Article
Hematology
Colleen A. Ramsower, Allison Rosenthal, Ryan S. Robetorye, Raphael Mwangi, Matthew Maurer, Diego Villa, Tim McDonnell, Andrew Feldman, Jonathon B. Cohen, Thomas Habermann, Elias Campo, Guillem Clot, Marco M. Buhler, Marta Kulis, Jose Ignacio Martin-Subero, Eva Gine, James R. Cook, Brian Hill, Philipp W. Raess, Klaus H. Beiske, Alexander Reichart, Sylvia Hartmann, Harald Holte, David Scott, Lisa Rimsza
Summary: In this study, a comprehensive comparison of clinicopathological features in older mantle cell lymphoma (MCL) patients was undertaken. The strongest prognostic indicators were identified as the simplified MCL international prognostic index (s-MIPI) and MCL35, along with blastoid cytology. Combining MIPI with MCL35 to assess proliferation may be an effective method for risk stratification in older MCL patients in future clinical trials.
BRITISH JOURNAL OF HAEMATOLOGY
(2023)
Article
Oncology
Huijuan Lv, Yue Fei, Wei Li, Yi Wang, Jinni Wang, Jin He, Xianming Liu, Lanfang Li, Lihua Qiu, Zhengzi Qian, Shiyong Zhou, Bin Meng, Qiongli Zhai, Xiubao Ren, Dehui Zou, Qingqing Cai, Xianhuo Wang, Huilai Zhang
Summary: A novel prognostic model integrating clinical and immune parameters, IRPI, showed better prognostic performance for risk classification of MCL patients compared to traditional MIPI.
HEMATOLOGICAL ONCOLOGY
(2022)
Article
Pathology
Mehrnoosh Tashakori, Do Hwan Kim, Rashmi Kanagal-Shamanna, Francisco Vega, Roberto N. Miranda, Preetesh Jain, Michael Wang, L. Jeffrey Medeiros, Chi Young Ok
Summary: The study reported 83 cases of mantle cell lymphoma (MCL) involving the tonsil as initial manifestation, with most patients presenting similar to acute tonsillitis, lymphadenopathy and advanced disease stage being common. The results showed that patients with classic MCL morphology had a superior overall survival compared to those with aggressive morphology, and patients with limited-stage disease had better outcomes.
Article
Oncology
Yucai Wang, Preetesh Jain, Frederick L. Locke, Matthew J. Maurer, Matthew J. Frank, Javier L. Munoz, Saurabh Dahiya, Amer M. Beitinjaneh, Miriam T. Jacobs, Joseph P. Mcguirk, Julie M. Vose, Andre Goy, Charalambos Andreadis, Brian T. Hill, Kathleen A. Dorritie, Olalekan O. Oluwole, Abhinav Deol, Jonas Paludo, Bijal Shah, Trent Wang, Rahul Banerjee, David B. Miklos, Aaron P. Rapoport, Lazaros Lekakis, Armin Ghobadi, Sattva S. Neelapu, Yi Lin, Michael L. Wang, Michael D. Jain
Summary: This study evaluated the efficacy and toxicity of Brexucabtagene autoleucel (brexu-cel) for relapsed/refractory mantle cell lymphoma (MCL) in the standard-of-care setting. The results showed that the efficacy and toxicity of brexu-cel were consistent with those reported in the ZUMA-2 trial. Tumor-intrinsic features of MCL, and possibly recent bendamustine exposure, may be associated with inferior efficacy outcomes.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Genetics & Heredity
Xin Zhang, Yang Han, Yu Nie, Yujie Jiang, Xiaohui Sui, Xueling Ge, Fang Liu, Ya Zhang, Xin Wang
Summary: This study reveals the prognostic value of PAX5 in mantle cell lymphoma and establishes a new risk scoring system, MIPI-SP, which outperforms the MIPI score in predicting prognosis.
