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Self-Reported Resilience During the COVID-19 Pandemic
Ogungbe, Oluwabunmi , Wang, Tianyou , Meyer, Diane , Stukovsky, Karen Hinckley , Kucharska‐Newton, Anna , Gabriel, Kelley Pettee , Regan, Elizabeth A., Talavera, Gregory, Sims, Mario , Contreras, Jose Gutierrez, Kandula, Namratha R. , Lee, Joyce , Woodruff, Prescott G. , Ortega, Victor E. , Fretts, Amanda M. , Putcha, Nirupama , Hansel, Nadia N. , Oelsner, Elizabeth C. , Oelsner, Elizabeth C , Kucharska-Newton, Anna M , Lee, Joyce S , Balte, Pallavi , Slone, Sarah , Allen, Norrina B. , Buhr, Russell G. , Hirsch, Jana A. , Xanthakis, Vanessa , Isasi, Carmen R. , Daviglus, Martha , Perreira, Krista M. , Contreras, Jose Gutierrez, Howard, Virginia J. , Judd, Suzanne E. , Wenzel, Sally E. , Phipatanakul, Wanda , Post, Wendy S.

JAMA Network Open | July 16, 2025 | Volume: 8 | Issue: 7 | Pages: e2520360

10.1001/jamanetworkopen.2025.20360 | PMID 40668582 Get It

ImportanceIdentifying factors associated with resilience during the COVID-19 pandemic can inform targeted interventions and resource allocation for groups disproportionately affected by systemic inequities.ObjectiveTo examine factors associated with self-reported resilience during the COVID-19 pandemic in racially and ethnically diverse, community-dwelling US adults.Design, Setting, and ParticipantsThis cross-sectional study was conducted as part of the Collaborative Cohort of Cohorts for COVID-19 Research (C4R) study, which assessed the associations of the pandemic with self-reported resilience of participants from 14 established US prospective cohorts since January 2021. This report includes participants who responded to the self-reported resilience question on C4R questionnaires. Data was initially analyzed from October 2023 to May 2024, with updated analyses performed from August 2024 to April 2025.ExposureRace and ethnicity, behavior factors, health conditions, and social determinants of health measurements accessed before and during the COVID-19 pandemic through cohort visits and C4R questionnaires.Main Outcomes and MeasuresSelf-reported resilience was collected via 1 question (from the Brief Resilience Scale) in C4R questionnaires, “I tend to bounce back quickly after hard times.” Participants who answered agree or strongly agree were classified as resilient, and those who reported neutral, disagree, or strongly disagree were classified as not resilient. Modified Poisson regression was performed to estimate prevalence ratios (PRs) and access multivariable-adjusted associations with resilience.ResultsOf 31 045 participants (18 672 [60%] women; 10 746 [34.6%] aged <65 years), 1185 (3.8%) identified as American Indian, 6728 (21.7%) as Black, 293 (0.9%) as East Asian, 6311 (20.3%) as Hispanic, 565 (1.8%) as South Asian, and 15 961 (51.3%) as White; a total of 23 103 participants (74.4%) self-identified as resilient. Compared with White participants, Black and Hispanic participants had higher prevalence of self-reported resilience (adjusted PR [aPR], 1.04; 95% CI, 1.02-1.06; aPR, 1.08; 95% CI, 1.06-1.11; respectively) and American Indian and East Asian participants had lower prevalence (aPR, 0.90; 95% CI, 0.86-0.94; aPR, 0.76; 95% CI, 0.68-0.84; respectively). Higher education, being married or living as married, higher income, and overweight were also associated with higher prevalence of resilience. Being female, having diabetes, and being unemployed were associated with lower prevalence of self-reported resilience. Compared with participants with public insurance only, participants with private insurance had higher prevalence of resilience (aPR, 1.07; 95% CI, 1.03-1.10). COVID-19 vaccination and infection statuses were not significantly associated with resilience. Modification analyses showed important racial and ethnic differences in how factors such as hypertension, marital status, and insurance status were associated with resilience.Conclusions and RelevanceIn this cross-sectional study of 31 045 adults, self-reported resilience varied by race, ethnicity, and sociodemographic factors. These findings highlight the complex interplay of individual and social factors in shaping the perception of resilience.
Minimal Clinically Important Difference and Relative Change in Patient-Reported Outcomes After Surgery for Cervical Spondylotic Myelopathy: A Nationwide Study of 1,700 Patients
El-Hajj, Victor Gabriel , Staartjes, Victor E. , Atallah, Elias , Babaei, Darius, Bydon, Mohamad , Elmi‐Terander, Adrian , Elmi-Terander, Adrian , El-Hajj, Victor Gabriel , Staartjes, Victor E , Klukowska, Anita Maria , Gerdhem, Paul , Edström, Erik

