Jarno Hakkers,Yvonne C M de Waal,Barzi Gareb,Henny J A Meijer,Gerry M Raghoebar
AIMTo analyse the effect of systemic amoxicillin and metronidazole on surgical peri-implantitis treatment with a follow-up period of 1 year.MATERIALS AND METHODSFifty-nine patients were randomly assigned to receive peri-implantitis surgery supplemented with (29 patients; test) or without (30 patients; control) systemic amoxicillin and metronidazole, in cases with no, one-wall or two-wall bony defects. Primary outcomes were mean peri-implant probing pocket depth (PPD) and mean peri-implant bleeding on probing (BOP); secondary outcomes included disease resolution (composite treatment outcome: residual probing depths ≤ 5 mm; no BOP in one or more probing site; no suppuration on probing), suppuration on probing (SOP) and radiographic marginal bone levels (MBLs), evaluated 3, 6, 9 and 12 months postoperatively (T3, T6, T9, T12). Linear and logistic mixed-effects models were employed.RESULTSBetween-group analyses showed that BOP was significantly lower in the test group compared to the control group at T9 (β = -10.57%, 95% CI: -20.17 to -0.97, p = 0.03) and T12 (β = -14.47%, 95% CI: -25.9 to -3.04, p = 0.01). No other parameters in the mixed-effects models showed statistically significant differences between groups at any timepoint.CONCLUSIONAccess-flap peri-implantitis surgery supplemented with systemic amoxicillin and metronidazole led to a statistically significant reduction in peri-implant BOP after 1 year, whereas no other parameters showed statistically significant differences between groups at any timepoint. The clinical implications of these differences should be interpreted with caution, as the isolated short-term effect does not translate into broader or sustained clinical benefit and must be weighed against the risks associated with systemic antibiotic use.
{"title":"Adjunctive Systemic Amoxicillin and Metronidazole Following Surgical Peri-Implantitis Treatment: A Single-Blind Randomised Controlled Trial With a 1-Year Follow-Up.","authors":"Jarno Hakkers,Yvonne C M de Waal,Barzi Gareb,Henny J A Meijer,Gerry M Raghoebar","doi":"10.1111/jcpe.70100","DOIUrl":"https://doi.org/10.1111/jcpe.70100","url":null,"abstract":"AIMTo analyse the effect of systemic amoxicillin and metronidazole on surgical peri-implantitis treatment with a follow-up period of 1 year.MATERIALS AND METHODSFifty-nine patients were randomly assigned to receive peri-implantitis surgery supplemented with (29 patients; test) or without (30 patients; control) systemic amoxicillin and metronidazole, in cases with no, one-wall or two-wall bony defects. Primary outcomes were mean peri-implant probing pocket depth (PPD) and mean peri-implant bleeding on probing (BOP); secondary outcomes included disease resolution (composite treatment outcome: residual probing depths ≤ 5 mm; no BOP in one or more probing site; no suppuration on probing), suppuration on probing (SOP) and radiographic marginal bone levels (MBLs), evaluated 3, 6, 9 and 12 months postoperatively (T3, T6, T9, T12). Linear and logistic mixed-effects models were employed.RESULTSBetween-group analyses showed that BOP was significantly lower in the test group compared to the control group at T9 (β = -10.57%, 95% CI: -20.17 to -0.97, p = 0.03) and T12 (β = -14.47%, 95% CI: -25.9 to -3.04, p = 0.01). No other parameters in the mixed-effects models showed statistically significant differences between groups at any timepoint.CONCLUSIONAccess-flap peri-implantitis surgery supplemented with systemic amoxicillin and metronidazole led to a statistically significant reduction in peri-implant BOP after 1 year, whereas no other parameters showed statistically significant differences between groups at any timepoint. The clinical implications of these differences should be interpreted with caution, as the isolated short-term effect does not translate into broader or sustained clinical benefit and must be weighed against the risks associated with systemic antibiotic use.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"3 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2026-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145961602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comment on Huoshen et al. (2025) ‘Pharmacovigilance-Based Identification and Mechanistic Exploration of Periodontitis-Related Drugs’","authors":"Jianxing Zhou, Weipeng Lai, Jiaping Zheng","doi":"10.1111/jcpe.70074","DOIUrl":"10.1111/jcpe.70074","url":null,"abstract":"","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"53 3","pages":"492-493"},"PeriodicalIF":6.8,"publicationDate":"2026-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145937884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shrouk N. Elboray, Ola M. Ezzatt, Ahmad Salah, Asmaa Mohamed, Mahetab M. Abdalwahab
