Christian Stoll

Prof. Dr. Christian Stoll

Department of Oral and Maxillofacial Surgery, Ruppiner Kliniken, Neuruppin, Germany

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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25 February 2024 in Medicina
Verified
Journal Article
Open access
PDF file
PPPoramate - Pitak-Arnnop
Poramate - Pitak-Arnnop
PNPopchai Ngamskulrungroj
Popchai Ngamskulrungroj
NMNithi Mahanonda
Nithi Mahanonda
PAPrim Auychai
Prim Auychai
BFBenjamin Frech
Benjamin Frech
CSChristian Stoll
Christian Stoll
While the World Health Organization (WHO) has de-escalated coronavirus disease 2019 (COVID-19) from a global health emergency, ongoing discussions persist as new viral variants. This article aimed to consolidate German recommendations and international research to offer health care providers (HCPs) a comprehensive guide on COVID-19 boosters in 2024. The review outlines key recommendations from the German Robert Koch Institute. HCPs should receive COVID-19 boosters at least 12 months after their last vaccination or COVID-19 infection, contingent on the prevalent viral variant(s) in the region. However, excessive doses and/or frequent boosters, especially with mRNA vaccines, may lead to immune imprinting, T-cell exhaustion, and immunoglobulin (Ig) switching. Notably, this review highlights the significance of Ig, particularly IgA and IgG subclasses, in influencing infection risk and disease progression. Furthermore, it explores the implications of mRNA vaccine technology and potential adverse effects related to excessive dosing. In conclusion, this article provides a comprehensive analysis of COVID-19 vaccine boosters for HCPs, synthesising current recommendations, scientific debates, and considerations for optimising protection against SARS-CoV-2 in the evolving landscape of the post-pandemic era.

2 February 2024 in Symmetry
Verified
Journal Article
Open access
PDF file
VSVeronika Shavlokhova
Veronika Shavlokhova
Andreas VollmerAndreas Vollmer
Andreas Vollmer
CSChristian Stoll
Christian Stoll
MVMichael Vollmer
Michael Vollmer
Gernot LangGernot Lang
Gernot Lang
Babak SaraviBabak Saravi
Babak Saravi
Prevailing studies on romantic relationships often emphasize facial symmetry as a factor in partner selection and marital satisfaction. This study aims to explore the inverse of this hypothesis—the relationship between facial dissimilarity and partnership duration among celebrity couples. Utilizing the CELEB-A dataset, which includes 202,599 images of 10,177 celebrities, we conducted an in-depth analysis using advanced artificial intelligence-based techniques. Deep learning and machine learning methods were employed to process and evaluate facial images, focusing on dissimilarity across various facial regions. Our sample comprised 1822 celebrity couples. The predictive analysis, incorporating models like Linear Regression, Ridge Regression, Random Forest, Support Vector Machine, and a Neural Network, revealed varying degrees of effectiveness in estimating partnership duration based on facial features and partnership status. However, the most notable performance was observed in Ridge Regression (Mean R2 = 0.0623 for whole face), indicating a moderate predictive capability. The study found no significant correlation between facial dissimilarity and partnership duration. These findings emphasize the complexity of predicting relationship outcomes based solely on facial attributes and suggest that other nuanced factors might play a more critical role in determining relationship dynamics. This study contributes to the understanding of the intricate nature of partnership dynamics and the limitations of facial attributes as predictors.

16 December 2024 in International Journal of Implant Dentistry
Verified
Journal Article
Open access
JPJens-Uwe Peter
Jens-Uwe Peter
JLJohannes Ladewig
Johannes Ladewig
CSChristian Stoll
Christian Stoll
OZOliver Zolk
Oliver Zolk
Purpose: Prophylactic antibiotics are used in dental implants to reduce infection risk and implant failure, especially benefiting patients with risk factors. However, evidence suggests that using clindamycin or extending antibiotics postoperatively has an unfavorable risk–benefit ratio. Methods: This national cross-sectional study analyzed antibiotic prophylaxis during implant insertion across Germany. Dentists from the German Society for Oral Implantology (DGOI) provided demographic information and data on the next 10 consecutive implant patients, including age, sex, risk factors, type of implantation, and antibiotic details. Results: 103 dentists participated, providing data on 1040 patients. Most dentists were male and aged 30–64. Patients were evenly split between genders, with an average age of 51 years. Antibiotics were administered in 87.6% of all cases, more frequently for patients undergoing bone augmentation (OR 7.01, p < 0.0001), immediate (OR 3.11, p = 0.002) or delayed (OR 5.30, p < 0.0001) implant insertion, and those with cardiovascular disease (OR 3.24, p = 0.009). 74.8% of implantologists tended to use antibiotic prophylaxis routinely, while the remaining implantologists decided on a case-by-case basis. Implantologists primarily used aminopenicillins for 63.8% of prescriptions and clindamycin for the remaining 35.6%. Additionally, 78.8% of patients with prophylaxis received postoperative, multi-day treatments. Conclusions: The study reveals extensive antibiotic use for perioperative prophylaxis in implant surgery, often not justified by current recommendations, particularly concerning the choice of antibiotic (e.g., clindamycin) and duration (e.g., postoperative use). Specialized clinical guidelines and targeted training for dentists on antibiotic prophylaxis are needed. Graphical