Article
Respiratory System
Mohsen Sadatsafavi, Amin Adibi, Milo Puhan, Andrea Gershon, Shawn D. Aaron, Don D. Sin
Summary: Decision curve analysis is a novel method for quantifying the net benefit of a risk prediction model, providing a way to answer the critical question of clinical utility.
EUROPEAN RESPIRATORY JOURNAL
(2021)
Review
Clinical Neurology
Andrew J. Vickers, Ford Holland
Summary: Decision curve analysis is a valuable method for evaluating the clinical value of prediction models in orthopedics. By comparing the net benefit and threshold probability of prediction models, their clinical value can be determined. Decision curves help draw conclusions on the clinical value of prediction models.
Article
Energy & Fuels
Xingyu Sun, Fan Zhang, Jingping Liu, Xiongbo Duan
Summary: This study developed a high-throughput method to predict the research octane number (RON) of gasoline by considering its properties and using the Random Forest (RF) algorithm. The experimental results showed that this method can accurately predict the RON of gasoline, thereby improving the production of commercial spark ignition engine fuels.
Article
Endocrinology & Metabolism
T. P. Ho-Le, H. T. T. Tran, J. R. Center, J. A. Eisman, H. T. Nguyen, T. Nguyen
Summary: A study on 2188 women and 1324 men found that an osteogenomic profile constructed from 62 genetic variants improved the clinical net benefit of fracture risk prediction over and above that of clinical risk factors and BMD, especially in higher risk thresholds.
OSTEOPOROSIS INTERNATIONAL
(2021)
Article
Sport Sciences
Garrett S. Bullock, Ellen Shanley, Charles A. Thigpen, Nigel K. Arden, Thomas K. Noonan, Michael J. Kissenberth, Douglas J. Wyland, Gary S. Collins
Summary: This study aimed to perform temporal recalibration on a previously developed injury prediction model and assess its performance in professional baseball pitchers. The results showed that the recalibrated model demonstrated the best discrimination and R-square, indicating improved accuracy in predicting arm injuries in professional baseball players.
JOURNAL OF STRENGTH AND CONDITIONING RESEARCH
(2023)
Article
Public, Environmental & Occupational Health
Dajung Ryu, Sohyune Sok
Summary: This study aimed to identify predictors that affect the quality of life of single-person households aged 65 years or older in South Korea. The results showed that subjective health status and chronic disease are significant factors influencing the quality of life.
FRONTIERS IN PUBLIC HEALTH
(2023)
Article
Medicine, General & Internal
Michiel Schinkel, Anneroos W. Boerman, Frank C. Bennis, Tanca C. Minderhoud, Mei Lie, Hessel Peters-Sengers, Frits Holleman, Rogier P. Schade, Robert de Jonge, W. Joost Wiersinga, Prabath W. B. Nanayakkara
Summary: The study aimed to develop a machine learning model to predict blood culture outcomes in the emergency department (ED) and validate its performance through validation and real-time evaluation.
Article
Immunology
Bo Li, Weiqing Wu, Aijun Liu, Lifeng Feng, Bin Li, Yong Mei, Li Tan, Chaoyang Zhang, Yangtao Tian
Summary: A reliable diagnostic prediction model was established for the early stage of severe pancreatitis. Neutrophils, albumin, blood glucose, serum calcium, serum creatinine, blood urea nitrogen, and procalcitonin were identified as independent predictive factors for severe acute pancreatitis. The established model showed high discrimination and accuracy compared to other scoring systems.
JOURNAL OF INFLAMMATION RESEARCH
(2023)
Article
Oncology
Zong-Xi Yao, Jun-Hao Tu, Bin Zhou, Yang Huang, Yu-Lin Liu, Xiao-Feng Xue
Summary: This study identifies the risk and prognostic factors for pancreatic cancer with lung metastasis (PCLM) and establishes nomograms to predict the risk and survival of PCLM patients. The nomogram models exhibit excellent performance in predicting the outcomes of PCLM patients, helping clinicians effectively identify high-risk patients and predict their clinical outcomes.
FRONTIERS IN ONCOLOGY
(2022)
Article
Clinical Neurology
Martin Coia Jadresic, Joseph F. Baker
Summary: This study developed a novel tool called NZSpine to model the risk of complications within 30 days of spine surgery. Through retrospective analysis and validation, the model demonstrated good discrimination and calibration, and showed greater clinical utility compared to the existing tool SpineSage in decision curve analysis.