Aim To evaluate the diagnostic accuracy of thermographic imaging for differentiating healthy gingiva, site‐level inflammation and sites with clinical attachment loss. Subjects and Methods A calibrated periodontist examined 511 teeth in systemically healthy individuals attending the periodontology clinic. Clinical assessments were performed at buccal/facial sites within the anterior and premolar regions, with parameters including bleeding on probing (BOP), plaque index (PI), gingival index (GI), probing depth (PD) and clinical attachment level (CAL). Each tooth was classified into one of three subgroups based on CAL and BOP: clinically healthy sites (Group1/CH); inflamed sites without attachment loss (Group2/INF); and sites with clinical attachment loss (Group3/AL). Thermal imaging of the same sites was performed by a blinded operator. Diagnostic performance was assessed using receiver operating characteristic (ROC) curves as well as sensitivity and specificity analyses. Results The mean temperature values were 37.8°C ± 1.6°C for Group2/INF, 38.7°C ± 1.2°C for Group3/AL and 34.8°C ± 2.4°C for Group1/CH ( p < 0.001). ROC analysis resulted in an area under the curve (AUC) of 0.94 for Group2/INF and 0.86 for Group3/AL, high sensitivity (93% and 90.7%) and moderate to high specificity (83.8% and 64.5%), respectively, with significant correlations between thermal values, PI and CAL ( p < 0.001). Conclusions Thermographic imaging could effectively differentiate between clinically healthy sites and those showing site‐specific inflammation or attachment loss. These findings reflect periodontal status at the site level and are not intended for full‐mouth diagnosis of gingivitis or periodontitis. Trial Registration: The trial was registered at https://clinicaltrials.gov/ under the number (NCT06290414) on 14/8/2024
{"title":"Evaluation of the Accuracy of Infrared Thermographic Imaging for the Diagnosis of Periodontal Diseases: A Cross‐Sectional Study","authors":"Shrouk N. Elboray, Ola M. Ezzatt, Ahmad Salah, Asmaa Mohamed, Mahetab M. Abdalwahab","doi":"10.1111/jcpe.70066","DOIUrl":"https://doi.org/10.1111/jcpe.70066","url":null,"abstract":"Aim To evaluate the diagnostic accuracy of thermographic imaging for differentiating healthy gingiva, site‐level inflammation and sites with clinical attachment loss. Subjects and Methods A calibrated periodontist examined 511 teeth in systemically healthy individuals attending the periodontology clinic. Clinical assessments were performed at buccal/facial sites within the anterior and premolar regions, with parameters including bleeding on probing (BOP), plaque index (PI), gingival index (GI), probing depth (PD) and clinical attachment level (CAL). Each tooth was classified into one of three subgroups based on CAL and BOP: clinically healthy sites (Group1/CH); inflamed sites without attachment loss (Group2/INF); and sites with clinical attachment loss (Group3/AL). Thermal imaging of the same sites was performed by a blinded operator. Diagnostic performance was assessed using receiver operating characteristic (ROC) curves as well as sensitivity and specificity analyses. Results The mean temperature values were 37.8°C ± 1.6°C for Group2/INF, 38.7°C ± 1.2°C for Group3/AL and 34.8°C ± 2.4°C for Group1/CH ( <jats:italic>p</jats:italic> < 0.001). ROC analysis resulted in an area under the curve (AUC) of 0.94 for Group2/INF and 0.86 for Group3/AL, high sensitivity (93% and 90.7%) and moderate to high specificity (83.8% and 64.5%), respectively, with significant correlations between thermal values, PI and CAL ( <jats:italic>p</jats:italic> < 0.001). Conclusions Thermographic imaging could effectively differentiate between clinically healthy sites and those showing site‐specific inflammation or attachment loss. These findings reflect periodontal status at the site level and are not intended for full‐mouth diagnosis of gingivitis or periodontitis. Trial Registration: The trial was registered at <jats:ext-link xmlns:xlink=\"http://www.w3.org/1999/xlink\" xlink:href=\"https://clinicaltrials.gov/\">https://clinicaltrials.gov/</jats:ext-link> under the number (NCT06290414) on 14/8/2024","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"1 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145847294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Charlene E. Goh, Bruno Bohn, Jeanine M. Genkinger, Rebecca Molinsky, Sumith Roy, Bruce J. Paster, Ching‐Yuan Chen, Stephen Johnson, Melana Yuzefpolskaya, Paolo C. Colombo, Michael Rosenbaum, Rob Knight, Moïse Desvarieux, Panos N. Papapanou, David R. Jacobs, Ryan T. Demmer