Neurosurgery | July 10, 2025 | Volume: 98 | Issue: 2 | Pages: 358-364

10.1227/neu.0000000000003596 | PMID 40637438 Get It

BACKGROUND AND OBJECTIVES: Healthcare policies have seen significant reforms, with a marked transition toward a patient-centered approach. This shift emphasizes the use of subjective patient-reported outcome measures as key metrics. However, these measures often face limitations, particularly in identifying clinically meaningful changes over time. To address this challenge, the concept of the minimal clinically important difference (MCID) was introduced. This study aims to evaluate the predictive effectiveness of relative change and its associated threshold, the minimal clinically important relative change (MCIRC), as a potential alternative to absolute differences and the MCID. METHODS: Data prospectively collected between 2006 and 2021 from the Swedish Spine Registry (Swespine) were analyzed. Patient-reported outcome measures included the Numeric Rating Scale (NRS) for neck and arm pain, the EQ5D index, EQ VAS, and the Neck Disability Index (NDI). Anchor-based methods were used to calculate the MCID and MCIRC. The predictive performance of absolute differences and relative changes was compared using the area under the receiver operating characteristic curve. RESULTS: 1756 patients were included. The selected MCID values were −3 for NRS neck pain intensity, −2 for arm pain intensity, 0.09 for the EQ5D index, 7 for EQ VAS, and −12 for NDI scores. For MCIRC, the chosen values were −47% for NRS neck pain intensity, −40% for arm pain intensity, 386% for the EQ5D index, 52% for EQ VAS, and −32% for NDI scores. On area under the ROC curve, relative change was superior for NRS neck and arm pain scores and NDI, while absolute difference was superior for EQ5D and EQ VAS scores. CONCLUSION: Relative change, along with its associated minimal clinically important value (MCIRC), proved to be a more suitable indicator of subjective satisfaction for NRS and NDI scores. By contrast, absolute differences and the MCID were better suited for evaluating the EQ5D index and EQ VAS scores.
Socioeconomic and lifestyle factors associated with chronic musculoskeletal disorders in Brazil: a network analysis of a population-based study involving 87,648 Brazilian adults
Oliveira, Arão Belitardo , Woldeamanuel, Yohannes W. , Kubota, Gabriel Taricani , Delgado, P. Benedicto , Pelicer, Yane C. , Partamian, Kriscia , Pereira, Larissa Karen, Welch, Madeline, Touche, Roy La , Reina‐Varona, Álvaro , Bond, Dale S. , Goulart, Alessandra C. , Woldeamanuel, Yohannes Woubishet , Delgado, Priscilla B , Benseñor, Isabela M , Benseñor, Isabela M.

Therapeutic Advances in Chronic Disease | July 5, 2025 | Volume: 16 | Issue: No issue available | Pages: No page available

