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Ensuring treatment fidelity in intervention studies: Developing a checklist and scoring system within a behaviour change paradigm
CONCLUSIONS: Results emphasise the importance of training quality, practice and reflective opportunities and clear materials to promote treatment fidelity. The construction of the checklist and scoring system was described in detail, informing the development of future checklists. After further trialling, the checklist can be used to ensure the M-DLS is delivered with high treatment fidelity in the comparison trial.WHAT THIS PAPER ADDS: What is already known on this subject Treatment fidelity is an essential component of intervention effectiveness and efficacy studies, ensuring the intervention is delivered as intended. It...
Source: International Journal of Language and Communication Disorders - September 16, 2023 Category: Speech-Language Pathology Authors: Jo Baker Helen Stringer Cristina McKean Source Type: research
Olfactory training: Effects of multisensory integration, attention towards odors and physical activity
Chem Senses. 2023 Sep 16:bjad037. doi: 10.1093/chemse/bjad037. Online ahead of print.ABSTRACTOlfactory training (OT) has been shown to be of value in the treatment of olfactory dysfunction. The present study aimed to investigate whether the efficacy of OT could be modulated with multisensory integration, attention towards odors, odor complexity, or physical activity assessed with a questionnaire. One hundred healthy participants were recruited and divided into four groups. Except for controls (n=26, mean age±sd = 36±15 years) all participants performed OT four times a day. In the "Video" group (n=26, age 39±19 years) OT...
Source: Chemical Senses - September 16, 2023 Category: Biochemistry Authors: Zetian Li Anne Abriat Thomas Hummel Source Type: research
Constructing phylogenetic networks via cherry picking and machine learning
CONCLUSIONS: Unlike the existing exact methods, our heuristics are applicable to datasets of practical size, and the experimental study we conducted on both simulated and real data shows that these solutions are qualitatively good, always within some small constant factor from the optimum. Moreover, our machine-learned heuristics are one of the first applications of machine learning to phylogenetics and show its promise.PMID:37717003 | PMC:PMC10505335 | DOI:10.1186/s13015-023-00233-3
Source: Algorithms for Molecular Biology : AMB - September 16, 2023 Category: Molecular Biology Authors: Giulia Bernardini Leo van Iersel Esther Julien Leen Stougie Source Type: research
The Anesthesiology Physician-Scientist Pipeline: Current Status and Recommendations for Future Growth-An Initiative of the Anesthesia Research Council
Anesth Analg. 2023 Oct 1;137(4):728-742. doi: 10.1213/ANE.0000000000006520. Epub 2023 Sep 5.ABSTRACTThe limited number and diversity of resident physicians pursuing careers as physician-scientists in medicine has been a concern for many decades. The Anesthesia Research Council aimed to address the status of the anesthesiology physician-scientist pipeline, benchmarked against other medical specialties, and to develop strategic recommendations to sustain and expand the number and diversity of anesthesiology physician-scientists. The working group analyzed data from the Association of American Medical Colleges and the Nationa...
Source: Anesthesia and Analgesia - September 15, 2023 Category: Anesthesiology Authors: Charles W Emala Vivianne L Tawfik Meghan B Lane-Fall Paloma Toledo Cynthia A Wong Monica S Vavilala Lee A Fleisher Margaret Wood Source Type: research
Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer
CONCLUSION: Multiplex analysis based on DRGs, CRGs and FRGs correlated strongly with BC, providing new insights for developing clinical prognostic tools and designing immunotherapy regimens for BC patients.PMID:37712959 | DOI:10.1007/s00432-023-05378-7
Source: Cell Research - September 15, 2023 Category: Cytology Authors: Lijun Xu Shanshan Wang Dan Zhang Yunxi Wu Jiali Shan Huixia Zhu Chongyu Wang Qingqing Wang Source Type: research
Digital twin-driven dynamic monitoring system of the upper limb force
In conclusion, our digital twin-driven system is of great importance for rehabilitation medicine, biomechanical scientific research and physical training, promoting the application of the digital twin in the human biomedical field.PMID:37713212 | DOI:10.1080/10255842.2023.2254881
Source: Computer Methods in Biomechanics and Biomedical Engineering - September 15, 2023 Category: Biomedical Engineering Authors: Yanbin Guo Yingbin Liu Wenxuan Sun Shuai Yu Xiao-Jian Han Xin-Hui Qu Guoping Wang Source Type: research
The value of radiomics model based on ultrasound image features in the differentiation between minimal breast cancer and small benign breast masses
CONCLUSION: The radiomics model based on ultrasound image features has a satisfied predictive ability for small breast masses, and is expected to become a potential tool for the diagnosis of MBC, and it is a zero cost (in terms of patient participation and imaging time).PMID:37712556 | DOI:10.1002/jcu.23556
Source: Clinical Lung Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Shuyi Lyu Meiwu Zhang Baisong Zhang Jiazhen Zhu Libo Gao Yuqin Qiu Liu Yang Yan Zhang Source Type: research
Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer
CONCLUSION: Multiplex analysis based on DRGs, CRGs and FRGs correlated strongly with BC, providing new insights for developing clinical prognostic tools and designing immunotherapy regimens for BC patients.PMID:37712959 | DOI:10.1007/s00432-023-05378-7
Source: Clinical Genitourinary Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Lijun Xu Shanshan Wang Dan Zhang Yunxi Wu Jiali Shan Huixia Zhu Chongyu Wang Qingqing Wang Source Type: research
The value of radiomics model based on ultrasound image features in the differentiation between minimal breast cancer and small benign breast masses
CONCLUSION: The radiomics model based on ultrasound image features has a satisfied predictive ability for small breast masses, and is expected to become a potential tool for the diagnosis of MBC, and it is a zero cost (in terms of patient participation and imaging time).PMID:37712556 | DOI:10.1002/jcu.23556
Source: Clinical Genitourinary Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Shuyi Lyu Meiwu Zhang Baisong Zhang Jiazhen Zhu Libo Gao Yuqin Qiu Liu Yang Yan Zhang Source Type: research
Machine learning- and WGCNA-mediated double analysis based on genes associated with disulfidptosis, cuproptosis and ferroptosis for the construction and validation of the prognostic model for breast cancer
CONCLUSION: Multiplex analysis based on DRGs, CRGs and FRGs correlated strongly with BC, providing new insights for developing clinical prognostic tools and designing immunotherapy regimens for BC patients.PMID:37712959 | DOI:10.1007/s00432-023-05378-7
Source: Clinical Breast Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Lijun Xu Shanshan Wang Dan Zhang Yunxi Wu Jiali Shan Huixia Zhu Chongyu Wang Qingqing Wang Source Type: research
The value of radiomics model based on ultrasound image features in the differentiation between minimal breast cancer and small benign breast masses
CONCLUSION: The radiomics model based on ultrasound image features has a satisfied predictive ability for small breast masses, and is expected to become a potential tool for the diagnosis of MBC, and it is a zero cost (in terms of patient participation and imaging time).PMID:37712556 | DOI:10.1002/jcu.23556
Source: Clinical Breast Cancer - September 15, 2023 Category: Cancer & Oncology Authors: Shuyi Lyu Meiwu Zhang Baisong Zhang Jiazhen Zhu Libo Gao Yuqin Qiu Liu Yang Yan Zhang Source Type: research
Development of a national deep learning-based auto-segmentation model for the heart on clinical delineations from the DBCG RT nation cohort
CONCLUSIONS: This study demonstrated a deep learning-based auto-segmentation model trained on curated clinical delineations which performs on par with a model trained on dedicated delineations, making it easier to develop multi-institutional auto-segmentation models.PMID:37712509 | DOI:10.1080/0284186X.2023.2252582
Source: Acta Oncologica - September 15, 2023 Category: Cancer & Oncology Authors: Emma Riis Skars ø Lasse Refsgaard Abhilasha Saini Ditte Sloth M øller Ebbe Laugaard Lorenzen Else Maae Karen Andersen Maja Vestm ø Maraldo Marie Louise Milo Tine Bisballe Nyeng Birgitte Vrou Offersen Stine Sofia Korreman Source Type: research
A web-based prediction model for long-term cancer-specific survival of middle-aged patients with early-stage gastric cancer: a multi-institutional retrospective study
CONCLUSION: This study developed and validated a new nomogram to predict CSS in middle-aged patients with EGC. The prediction model has unique and practical value and can help doctors carry out individualized treatment and judge prognosis.PMID:37712958 | DOI:10.1007/s00432-023-05405-7
Source: Pain Physician - September 15, 2023 Category: Anesthesiology Authors: Simeng Zhang Longbo Zheng Yuxia Zhang Yuan Gao Lei Liu Zinian Jiang Liang Wang Zheng Ma Jinhui Wu Jiansheng Chen Yun Lu Dongsheng Wang Source Type: research
The Anesthesiology Physician-Scientist Pipeline: Current Status and Recommendations for Future Growth-An Initiative of the Anesthesia Research Council
Anesth Analg. 2023 Oct 1;137(4):728-742. doi: 10.1213/ANE.0000000000006520. Epub 2023 Sep 5.ABSTRACTThe limited number and diversity of resident physicians pursuing careers as physician-scientists in medicine has been a concern for many decades. The Anesthesia Research Council aimed to address the status of the anesthesiology physician-scientist pipeline, benchmarked against other medical specialties, and to develop strategic recommendations to sustain and expand the number and diversity of anesthesiology physician-scientists. The working group analyzed data from the Association of American Medical Colleges and the Nationa...
Source: Pain Physician - September 15, 2023 Category: Anesthesiology Authors: Charles W Emala Vivianne L Tawfik Meghan B Lane-Fall Paloma Toledo Cynthia A Wong Monica S Vavilala Lee A Fleisher Margaret Wood Source Type: research
Computed tomography angiography-based radiomics model to identify high-risk carotid plaques
CONCLUSIONS: The combined model of the radiomics features of carotid plaques and PVAT and the traditional CTA features significantly contributes to identifying high-risk carotid plaques compared with traditional CTA model.PMID:37711840 | PMC:PMC10498225 | DOI:10.21037/qims-23-158
Source: Atherosclerosis - September 15, 2023 Category: Cardiology Authors: Chao Chen Wei Tang Yong Chen Wenhan Xu Ningjun Yu Chao Liu Zenghui Li Zhao Tang Xiaoming Zhang Source Type: research