Aims To investigate whether the association between the nitrite‐generating capacity of the subgingival microbiome and early cardiometabolic risk biomarkers varies by dietary nitrate intake. Materials and Methods Cross‐sectional data from 668 participants (mean age 31 ± 9 years, 73% women) were analysed. Dietary nitrate intake was calculated from food frequency questionnaires. Subgingival 16S rRNA sequencing (Illumina, MiSeq) and PICRUSt2 estimated microbial genes. The Microbiome‐Induced Nitric Oxide Enrichment Score (MINES) was calculated as a ratio of microbial gene abundances representing enhanced net capacity for NO generation. Adjusted multivariable linear models regressed cardiometabolic risk biomarkers (HbA1c, glucose, insulin, insulin resistance (HOMA‐IR), blood pressure) on nitrate intake and MINES together with a MINES × nitrate intake interaction term. Results Mean nitrate intake was 190 ± 171 mg/day. Significant interactions of MINES and nitrate intake were observed for insulin and HOMA‐IR ( p < 0.05). Among participants with a low MINES, higher nitrate intake was associated with lower HOMA‐IR (1.2 [1.1–1.4] vs. 1.5 [1.3–1.6]; p = 0.002), but levels were similar in those with high MINES ( p = 0.84). Conclusions A biomarker of higher microbial NO‐generating capacity in subgingival plaque is associated with lower insulin and insulin resistance among individuals with lower dietary nitrate intake. Future trials evaluating the cardiometabolic benefits of nitrate‐rich diets should incorporate measures of the entire oral microbiome.
{"title":"Dietary Nitrate Intake and 16S rRNA ‐Inferred Nitrite‐Generating Capacity of the Subgingival Microbiome May Influence Glucose Metabolism: Results From the Oral Infections Glucose Intolerance and Insulin Resistance Study ( ORIGINS )","authors":"Charlene E. Goh, Bruno Bohn, Jeanine M. Genkinger, Rebecca Molinsky, Sumith Roy, Bruce J. Paster, Ching‐Yuan Chen, Stephen Johnson, Melana Yuzefpolskaya, Paolo C. Colombo, Michael Rosenbaum, Rob Knight, Moïse Desvarieux, Panos N. Papapanou, David R. Jacobs, Ryan T. Demmer","doi":"10.1111/jcpe.70084","DOIUrl":"https://doi.org/10.1111/jcpe.70084","url":null,"abstract":"Aims To investigate whether the association between the nitrite‐generating capacity of the subgingival microbiome and early cardiometabolic risk biomarkers varies by dietary nitrate intake. Materials and Methods Cross‐sectional data from 668 participants (mean age 31 ± 9 years, 73% women) were analysed. Dietary nitrate intake was calculated from food frequency questionnaires. Subgingival 16S rRNA sequencing (Illumina, MiSeq) and PICRUSt2 estimated microbial genes. The Microbiome‐Induced Nitric Oxide Enrichment Score (MINES) was calculated as a ratio of microbial gene abundances representing enhanced net capacity for NO generation. Adjusted multivariable linear models regressed cardiometabolic risk biomarkers (HbA1c, glucose, insulin, insulin resistance (HOMA‐IR), blood pressure) on nitrate intake and MINES together with a MINES × nitrate intake interaction term. Results Mean nitrate intake was 190 ± 171 mg/day. Significant interactions of MINES and nitrate intake were observed for insulin and HOMA‐IR ( <jats:italic>p</jats:italic> < 0.05). Among participants with a low MINES, higher nitrate intake was associated with lower HOMA‐IR (1.2 [1.1–1.4] vs. 1.5 [1.3–1.6]; <jats:italic>p</jats:italic> = 0.002), but levels were similar in those with high MINES ( <jats:italic>p</jats:italic> = 0.84). Conclusions A biomarker of higher microbial NO‐generating capacity in subgingival plaque is associated with lower insulin and insulin resistance among individuals with lower dietary nitrate intake. Future trials evaluating the cardiometabolic benefits of nitrate‐rich diets should incorporate measures of the entire oral microbiome.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"22 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145830262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Patrick Nafz, Thomas Kocher, Christiane Pink, Sebastian‐Edgar Baumeister, Stefan Reckelkamm, Stefanie Samietz, Sonya Nafz, Henry Völzke, Philipp Kanzow, Birte Holtfreter
Aim To investigate the association between dental restorations and adjacent periodontal status over a 7‐year period, using data from a population‐based cohort study. Materials and Methods We used 7‐year follow‐up data on the restorative and periodontal statuses of 88,793 tooth surfaces from 2158 SHIP‐TREND (Study of Health in Pomerania) participants. Using confounder‐adjusted and inverse‐probability‐weighted generalised estimating equations, we estimated the associations of restoration status with bleeding on probing (BOP), probing depth (PD) and clinical attachment level (CAL). Results Surfaces with dental restorations had significantly poorer periodontal outcomes than sound surfaces, with crowns having the greatest impact. At follow‐up, filled and crowned surfaces presented higher proportions of adjacent sites with BOP (18.5% and 22.4%, respectively) compared to sound surfaces (15.8%). Similarly, adjusted average PD was 1.93 mm adjacent to sound surfaces, 1.99 mm adjacent to surfaces with fillings and 2.14 mm adjacent to surfaces with crowns. The results remained consistent when the effects of incidentally placed fillings and crowns on follow‐up periodontal status were evaluated. Although effect modification by surface type was observed, no consistent patterns emerged across the different outcomes. Conclusion Dental restorations can have an adverse effect on periodontal health, emphasising the critical need for precise restorative techniques and post‐treatment maintenance.