JOURNAL OF MOLECULAR MEDICINE-JMM
(2023)
Article
Hematology
Yue-Hua Zhang, Li-Min Gao, Xiao-Yu Xiang, Wen-Yan Zhang, Wei-Ping Liu
Summary: This study aimed to investigate the optimal cut-off value for p53 in predicting prognosis of MCL patients and the feasibility of using computer image analysis to determine the positive rate of p53. The results showed that setting the cut-off value of p53 at 20% can effectively predict the prognosis of MCL patients. Additionally, computer image analysis can replace semiquantitative estimation and has better prospects in MCL.
ANNALS OF HEMATOLOGY
(2022)
Article
Oncology
Tao Wang, Wenqin Yue, Gusheng Tang, Mingyu Ye, Jiechen Yu, Bin Liu, Lijuan Jiao, Xuefei Liu, Shuyi Yin, Jie Chen, Lei Gao, Jianmin Yang, Miaoxia He
Summary: SAMHD1 is a protein that regulates innate immunity and DNA damage signaling, with high expression positively correlated with lower chemotherapy response rate and shorter overall survival in mantle cell lymphoma (MCL) patients, serving as an adverse biomarker. Silencing the SAMHD1 gene in MCL cell lines reduces cell proliferation and increases apoptosis, as well as enhances sensitivity to cytarabine. Four previously unreported missense mutations in the SAMHD1 gene were detected, although their biological functions remain to be elucidated.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Pallawi Torka, Othman S. Akhtar, Nishitha M. Reddy, Bora E. Baysal, Angela Kader, Adrienne Groman, Jenna Nichols, Cory Mavis, Joseph D. Tario, AnneMarie W. Block, Sheila N. J. Sait, Paola Ghione, Suchitra Sundaram, Eugene R. Przespolewski, Alice Mohr, Ian Lund, Jessica Kostrewa, Kenneth McWhite, Joseph DeMarco, Michael Johnson, Andrea Darrall, Rosh-Neke Thomas-Talley, Paul K. Wallace, Vishala Neppalli, Alan Hutson, Francisco J. Hernandez-Ilizaliturri
Summary: This study evaluates the safety and efficacy of combining ofatumumab with HyperCVAD/MA in newly diagnosed MCL. The results show that this combination therapy leads to high rates of MRD negativity and improved overall survival in patients with MCL. Achieving a CR post-induction by both imaging and flow cytometry is associated with better outcomes.
Article
Medicine, General & Internal
Yu-Qing Chen, Zi-Fan Yue, Sai-Nan Chen, Fei Tong, Wei-Hua Yang, Rui-Li Wei
Summary: This study is the largest population-based case series of orbital diffuse large B-cell lymphoma (DLBCL) to date, and it found that age at diagnosis, marital status, absence of chemotherapy or radiotherapy, and tumor stage were all correlated with worse prognosis.
FRONTIERS IN MEDICINE
(2022)
Review
Oncology
Yu Zhou, Haizhu Chen, Yunxia Tao, Qiaofeng Zhong, Yuankai Shi
Summary: This meta-analysis found that MRD positivity was associated with worse survival outcomes in mantle cell lymphoma, suggesting the important prognostic value of MRD in MCL patients and the need for further research.
Article
Multidisciplinary Sciences
Caixia Jing, Yuhuan Zheng, Yu Feng, Xia Cao, Caigang Xu
Summary: The study revealed that TP53 mutations in MCL patients have a negative impact on their survival, and patients with triple-positive expression of p53/Sox11/Pax5 have a higher risk. This risk stratification is independent of other prognostic indicators and may help identify high-risk MCL patients.
SCIENTIFIC REPORTS
(2021)
Article
Oncology
Zheng-Huan Liu, Lu-Chen Yang, Pan Song, Kun Fang, Jing Zhou, Zhu-Feng Peng, Qiang Dong
Summary: This study utilized the SEER database to investigate the clinical characteristics and prognostic factors of UT-DLBCL patients, revealing that surgical resection and chemotherapy significantly improve survival rates, while factors such as age over 75, male gender, lack of surgical resection or chemotherapy, and stage IV DLBCL may lead to poorer outcomes.