10.1177/20406223251350884 | PMID 40599678 Get It

Background: Musculoskeletal disorders (MSKDs) are the leading cause of disability worldwide. The associations between socioeconomic and lifestyle factors and MSKDs have been widely studied in Europe and North America. However, little data are available about their relationship in Latin America. Objectives: To estimate the prevalence of chronic MSKDs in Brazil and assess their relationship with socioeconomic and lifestyle factors. Design: This is a cross-sectional study, based on a subanalysis of the open-access database from the Brazilian National Health Survey 2019. This survey was a nationwide, cross-sectional, door-to-door study that included 87,648 adults and was conducted between 2019 and 2020. Methods: Prevalence estimates were based on weighted sample strata, and the relationship between MSKD and socioeconomic and lifestyle factors was examined through network analysis and weighted Poisson regression models with robust variance. Results: The weighted prevalence of chronic MSKDs was estimated at 26.1% (95% confidence interval, 25.5%–26.8%). In the network analysis, including all socioeconomic and lifestyle variables, MSKDs prevalence was notably linked to higher body mass index, drinking, smoking, and low income. In the regression models, MSKD prevalence was associated with obesity, sleep disorders, smoking, alcohol consumption, and depression, and inversely associated with physical activity, even after controlling for the sociodemographic disparities. Conclusion: This study identifies specific socioeconomic and lifestyle factors associated with MSKDs and highlights the need for immediate national health promotion programs focused on MSKDs prevention through targeted lifestyle modifications, especially in populations belonging to the lower-income strata in Brazil.
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
Janas, Anastasia , Baid, Ujjwal , Ramakrishnan, Divya , Saluja, Rachit , Ashraf, Nader, Maleki, Nazanin , Yordanov, Nikolay , Fehringer, Pascal, Gkampenis, Athanasios , Amiruddin, Raisa, Adewole, Maruf , Albrecht, Jake, Anazodo, Udunna, Anwar, Syed Muhammad, Bergquist, Timothy , Chiang, Veronica , Eddy, J. Mark , Ezhov, Ivan , Khalili, Nastaran, Jiang, Zhifan , Johanson, Elaine, Kazerooni, Anahita Fathi , Krantchev, Kiril, Linguraru, Marius George , Liu, Xinyang , Meier, Zeke, Moy, Harrison, Osenberg, Klara , Reitman, Zachary, Shinohara, Russell Takeshi, Wang, Chunhao , Shafique, Umber, Willms, Klara, Avesta, Arman , Bousabarah, Khaled , Chakrabarty, Satrajit , Gennaro, Nicolò , Holler, Wolfgang, Lost, Jan , Marcus, Daniel S. , Maresca, R, Merkaj, Sarah, Pedersen, Gabriel Cassinelli, Reppert, Marc von , Teytelboym, Oleg M., Tillmans, Niklas, Westerhoff, Malte , Youssef, Ayda , Pflüger, Irada, Perez-Carillo, Gloria J. Guzman, Memon, Fatima, Krycia, Mark, Patro, Satya Narayana , Petrović, Bojan , Schrickel, E. Brooke, Besada, Cristina , Chu, Sammy, Dusoi, Alexandru, Farage, Luciano , Fong, Amy, Gray, R. Ian, Krumpelman, Chase, Lincoln, Christie M. , Maros, Máté E. , Morón, Fanny , Nimchinsky, Esther A. , Patel, Uresh, Rohatgi, Saurabh , Sayah, Anousheh , Schwartz, Eric D. , Shiroishi, Mark S. , Valerie, Jewels, White, Matthew L. , Zohrabian, Vahe