{"title":"Associations Between Restoration Margins and Adjacent Periodontal Status—Longitudinal Results From SHIP‐TREND","authors":"Patrick Nafz, Thomas Kocher, Christiane Pink, Sebastian‐Edgar Baumeister, Stefan Reckelkamm, Stefanie Samietz, Sonya Nafz, Henry Völzke, Philipp Kanzow, Birte Holtfreter","doi":"10.1111/jcpe.70082","DOIUrl":"https://doi.org/10.1111/jcpe.70082","url":null,"abstract":"Aim To investigate the association between dental restorations and adjacent periodontal status over a 7‐year period, using data from a population‐based cohort study. Materials and Methods We used 7‐year follow‐up data on the restorative and periodontal statuses of 88,793 tooth surfaces from 2158 SHIP‐TREND (Study of Health in Pomerania) participants. Using confounder‐adjusted and inverse‐probability‐weighted generalised estimating equations, we estimated the associations of restoration status with bleeding on probing (BOP), probing depth (PD) and clinical attachment level (CAL). Results Surfaces with dental restorations had significantly poorer periodontal outcomes than sound surfaces, with crowns having the greatest impact. At follow‐up, filled and crowned surfaces presented higher proportions of adjacent sites with BOP (18.5% and 22.4%, respectively) compared to sound surfaces (15.8%). Similarly, adjusted average PD was 1.93 mm adjacent to sound surfaces, 1.99 mm adjacent to surfaces with fillings and 2.14 mm adjacent to surfaces with crowns. The results remained consistent when the effects of incidentally placed fillings and crowns on follow‐up periodontal status were evaluated. Although effect modification by surface type was observed, no consistent patterns emerged across the different outcomes. Conclusion Dental restorations can have an adverse effect on periodontal health, emphasising the critical need for precise restorative techniques and post‐treatment maintenance.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"23 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145807510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Emilio Couso‐Queiruga, Manrique Fonseca, Vivianne Chappuis, Gustavo‐Avila Ortiz, Giovanni E. Salvi, Frank Schwarz, Clemens Raabe
Objectives To compare the long‐term survival rate and prevalence of peri‐implant diseases between bone‐level (BL) and tissue‐level (TL) titanium implants. The secondary objective was to assess the effect of implant diameter and other risk indicators of peri‐implant diseases on the outcomes of implant therapy. Materials and Methods Adult patients with at least one non‐molar implant‐supported prosthesis (ISP) were included in the study. Relevant clinical and radiographic outcomes, along with patient‐related, anatomical, surgical and prosthetic‐related factors, were analysed. Results A total of 266 patients and 336 ISPs were included after a mean follow‐up of 11.2 ± 1.5 years. Implant survival rates at the implant level were 99.4% and 98.2% for BL and TL implants, respectively. The prevalence of peri‐implant health, mucositis and peri‐implantitis was comparable between BL (21.1%, 67.5% and 11.4%, respectively) and TL implants (20.5%, 70.5% and 9.0%). Implants with a diameter of 3.3 mm showed lower peri‐implantitis rates (7.2%) compared to those with 4.1 mm (13.3%; p = 0.02). Notably, 3.3 mm TL implants exhibited a significantly lower peri‐implantitis rate (4.8%) than BL implants (9.6%; p < 0.001). Multilevel regression at the implant level showed that parafunctional habits (OR = 0.33, 95% CI: 0.12–0.91) and greater mucosal thickness (OR = 0.44, 95% CI: 0.32–0.60) were cross‐sectionally associated with decreased odds of mucositis, whereas higher plaque scores were cross‐sectionally associated with increased odds (OR = 1.29, 95% CI: 1.03–1.61). Age was cross‐sectionally associated with peri‐implantitis (OR = 0.96, 95% CI: 0.93–0.99), higher plaque score (OR = 1.45, 95% CI: 1.11–1.90), larger implant diameter (OR = 2.98, 95% CI: 1.19–7.45) and smoking (OR = 4.54, 95% CI: 1.42–14.5), while greater mucosal thickness (OR = 0.17, 95% CI: 0.08–0.37) was cross‐sectionally associated with a reduced risk of developing this condition. Conclusions BL and TL implants at non‐molar sites exhibited comparable survival and peri‐implant disease rates. However, TL implants with 3.3 mm diameter showed lower peri‐implantitis rates. A higher plaque score increased the risk of both mucositis and peri‐implantitis, whereas smoking was a strong risk indicator for peri‐implantitis. Greater mucosal thickness was protective against both conditions.