GLOBAL SPINE JOURNAL
(2022)
Article
Physiology
Yangzi Zhou, Zixuan Song, Xiaoxue Wang, Mingjie Zhang, Xueting Chen, Dandan Zhang
Summary: This study developed and validated a predictive nomogram for postpartum hemorrhage in patients with PPP, including factors such as age, gestational age, neonatal birth weight, gestational diabetes mellitus, amniotic fluid index, gestational bleeding, and ultrasonic risk score. The nomogram was more accurate than using the ultrasonic score alone and demonstrated good clinical efficacy.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Geriatrics & Gerontology
J. J. Li, S. Jiang, M. L. Zhu, X. H. Liu, X. H. Sun, S. Q. Zhao
Summary: The study compared the predictive ability of three frailty scales (FP, FRAIL, FI) and found that they had similar predictive value for adverse outcomes. Among the three scales, FRAIL may be the most practical choice due to its simplicity. Multidimensional measures of frailty were found to be more effective for predicting adverse outcomes among older adults compared to unidimensional measures.
JOURNAL OF NUTRITION HEALTH & AGING
(2021)
Article
Medical Informatics
Markus Huber, Patrick Schober, Sven Petersen, Markus M. M. Luedi
Summary: Prediction models have become increasingly important in perioperative systems approaches, particularly in complex patients with open abdomen treatment for peritonitis. Combining predictors from multiple medical domains enhances the prediction capabilities compared to single-domain models. However, the clinical utility of these prediction models needs further investigation.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2023)
Article
Surgery
A. Masie Rahimi, Sem F. Hardon, Ezgi Uluc, H. Jaap Bonjer, Freek Daams
Summary: This study investigates the prediction of proficiency in laparoscopic skills based on performance in a laparoscopic box trainer. The results show a significant relationship between force, motion and time in six different tasks and the prediction of proficiency.
SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES
(2023)
Article
Oncology
Chihao Zhang, Ran Zhao, Fancheng Chen, Yiming Zhu, Liubo Chen
Summary: The study successfully constructed a nomogram-based prediction model to predict the risk of microvascular invasion in HCC patients, demonstrating clinical utility in preoperatively estimating MVI risk and establishing more rational therapeutic strategies.
TRANSLATIONAL ONCOLOGY
(2021)
Article
Urology & Nephrology
Roy Mano, Amy L. Tin, Andrew W. Silagy, Samuel C. Haywood, Chun Huang, Nicole E. Benfante, Gregory W. Fischer, Andrew J. Vickers, Paul Russo, Jonathan A. Coleman, Patrick J. McCormick, Joshua S. Mincer, Abraham Ari Hakimi
Summary: After reviewing data from 3240 patients undergoing nephrectomy, it was found that intraoperative anaesthetic parameters have a minor impact on postoperative renal function, with limited clinical significance. Due to tight control of anaesthetic parameters during surgery, their effect on postoperative renal function is restricted under current practice.
Article
Urology & Nephrology
Shawn Dason, Emily A. Vertosick, Kazuma Udo, Daniel D. Sjoberg, Andrew J. Vickers, Hikmat Al-Ahmadie, Ying-Bei Chen, Anuradha Gopalan, S. Joseph Sirintrapun, Satish K. Tickoo, Peter T. Scardino, James A. Eastham, Victor E. Reuter, Samson W. Fine
Summary: The study investigated the impact of surgical margin subclassification on predicting biochemical recurrence in prostate cancer patients post-radical prostatectomy. While the addition of surgical margin subclassification did not significantly improve predictive accuracy in the full cohort, it showed significant improvements in discrimination when considering only men with positive surgical margins. These findings suggest that subclassification parameters may enhance predictive accuracy and aid in clinical decision-making for this patient population.
Editorial Material
Medicine, Research & Experimental
Andrew Vickers
Editorial Material
Urology & Nephrology
Andrew Vickers
Letter
Oncology
Scott E. Eggener, Alejandro Berlin, Andrew J. Vickers, Gladell P. Paner, Howard Wolinsky, Matthew R. Cooperberg
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Editorial Material
Oncology
Andrew J. Vickers, Brandon Mahal, Olorunseun O. Ogunwobi
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Health Care Sciences & Services
Konstantina Chalkou, Andrew J. Vickers, Fabio Pellegrini, Andrea Manca, Georgia Salanti
Summary: Decision curve analysis is a method to evaluate personalized treatment models for better clinical decisions. This study extended the analysis to situations with multiple treatment options using network meta-analysis. The results showed that the personalized treatment model performed either better or close to one-size-fit-all treatment strategies, but further improvement is needed to ensure consistent performance across all thresholds.