FRONTIERS IN ONCOLOGY
(2021)
Review
Biochemistry & Molecular Biology
Leigh Deshotels, Firas M. M. Safa, Nakhle S. S. Saba
Summary: Although major progress has been made in mantle cell lymphoma (MCL) therapeutics, MCL still has a poor prognosis with a median survival of less than four years. Several genes, including NOTCH1 and NOTCH2, have been found to be mutated in MCL, leading to upregulation of genes involved in angiogenesis, cell cycle progression, and cell migration and adhesion. Mutated NOTCH genes are associated with aggressive features in MCL and inferior survival. This article discusses the role of NOTCH signaling in MCL biology and ongoing efforts for targeted therapeutic interventions.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Hematology
Jin-Hua Liang, Yi-Min Ren, Kai-Xin Du, Rui Gao, Zi-Wen Duan, Jing-Ran Guo, Tong-Yao Xing, Wei-Ting Wang, Li Wang, Yan Wang, Rong Wang, Jian-Yong Li, Wei Xu
Summary: Reprogramming of nucleotide metabolism is crucial in mantle cell lymphoma and is associated with different transcriptional signaling pathways and prognosis. A prognostic model incorporating six genes, including CTPS1, accurately predicts the prognosis of MCL patients. Increased expression of CTPS1 is an independent prognostic factor for adverse overall survival and progression-free survival.
BRITISH JOURNAL OF HAEMATOLOGY
(2023)
Article
Cell Biology
Esra Esmeray Sonmez, Tevfik Hatipoglu, Deniz Kursun, Xiaozhou Hu, Burcu Akman, Hongling Yuan, Ayca Ersen Danyeli, Inci Alacacioglu, Sermin Ozkal, Aybuke Olgun, Taner Kemal Erdag, Hua You, Can Kucuk
Summary: This study identified genes and transcripts associated with the development and prognosis of mantle cell lymphoma (MCL) through transcriptome sequencing. The high expression of VWF mRNA and low expression of FTX lncRNA were found to be associated with poor overall survival in MCL cases. Additionally, the ratio of tumor-infiltrating immunocytes was also correlated with overall survival in MCL patients.
Article
Surgery
W. A. R. Zwaans, J. A. de Bruijn, J. P. Dieleman, E. W. Steyerberg, M. R. M. Scheltinga, R. M. H. Roumen
Summary: The purpose of this study was to examine whether patients tend to overestimate or underestimate their pre-operative pain levels when recalling them in the post-operative phase. The study found that a significant percentage of patients experienced recall bias, leading to misclassification of treatment outcomes.
Article
Medicine, General & Internal
David J. McLernon, Daniele Giardiello, Ben Van Calster, Laure Wynants, Nan van Geloven, Maarten van Smeden, Terry Therneau, Ewout W. Steyerberg, STRATOS Initiative
Summary: Risk prediction models need validation to assess their performance. This article focuses on evaluating predictions and improving clinical decision making using survival models based on Cox proportional hazards regression. The authors present a case study on breast cancer patients, where a Cox regression model is developed and validated for prediction of recurrence or death.
ANNALS OF INTERNAL MEDICINE
(2023)
Article
Critical Care Medicine
Anne A. H. de Hond, Ilse M. J. Kant, Mattia Fornasa, Giovanni Cina, Paul W. G. Elbers, Patrick J. J. Thoral, M. Sesmu Arbous, Ewout W. W. Steyerberg
Summary: This study aimed to assess the performance of a decision support tool based on a machine learning model in predicting readmission or death within 7 days after ICU discharge. Through independent validation and retraining on multiple datasets, it was found that the model performed well in new settings and can be considered as an effective clinical tool.
CRITICAL CARE MEDICINE
(2023)
Article
Gastroenterology & Hepatology
Carlijn A. M. Roumans, Ruben D. van der Bogt, Daan Nieboer, Ewout W. Steyerberg, Dimitris Rizopoulos, Iris Lansdorp-Vogelaar, Katharina Biermann, Marco J. Bruno, Manon C. W. Spaander
Summary: In this multicenter prospective cohort study, it was found that half of Barrett's esophagus (BE) surveillance endoscopies do not adhere to guideline recommendations. However, there was no clear association between nonadherence and endoscopic curability of esophageal adenocarcinoma (EAC) or mortality, indicating the need for optimization of BE surveillance guidelines to minimize the burden of endoscopies.
