Quality Assessment and Implications for Further Study of Acupotomy: Case Reports Using the Case Report Guidelines and the Joanna Briggs Institute Critical Appraisal Checklist

Jun, Hyungsun; Yoon, Sang-Hoon; Roh, Min-yeong; Kim, Seon-hye; Lee, Jisu; Lee, Ji‐Hyun; Kwon, Miri; Leem, Jungtae

doi:10.13045/jar.2021.00024

Cited by 5 publications

(2 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To address bias, the Critical Appraisal Checklist from the Joanna Briggs Institute (JBI) [ 18 ] was used to evaluate the risk of bias in cross-sectional analytical studies. The checklist was completed by two authors, and in case of disagreement between the two authors, the disagreement was resolved through discussion with the third author.…”

Section: Methodsmentioning

confidence: 99%

Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study

Sohrabei,

Moghaddasi,

Hosseini

et al. 2024

BMC Cancer

View full text Add to dashboard Cite

Background Providing appropriate specialized treatment to the right patient at the right time is considered necessary in cancer management. Targeted therapy tailored to the genetic changes of each breast cancer patient is a desirable feature of precision oncology, which can not only reduce disease progression but also potentially increase patient survival. The use of artificial intelligence alongside precision oncology can help physicians by identifying and selecting more effective treatment factors for patients. Method A systematic review was conducted using the PubMed, Embase, Scopus, and Web of Science databases in September 2023. We performed the search strategy with keywords, namely: Breast Cancer, Artificial intelligence, and precision Oncology along with their synonyms in the article titles. Descriptive, qualitative, review, and non-English studies were excluded. The quality assessment of the articles and evaluation of bias were determined based on the SJR journal and JBI indices, as well as the PRISMA2020 guideline. Results Forty-six studies were selected that focused on personalized breast cancer management using artificial intelligence models. Seventeen studies using various deep learning methods achieved a satisfactory outcome in predicting treatment response and prognosis, contributing to personalized breast cancer management. Two studies utilizing neural networks and clustering provided acceptable indicators for predicting patient survival and categorizing breast tumors. One study employed transfer learning to predict treatment response. Twenty-six studies utilizing machine-learning methods demonstrated that these techniques can improve breast cancer classification, screening, diagnosis, and prognosis. The most frequent modeling techniques used were NB, SVM, RF, XGBoost, and Reinforcement Learning. The average area under the curve (AUC) for the models was 0.91. Moreover, the average values for accuracy, sensitivity, specificity, and precision were reported to be in the range of 90-96% for the models. Conclusion Artificial intelligence has proven to be effective in assisting physicians and researchers in managing breast cancer treatment by uncovering hidden patterns in complex omics and genetic data. Intelligent processing of omics data through protein and gene pattern classification and the utilization of deep neural patterns has the potential to significantly transform the field of complex disease management.

show abstract

Section: Methodsmentioning

confidence: 99%

Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study

Sohrabei,

Moghaddasi,

Hosseini

et al. 2024

BMC Cancer

View full text Add to dashboard Cite

show abstract

“…In addition, for each item, the percentage of answers "yes", "no", "not clear" and "not applicable" of the total of the articles of "case reports" (Table 2 ) and "case series" (Table 3 ) was calculated. Items for which the answer was "no" and "not clear" in > 50% of articles could introduce a bias in the interpretation of the results [ 20 ].…”

Section: Methodsmentioning

confidence: 99%

Orthodontic and dentofacial orthopedic treatments in patients with ectodermal dysplasia: a systematic review

Cerezo-Cayuelas

Pérez-Silva

Serna-Muñoz

et al. 2022

Orphanet J Rare Dis

View full text Add to dashboard Cite

Objective The objective of this systematic review was to determine the orthodontic and dentofacial orthopedic treatments carried out in patients with ectodermal dysplasia to facilitate functional and aesthetic rehabilitation. Methods The systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analysis statement. We systematically searched PubMed, Web of Science, Scopus, Scielo, LILACS, EBSCOhost and Embase databases up to 6 January 2022. We included articles describing patients with any type of ectodermal dysplasia who received orthodontic or dentofacial orthopedic treatment to facilitate functional and aesthetic oral rehabilitation. The search was not restricted by language or year of publication. The quality of the studies was assessed using the Joanna Briggs Institute Quality Assessment Scale of the University of Adelaide for case series and case reports. The review was registered at the University of York Centre for reviews (CRD42021288030). Results Of the initial 403 studies found, 29 met the inclusion criteria. After applying the quality scale, 23 were left for review—21 case reports and 2 case series. The initial age of patients ranged from 34 months to 24 years. Thirteen studies were on hypohidrotic and/or anhidrotic ectodermal dysplasia, of which two were X-chromosome linked. In one study, the patient had Wiktop syndrome, and in nine the type of ectodermal dysplasia was not specified. The duration of treatment was 7 weeks to 10 years. The treatments described were: fixed orthodontic appliances or simple acrylic plates designed for tooth movement, including leveling and aligning, closing of diastemata, retraction of impacted teeth in the dental arch; clear aligners; fixed and/or removable appliances for the correction of skeletal and/or dentoalveolar relationships; palatal expanders in combination with face masks for orthopedic traction of the maxilla; and orthognathic surgery. Only three studies provided cephalometric data. Conclusion The level of evidence of the articles reviewed was low and most orthopedic and dentofacial orthodontic treatments described were focused on correcting dental malpositioning and jaw asymmetries and not on stimulating growth from an early age. Studies with greater scientific evidence are needed to determine the best treatment for these patients.

show abstract

Efficacy of Nasal Floor Augmentation on the Survival Rate of Dental Implants: A Systematic Review

Malick,

Shobha,

Prashanth

et al. 2023

J. Maxillofac. Oral Surg.

View full text Add to dashboard Cite

Quality Assessment and Implications for Further Study of Acupotomy: Case Reports Using the Case Report Guidelines and the Joanna Briggs Institute Critical Appraisal Checklist

Cited by 5 publications

References 43 publications

Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study

Investigating the effects of artificial intelligence on the personalization of breast cancer management: a systematic study

Orthodontic and dentofacial orthopedic treatments in patients with ectodermal dysplasia: a systematic review

Efficacy of Nasal Floor Augmentation on the Survival Rate of Dental Implants: A Systematic Review

Contact Info

Product

Resources

About