MEDICAL DECISION MAKING
(2023)
Article
Urology & Nephrology
Hein V. Stroomberg, Marc C. M. Andersen, John Thomas Helgstrand, Signe Benzon Larsen, Andrew J. Vickers, Emeritus Klaus Brasso, Andreas Roder
Summary: A study in Denmark involving 37,231 men who had an initial non-malignant transrectal ultrasonography (TRUS) biopsy showed that these men had a higher incidence of subsequent prostate cancer but a lower risk of prostate cancer death compared to the general population. It suggests that the oncological risk of cancers missed in the initial TRUS biopsy is low, and attempts to increase biopsy sensitivity are unwarranted. Current follow-up after a non-malignant biopsy may be overaggressive, especially for men over the age of 60.
Review
Urology & Nephrology
Andrew J. Vickers, Melissa Assel, Rodney L. Dunn, Emily C. Zabor, Michael W. Kattan, Maarten van Smeden, Darren Dahly
Article
Computer Science, Information Systems
Karandeep Singh, Nigam H. Shah, Andrew J. Vickers
Summary: The objective of this study is to provide a method to calculate model performance measures in the presence of resource constraints, with a focus on net benefit (NB). The Equator Network's TRIPOD guidelines recommend the calculation of the NB to quantify a model's clinical utility. This study demonstrates how resource constraints affect the realized net benefit (RNB) of a hypothetical ICU admission model and proposes solutions to overcome absolute constraints when possible.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2023)
Article
Health Care Sciences & Services
Mohsen Sadatsafavi, Tae Yoon Lee, Laure Wynants, Andrew J. Vickers, Paul Gustafson
Summary: Before using a previously developed risk prediction model in a new population, it needs to be validated. Limited validation sample size leads to uncertainty in model performance. This study applies value-of-information methodology to quantify the consequence of uncertainty in terms of net benefit (NB).
MEDICAL DECISION MAKING
(2023)
Article
Oncology
Taylor M. McCready, Cara Stabile, Andrew Vickers, Jessica S. Ancker, Andrea Pusic, Larissa K. F. Temple, Brett A. Simon, Jeanne Carter
Summary: We developed the Recovery Tracker to help cancer patients recovering from surgery at home determine whether their postoperative symptoms are normal or potentially serious. Through interviews with patients, we found that the Recovery Tracker led to improved communication with the care team, reduced stress caused by unexpected symptoms, and was perceived as a helpful tool for reflection and reassurance. Further research is needed to test the tool in diverse populations.
JCO ONCOLOGY PRACTICE
(2023)
Article
Medicine, Research & Experimental
Andrew J. Vickers, Emily A. Vertosick, Mia Austria, Christopher D. Gaffney, Sigrid Carlsson, Scott Y. H. Kim, Behfar Ehdaie
Summary: This study compared the effects of one-stage and two-stage informed consent on patient understanding, anxiety, and decisional quality. The results showed that two-stage consent slightly outperformed one-stage consent in terms of patient understanding, while the differences in anxiety and decisional outcomes were small.
Letter
Oncology
Andrew J. Vickers, Brandon Mahal, Olorunseun O. Ogunwobi
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Oncology
Anne Sofie Friberg, Sigrid V. V. Carlsson, Andrew J. J. Vickers, Susanne Oksbjerg Dalton, Signe Benzon Larsen, Lena Saltbaek, Beverley Lim Hoeg, Pernille Envold Bidstrup, Thomas Helgstrand, Andreas Roder, Klaus Brasso, Christoffer Johansen
Summary: The study examined the risk of suicide among prostate cancer patients compared to cancer-free men, taking into consideration clinical stage, socioeconomic position, somatic comorbidity, and previous depression. The risk of suicide was found to be similar between prostate cancer patients and cancer-free men, but it was highest within the first year after diagnosis. Prostate cancer patients with a history of depression had a higher risk of suicide. Healthcare professionals should pay attention to the risk of suicide among men with previous depression following a prostate cancer diagnosis.