DISEASES OF THE ESOPHAGUS
(2023)
Article
Cardiac & Cardiovascular Systems
Steele C. Butcher, Benjamin Essayagh, Ewout W. Steyerberg, Giovanni Benfari, Clemence Antoine, Francesco Grigioni, Thierry Le Tourneau, Jean-Christian Roussel, Aniek van Wijngaarden, Nina Ajmone Marsan, Christophe Tribouilloy, Dan Rusinaru, Aviram Hochstadt, Yan Topilsky, Hector Michelena, Victoria Delgado, Jeroen J. Bax, Maurice Enriquez-Sarano
Summary: This study examined the impact of secondary outcome determinants on post-operative survival in patients with degenerative mitral regurgitation (DMR) and found that the number of these determinants was independently associated with increased mortality after surgery, providing better outcome discrimination than traditional indications for surgery.
EUROPEAN HEART JOURNAL
(2023)
Review
Health Care Sciences & Services
Mohammed T. Hudda, Lucinda Archer, Maarten van Smeden, Karel G. M. Moons, Gary S. Collins, Ewout W. Steyerberg, Charlotte Wahlich, Johannes B. Reitsma, Richard D. Riley, Ben Van Calster, Laure Wynants
Summary: The study aims to assess the improvement in reporting completeness of COVID-19 prediction models after peer review. The findings suggest that the reporting quality of preprints is poor and did not improve significantly after peer review, indicating that peer review had minimal effect on the completeness of reporting during the COVID-19 pandemic.
JOURNAL OF CLINICAL EPIDEMIOLOGY
(2023)
Article
Multidisciplinary Sciences
Jesus Villar, Jesus M. Gonzalez-Martin, Jose M. Anon, Carlos Ferrando, Juan A. Soler, Fernando Mosteiro, Juan M. Mora-Ordonez, Alfonso Ambros, Lorena Fernandez, Raquel Montiel, Anxela Vidal, Tomas Munoz, Lina Perez-Mendez, Pedro Rodriguez-Suarez, Cristina Fernandez, Rosa L. L. Fernandez, Tamas Szakmany, Karen E. A. Burns, Ewout W. Steyerberg, Arthur S. Slutsky
Summary: Mortality assessment in clinical studies of acute respiratory distress syndrome (ARDS) has not been well-defined. This study aimed to determine the timing of mortality assessment in ICU patients with moderate-to-severe ARDS, and its predictive value for treatment response. Observational cohorts and a randomized trial were analyzed, and it was found that ICU mortality rates closely approximated 28-day mortality rates. ICU mortality assessment within the first week of a trial could serve as an early predictor of treatment response for moderate-to-severe ARDS patients.
SCIENTIFIC REPORTS
(2023)
Article
Health Care Sciences & Services
Siri L. van der Meijden, Anne A. H. de Hond, Patrick J. Thoral, Ewout W. Steyerberg, Ilse M. J. Kant, Giovanni Cina, M. Sesmu Arbous
Summary: This study aimed to investigate physicians' perspectives and decision-making behavior before implementing an AI-CDS tool for predicting readmission and mortality risk after ICU discharge. The survey results showed that most physicians had positive attitudes towards AI and AI-CDS tools, believing that they could support their work. Physicians expressed a willingness to incorporate a discharge AI-CDS tool into their daily clinical practice and recognized its value in their workflows.