{"title":"Bone‐Level Versus Tissue‐Level Titanium Dental Implants: A Comparative Cross‐Sectional Study","authors":"Emilio Couso‐Queiruga, Manrique Fonseca, Vivianne Chappuis, Gustavo‐Avila Ortiz, Giovanni E. Salvi, Frank Schwarz, Clemens Raabe","doi":"10.1111/jcpe.70080","DOIUrl":"https://doi.org/10.1111/jcpe.70080","url":null,"abstract":"Objectives To compare the long‐term survival rate and prevalence of peri‐implant diseases between bone‐level (BL) and tissue‐level (TL) titanium implants. The secondary objective was to assess the effect of implant diameter and other risk indicators of peri‐implant diseases on the outcomes of implant therapy. Materials and Methods Adult patients with at least one non‐molar implant‐supported prosthesis (ISP) were included in the study. Relevant clinical and radiographic outcomes, along with patient‐related, anatomical, surgical and prosthetic‐related factors, were analysed. Results A total of 266 patients and 336 ISPs were included after a mean follow‐up of 11.2 ± 1.5 years. Implant survival rates at the implant level were 99.4% and 98.2% for BL and TL implants, respectively. The prevalence of peri‐implant health, mucositis and peri‐implantitis was comparable between BL (21.1%, 67.5% and 11.4%, respectively) and TL implants (20.5%, 70.5% and 9.0%). Implants with a diameter of 3.3 mm showed lower peri‐implantitis rates (7.2%) compared to those with 4.1 mm (13.3%; <jats:italic>p</jats:italic> = 0.02). Notably, 3.3 mm TL implants exhibited a significantly lower peri‐implantitis rate (4.8%) than BL implants (9.6%; <jats:italic>p</jats:italic> < 0.001). Multilevel regression at the implant level showed that parafunctional habits (OR = 0.33, 95% CI: 0.12–0.91) and greater mucosal thickness (OR = 0.44, 95% CI: 0.32–0.60) were cross‐sectionally associated with decreased odds of mucositis, whereas higher plaque scores were cross‐sectionally associated with increased odds (OR = 1.29, 95% CI: 1.03–1.61). Age was cross‐sectionally associated with peri‐implantitis (OR = 0.96, 95% CI: 0.93–0.99), higher plaque score (OR = 1.45, 95% CI: 1.11–1.90), larger implant diameter (OR = 2.98, 95% CI: 1.19–7.45) and smoking (OR = 4.54, 95% CI: 1.42–14.5), while greater mucosal thickness (OR = 0.17, 95% CI: 0.08–0.37) was cross‐sectionally associated with a reduced risk of developing this condition. Conclusions BL and TL implants at non‐molar sites exhibited comparable survival and peri‐implant disease rates. However, TL implants with 3.3 mm diameter showed lower peri‐implantitis rates. A higher plaque score increased the risk of both mucositis and peri‐implantitis, whereas smoking was a strong risk indicator for peri‐implantitis. Greater mucosal thickness was protective against both conditions.","PeriodicalId":15380,"journal":{"name":"Journal of Clinical Periodontology","volume":"3 1","pages":""},"PeriodicalIF":6.7,"publicationDate":"2025-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145807679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Spyridon K. Kouris, Yiorgos A. Bobetsis, Sophia Lionaki, Panagiotis N. Kanellopoulos, George Maropoulos, Panagiotis A. Koromantzos, Athanasios D. Protogerou, Phoebus N. Madianos