and Cochran, David and Sculean, Anton and Canullo, Luigi",
year = "2017",
abstract = "OBJECTIVES The objective of this study is to estimate the overall prevalence of peri-implantitis (PI) and the effect of different study designs, function times, and implant surfaces on prevalence rate reported by the studies adhering to the case definition of Sanz & Chapple 2012. MATERIAL AND METHODS Following electronic and manual searches of the literature published up to February 2016, data were extracted from the studies fitting the study criteria. Meta-analysis was performed for estimation of overall prevalence of PI while the effects of the study design, function time, and implant surface type on prevalence rate were investigated using meta-regression method. RESULTS Twenty-nine articles were included in this study. The prevalence rate in all subset meta-analyses was always higher at patient level when compared to the prevalence rate at the implant level. Prevalence of PI was 18.5% at the patient level and 12.8% at the implant level. Meta-regression analysis did not identify any association for different study designs and function times while it was demonstrated the significant association between moderately rough surfaces with lower prevalence rate of PI (p = 0.011). CONCLUSIONS The prevalence rate of PI remains highly variable even following restriction to the clinical case definition and it seems to be affected by local factors such as implant surface characteristics. The identification of adjuvant diagnostic markers seems necessary for more accurate disease classification. CLINICAL RELEVANCE The occurrence of PI is affected by local factors such as implant surface characteristics hence the careful assessment of the local factors should be performed within treatment planning.",
journal = "Clinical Oral Investigations, Clinical Oral Investigations",
title = "How frequent does peri-implantitis occur? A systematic review and meta-analysis.",
doi = "10.1007/s00784-017-2276-y"
}

Rakić, M., Galindo-Moreno, P., Monje, A., Radovanović, S., Wang, H., Cochran, D., Sculean, A.,& Canullo, L.. (2017). How frequent does peri-implantitis occur? A systematic review and meta-analysis.. in Clinical Oral Investigations.
https://doi.org/10.1007/s00784-017-2276-y

Rakić M, Galindo-Moreno P, Monje A, Radovanović S, Wang H, Cochran D, Sculean A, Canullo L. How frequent does peri-implantitis occur? A systematic review and meta-analysis.. in Clinical Oral Investigations. 2017;.
doi:10.1007/s00784-017-2276-y .

Rakić, Mia, Galindo-Moreno, Pablo, Monje, Alberto, Radovanović, Sandro, Wang, Hom-Lay, Cochran, David, Sculean, Anton, Canullo, Luigi, "How frequent does peri-implantitis occur? A systematic review and meta-analysis." in Clinical Oral Investigations (2017),
https://doi.org/10.1007/s00784-017-2276-y . .

TY  - GEN
AU  - Canullo, Luigi
AU  - Radovanović, Sandro
AU  - Delibasic, Boris
AU  - Blaya, Juan Antonio
AU  - Penarrocha, David
AU  - Rakić, Mia
PY  - 2016
UR  - http://www.scopus.com/inward/record.url?eid=2-s2.0-84963502806&partnerID=tZOtx3y1
UR  - https://radar.ibiss.bg.ac.rs/handle/123456789/2526
AB  - AIM: The primary aim of this study was to evaluate 23 pathogens associated with peri-implantitis at inner part of implant connections, in peri-implant and periodontal pockets between patients suffering peri-implantitis and participants with healthy peri-implant tissues; the secondary aim was to estimate the predictive value of microbiological profile in patients wearing dental implants using data mining methods. MATERIAL AND METHODS: Fifty participants included in the present case─control study were scheduled for collection of plaque samples from the peri-implant pockets, internal connection, and periodontal pocket. Real-time polymerase chain reaction was performed to quantify 23 pathogens. Three predictive models were developed using C4.5 decision trees to estimate the predictive value of microbiological profile between three experimental sites. RESULTS: The final sample included 47 patients (22 healthy controls and 25 diseased cases), 90 implants (43 with healthy peri-implant tissues and 47 affected by peri-implantitis). Total and mean pathogen counts at inner portions of the implant connection, in peri-implant and periodontal pockets were generally increased in peri-implantitis patients when compared to healthy controls. The inner portion of the implant connection, the periodontal pocket and peri-implant pocket, respectively, presented a predictive value of microbiologic profile of 82.78%, 94.31%, and 97.5% of accuracy. CONCLUSION: This study showed that microbiological profile at all three experimental sites is differently characterized between patients suffering peri-implantitis and healthy controls. Data mining analysis identified Parvimonas micra as a highly accurate predictor of peri-implantitis when present in peri-implant pocket while this method generally seems to be promising for diagnosis of such complex infections.
PB  - Blackwell Munksgaard
T2  - Clinical oral implants research
T1  - The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making.
DO  - 10.1111/clr.12828
ER  - 

@misc{
author = "Canullo, Luigi and Radovanović, Sandro and Delibasic, Boris and Blaya, Juan Antonio and Penarrocha, David and Rakić, Mia",
year = "2016",
abstract = "AIM: The primary aim of this study was to evaluate 23 pathogens associated with peri-implantitis at inner part of implant connections, in peri-implant and periodontal pockets between patients suffering peri-implantitis and participants with healthy peri-implant tissues; the secondary aim was to estimate the predictive value of microbiological profile in patients wearing dental implants using data mining methods. MATERIAL AND METHODS: Fifty participants included in the present case─control study were scheduled for collection of plaque samples from the peri-implant pockets, internal connection, and periodontal pocket. Real-time polymerase chain reaction was performed to quantify 23 pathogens. Three predictive models were developed using C4.5 decision trees to estimate the predictive value of microbiological profile between three experimental sites. RESULTS: The final sample included 47 patients (22 healthy controls and 25 diseased cases), 90 implants (43 with healthy peri-implant tissues and 47 affected by peri-implantitis). Total and mean pathogen counts at inner portions of the implant connection, in peri-implant and periodontal pockets were generally increased in peri-implantitis patients when compared to healthy controls. The inner portion of the implant connection, the periodontal pocket and peri-implant pocket, respectively, presented a predictive value of microbiologic profile of 82.78%, 94.31%, and 97.5% of accuracy. CONCLUSION: This study showed that microbiological profile at all three experimental sites is differently characterized between patients suffering peri-implantitis and healthy controls. Data mining analysis identified Parvimonas micra as a highly accurate predictor of peri-implantitis when present in peri-implant pocket while this method generally seems to be promising for diagnosis of such complex infections.",
publisher = "Blackwell Munksgaard",
journal = "Clinical oral implants research",
title = "The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making.",
doi = "10.1111/clr.12828"
}

Canullo, L., Radovanović, S., Delibasic, B., Blaya, J. A., Penarrocha, D.,& Rakić, M.. (2016). The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making.. in Clinical oral implants research
Blackwell Munksgaard..
https://doi.org/10.1111/clr.12828

Canullo L, Radovanović S, Delibasic B, Blaya JA, Penarrocha D, Rakić M. The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making.. in Clinical oral implants research. 2016;.
doi:10.1111/clr.12828 .

Canullo, Luigi, Radovanović, Sandro, Delibasic, Boris, Blaya, Juan Antonio, Penarrocha, David, Rakić, Mia, "The predictive value of microbiological findings on teeth, internal and external implant portions in clinical decision making." in Clinical oral implants research (2016),
https://doi.org/10.1111/clr.12828 . .