JMIR HUMAN FACTORS
(2023)
Correction
Critical Care Medicine
Emanuele Rezoagli, Matteo Petrosino, Paola Rebora, David Menon, Stefania Mondello, D. James Cooper, Andrew I. R. Maas, Eveline J. A. Wiegers, Stefania Galimberti, Giuseppe Citerio, Cecilia Ackerlund, Krisztina Amrein, Nada Andelic, Lasse Andreassen, Audny Anke, Gerard Audibert, Philippe Azouvi, Maria Luisa Azzolini, Ronald Bartels, Ronny Beer, Bo-Michael Bellander, Habib Benali, Maurizio Berardino, Luigi Beretta, Erta Beqiri, Morten Blaabjerg, Stine Borgen Lund, Camilla Brorsson, Andras M. Buki, Manuel Cabeleira, Alessio Caccioppola, Emiliana Calappi, Maria Rosa Calvi, Peter Cameron, Guillermo Carbayo Lozano, Marco Carbonara, Ana D. Castano-Leon, Simona Cavallo, Giorgio Chevallard, Arturo Chieregato, Hans Clusmann, Mark Steven Coburn, Jonathan Coles, Jamie Cooper, Marta Correia, Endre Czeiter, Marek Czosnyka, Claire Dahyot-Fizelier, Paul Dark, Veronique Keyser, Vincent Degos, Francesco Della Corte, Hugo Boogert, Bart Depreitere, Dula Dilvesi, Abhishek Dixit, Jens Dreier, Guy-Loup Duliere, Ari Ercole, Erzsebet Ezer, Martin Fabricius, Kelly Foks, Shirin A. Frisvold, Alex Furmanov, Damien Galanaud, Dashiell Gantner, Alexandre Ghuysen, Lelde Giga, Jagos Golubovic, Pedro Gomez, Benjamin J. Gravesteijn, Francesca Grossi, Deepak Gupta, Iain Haitsma, Raimund G. Helbok, Eirik Helseth, Jilske Huijben, Peter Hutchinson, Stefan Jankowski, Faye Johnson, Mladen Karan, Angelos Kolias, Daniel Kondziella, Evgenios Kornaropoulos, Lars-Owe Koskinen, Noemi Kovacs, Ana Kowark, Alfonso Lagares, Steven Laureys, Aurelie Lejeune, Fiona Lecky, Didier Ledoux, Roger Lightfoot, Hester Lingsma, Alex Manara, Hugues Marechal, Costanza Martino, Julia Mattern, Catherine McMahon, Tomas Menovsky, Benoit Misset, Visakh Muraleedharan, Lynnette Murray, Ancuta Negru, David Nelson, Virginia Newcombe, Jozsef Nyiradi, Fabrizio Ortolano, Jean-Francois Payen, Vincent Perlbarg, Paolo P. Persona, Wilco Peul, Anna Piippo-Karjalainen, Horia Ples, Inigo Pomposo, Jussi Posti, Louis Puybasset, Andreea Radoi, Arminas Ragauskas, Rahul Raj, Jonathan Rhodes, Sophie Richter, Saulius Rocka, Cecilie Roe, Olav Roise, Jeffrey Rosenfeld, Christina Rosenlund, Guy Rosenthal, Rolf Rossaint, Sandra Rossi, Juan Sahuquillo, Oliver Sakowitz, Renan Sanchez-Porras, Oddrun Sandrod, Kari Schirmer-Mikalsen, Rico Frederik W. Schou, Charlie Sewalt, Peter Smielewski, Abayomi Sorinola, Emmanuel Stamatakis, Ewout Steyerberg, Nino Stocchetti, Nina Sundstroem, Riikka Takala, Viktoria Tamas, Tomas Tamosuitis, Olli Tenovuo, Matt Thomas, Dick Tibboel, Christos Tolias, Tony Trapani, Cristina Maria Tudora, Andreas Unterberg, Peter Vajkoczy, Egils A. Valeinis, Shirley Vallance, Zoltan Vamos, Gregory Steen, T. J. M. van Dijck Jeroen, Thomas Essen, Roel Wijk, Alessia Vargiolu, Emmanuel Vega, Anne Vik, Rimantas Vilcinis, Victor Volovici, Peter Vulekovic, Eveline A. Wiegers, Guy Williams, Stefan Winzeck, Stefan Wolf, Alexander Younsi, Frederick Zeiler, Agate Ziverte, Tommaso V. Zoerle, Russel Gruen, Lynette Murray, Dinesh Varma, Christopher MacIsaac, Andrea Jordan
INTENSIVE CARE MEDICINE
(2023)
Article
Mathematical & Computational Biology
Doranne Thomassen, Ewout Steyerberg, Saskia le Cessie
Summary: In clinical practice, it is crucial to determine the absolute risk reduction of treatment for individual patients. However, logistic regression in trials with binary outcomes provides estimates of treatment effects in terms of log odds differences. In this study, we propose a new Bayesian regression model for binary outcomes on the additive risk scale, allowing for direct estimation of treatment effects on the linear scale of clinical interest. Comparisons were made with a previously proposed additive risk model and backtransforming predictions from a logistic model. Results showed that modelling untransformed risk can yield significantly different treatment effect estimates, particularly for small sample sizes or extreme predicted risks close to 0% or 100%. Our proposed model proved to be more sensitive in detecting all information in the data in a network meta-analysis.