M. , Brüßeler, Melanie, Ghonim, Mohamed, Okar, Abdullah , Pasquini, L. , Soumala, Theodora, Taherzadeh, Mahsa , Vollmuth, Philipp, Foltyn, Martha , Abayazeed, Aly, Dellepiane, Francesco , Verdier, Maria Correia de , Al-Rubaiey, Sanaria, Ashraf, Kholod, Asla, Moamen M., Badawy, Mohamed , Lomer, Nima Broomand , Bukatz, Jan, Chen, Jim, Cimflová, Petra , Corr, Felix, Crawley, Alexis, Deptula, Lisa, Elakhdar, Tasneem, Shawali, Islam H., Frick, Alexandra, Haider, Muhammad Ammar , Hierro, Fátima , Jacobs, Sarah Maria, Hsieh, Kuang-chun Jim, Kersting, Katharina , Kida, Laura, Kollia, Sofia , Koukoulithras, Ioannis, Li, Xiao , Abouelatta, Ahmed, Mansour, Aya, Maria-Zamfirescu, Ruxandra-Catrinel, Marsiglia, Marcela , Mateo-Camacho, Yohana Sarahi , McArthur, Mark J., McDonnell, Olivia, McHugh, M, Moassefi, Mana , Morsi, Samah Mostafa, Munteanu, Alexander , Naqvi, Syed Raza, Nikanpour, Yalda , Alnoury, Mostafa , Nouh, Abdullah Mohamed Aly, Pappafava, Francesca, Patel, Markand D., Petrucci, S. , Rawie, Eric, Raymond, Scott B. , Roohani, Borna, Sabouhi, Sadeq, Sánchez‐García, Laura , Shaked, Zoe , Altes, Talissa A. , Isufi, Edvin , Dhemesh, Yaseen , Gass, Jaime, Thacker, Jonathan, Tarabishy, Abdul , Turner, Benjamin , Worede, Fikadu , Yousry, Sara, Lerebo, Wondwossen , Aristizábal, Alejandro , Karargyris, Alexandros , Kassem, Hasan , Sheller, Micah , Link, Katherine E. , Moawad, Ahmed W. , Ashraf, Nader, Jekel, Leon , Manteghinejad, Amirreza , Aneja, Sanjay , Anwar, Syed Muhammad, Chung, Verena , Conte, Gian Marco , Dako, Farouk , Eddy, James, Khalili, Nastaran, Farahani, Keyvan , Iglesias, Juan Eugenio , Kofler, Florian , LaBella, Dominic , Leemput, Koen Van , Li, Hongwei , Meier, Zeke, Menze, Bjoern H. , Piraud, Marie , Shinohara, Russell Taki , Wiestler, Benedikt , Wiggins, Walter F. , Kaur, Manpreet , LaMontagne, Pamela , Lin, MingDe , Maresca, Ryan, Petersen, Gabriel Cassinelli , Sotiras, Aristeidis , Godfrey, Devon , Floyd, Scott , Rauschecker, Andreas M. , Villanueva-Meyer, Javier E. , Cho, Jaeyoung , Bendszus, Martin , Brugnara, Gianluca , Cramer, Justin , Johnson, Derek R. , Kam, Anthony , Kwan, Benjamin Y. M. , Lai, Lillian M. , Lall, Neil , So, Tiffany Y. , Thompson, Gerard , Wu, Lei , Bansal, Anu , Barkhof, Frederik , Druzgal, T. Jason , Feltrin, Fabrício Stewan , Fung, Steve H. , Ikuta, Ichiro , Iv, Michael , Postma, Alida A. , Mahajan, Amit Kumar , Joyner, David , Létourneau‐Guillon, Laurent , Miller, Elka , Özsarlak, Ö. , Saha, Atin , Shih, Robert , Small, Juan E. , Tanwar, Manoj , Weinberg, Brent D. , Young, Robert J. , Azizova, Aynur , Ghonim, Mohanad , Ghonim, Mohamed, Sharifi, Yasaman , Singh, Gagandeep, Sollmann, Nico , Vollmuth, Philipp, Foltyn‐Dumitru, Martha , Malhotra, Ajay , Lohmann, Philipp , Pérez‐García, Víctor M. , Elhalawani, Hesham M. , Duarte Armindo, Rui , Asla, Moamen M., Bisschop, Jeroen , Faghani, Shahriar , Gulati, Vaibhav , Dahl, Rasmus Holmboe , McArthur, Mark, McHugh, Maire, Moassefi, Mana , Nandolia, Khanak , Petrucci, Samantha, Sanchez-Garcia, Laura M., Suthar, Pokhraj Prakashchandra , Vacca, Sebastiano , Vilanilam, George K. , Warren, Daniel, Weiss, David, Pati, Sarthak , Calabrese, Evan , Tahon, Nourel Hoda , Nada, Ayman , Velichko, Yury , Bakas, Spyridon , Rudie, Jeffrey D. , Aboian, Mariam