STATISTICS IN MEDICINE
(2023)
Article
Medicine, General & Internal
Nicole von Steinbuechel, Stefanie Hahm, Holger Muehlan, Juan Carlos Arango-Lasprilla, Fabian Bockhop, Amra Covic, Silke W. Schmidt, Ewout Steyerberg, Andrew I. R. Maas, David Menon, Nada Andelic, Marina Zeldovich, CTR TBI Participants Investigators
Summary: Traumatic brain injury (TBI) is a major cause of death and disability worldwide. This study aims to understand the impact of TBI on various outcome domains, evaluating factors contributing to worsening or improving outcomes. The study used patient-reported outcome measures and identified different trajectory classes for outcome after TBI, including stable good health, persistent impairments, improving health, and deteriorating health. Individuals with persistent impairments and deterioration need special attention and long-term clinical monitoring and therapy.
JOURNAL OF CLINICAL MEDICINE
(2023)
Article
Health Care Sciences & Services
Alexandros Rekkas, David van Klaveren, Patrick B. Ryan, Ewout W. Steyerberg, David M. Kent, Peter R. Rijnbeek
Summary: This study proposes a standardized scalable framework to extend the assessment of treatment effect heterogeneity to the observational setting. The framework consists of five steps: definition of research aim, identification of relevant databases, development of prediction model, estimation of treatment effect within risk strata, and presentation of results. It allows for the evaluation of differential treatment effects across risk strata.
NPJ DIGITAL MEDICINE
(2023)
Article
Health Care Sciences & Services
Anne A. H. de Hond, Vaibhavi B. B. Shah, Ilse M. J. Kant, Ben Van Calster, Ewout W. Steyerberg, Tina Hernandez-Boussard
Summary: The generalizability of predictive algorithms is crucial for their application in clinical practice. This article provides an overview of three types of generalizability, namely temporal, geographical, and domain generalizability, based on existing literature. These types of generalizability are associated with their respective goals, methodology, and stakeholders.
NPJ DIGITAL MEDICINE
(2023)
Article
Health Care Sciences & Services
Shubhayu Bhattacharyay, Pier Francesco Caruso, Cecilia Akerlund, Lindsay D. Wilson, Robert K. Stevens, David W. Menon, Ewout W. Steyerberg, David Nelson, Ari Ercole, CENTER TBI Investigators Participants
Summary: Existing methods to characterise the evolving condition of traumatic brain injury (TBI) patients in the intensive care unit (ICU) do not capture the necessary context for individualising treatment. In this study, the integration of heterogenous data from medical records was used to model the individualised impact of clinical course on 6-month functional outcome. The study showed that static variables accounted for the majority of functional outcome explanation after TBI.
NPJ DIGITAL MEDICINE
(2023)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Siri Lise van der Meijden, Anna van Boekel, Laurens Schinkelshoek, Harry van Goor, Mark de Boer, Ewout Steyerberg, Bart Geerts, Sesmu Arbous
Summary: Currently, postoperative infections are identified through manual chart review. In this study, a validated automated labeling method based on registrations and treatments was used to develop a high-quality prediction model (AUC 0.81) for postoperative infections.
CARING IS SHARING-EXPLOITING THE VALUE IN DATA FOR HEALTH AND INNOVATION-PROCEEDINGS OF MIE 2023
(2023)