Machine Learning for Biomedical Imaging | June 26, 2025 | Volume: 3 | Issue: December 2025 | Pages: 204-247

10.59275/j.melba.2025-9bd3 Get It

The translation of AI-generated brain metastases (BM) segmentation into clinical practice relies heavily on diverse, high-quality annotated medical imaging datasets. The BraTS-METS 2023 challenge has gained momentum for testing and benchmarking algorithms using rigorously annotated internationally compiled real-world datasets. This study presents the results of the segmentation challenge and characterizes the challenging cases that impacted the performance of the winning algorithms. Untreated brain metastases on standard anatomic MRI sequences (T1, T2, FLAIR, T1PG) from eight contributed international datasets were annotated in stepwise method: published UNET algorithms, student, neuroradiologist, final approver neuroradiologist. Segmentations were ranked based on lesion-wise Dice and Hausdorff distance (HD95) scores. False positives (FP) and false negatives (FN) were rigorously penalized, receiving a score of 0 for Dice and a fixed penalty of 374 for HD95. The mean scores for the teams were calculated. Eight datasets comprising 1303 studies were annotated, with 402 studies (3076 lesions) released on Synapse as publicly available datasets to challenge competitors. Additionally, 31 studies (139 lesions) were held out for validation, and 59 studies (218 lesions) were used for testing. Segmentation accuracy was measured as rank across subjects, with the winning team achieving a LesionWise mean score of 7.9. The Dice score for the winning team was 0.65 ± 0.25. Common errors among the leading teams included false negatives for small lesions and misregistration of masks in space. The Dice scores and lesion detection rates of all algorithms diminished with decreasing tumor size, particularly for tumors smaller than 100 mm3. In conclusion, algorithms for BM segmentation require further refinement to balance high sensitivity in lesion detection with the minimization of false positives and negatives. The BraTS-METS 2023 challenge successfully curated well- annotated, diverse datasets and identified common errors, facilitating the translation of BM segmentation across varied environments and providing the tools for future development of personalized volumetric reports to patients undergoing BM treatment.
Comprehensive Genomic Profiling of Sinonasal Carcinomas: Identification of Common Mutations and Potential Targets for Therapy
Bitar, Gabriel , Hsia, Beau , Alshaka, Saif, Kim, Jeeho D. , Levy, Michael L. , Valencia, Bastien A. , Hsia, Beau , Sato, Mariko , Crawford, John Ross , Polster, Sean P. , Patel, Vijay A.

Journal of Neurological Surgery Part B: Skull Base | June 18, 2025 | Volume: 87 | Issue: 03 | Pages: 337-344

10.1055/a-2639-5790 | PMID 42095034 Get It

Abstract Sinonasal cancers are malignant neoplasms arising from the nasal cavity and paranasal sinuses, including squamous cell carcinoma (SCC), adenocarcinoma, and undifferentiated carcinoma. Due to their rarity, comprehensive genomic data remain limited. Treatments include surgery, radiation, and chemotherapy, with ongoing trials investigating agents like cetuximab, cisplatin, and Tazemetostat. We analyzed sinonasal cancer cases from the American Association for Cancer Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) database via cBioPortal (v16.1-public, accessed July 22, 2024). Common gene mutations, correlations, and mutual exclusivities were assessed using statistical analyses with false discovery rate correction. Of 2,595 head and neck cancer samples, 122 (4.7%) were sinonasal carcinoma: 70 (57.4%) SCC, 31 (25.4%) undifferentiated carcinoma, and 21 (17.2%) adenocarcinomas. The most frequent mutations were TP53 (tumor protein 53; 40%), PIK3CA (phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic subunit alpha; 14%), KMT2D (lysine methyltransferase 2D; 11%), and CDKN2A (cyclin-dependent kinase inhibitor 2A; 9%). Subtype-specific mutations included IDH2 (isocitrate dehydrogenase; 230%) in undifferentiated carcinoma and FAT1 (15%) in adenocarcinoma. TP53 frequently co-occurred with PRKDC (protein kinase, DNA-activated, catalytic subunit; p = 0.020), while KMT2D co-occurred with PIK3CA (p = 0.018). TP53, PIK3CA, and KMT2D mutations are prevalent in sinonasal carcinoma, highlighting potential targets for therapy. Tazemetostat, targeting KMT2D-related DNA (deoxyribonucleic acid) methylation, and cetuximab, targeting the PIK3CA signaling cascade, may offer therapeutic benefits. Further research on mutation-specific therapies could improve treatment strategies.
Molecular Profiling of Olfactory Neuroblastoma Using the AACR Project GENIE Database
Hsia, Beau , Dongre, Roshan , Erquizi, Aya, Guerra-Navarro, Paula V., Bitar, Gabriel , Alshaka, Saif, Kim, Jeeho D. , Valencia-Sanchez, Bastien A., Levy, Michael L. , Hsia, Beau , Guerra-Navarro, Paula Valeria, Valencia-Sanchez, Bastien A., Brandel, Michael G. , Sato, Mariko , Crawford, John Ross , Patel, Vijay A. , Polster, Sean P.

Journal of Neurological Surgery Part B: Skull Base | June 18, 2025 | Volume: 87 | Issue: 03 | Pages: 330-336

10.1055/a-2639-5690 | PMID 42095028 Get It

Abstract Olfactory neuroblastoma (ONB) is a rare head and neck cancer arising from the upper nasal cavity, with limited systemic therapeutic options due to a poor understanding of its genomic landscape. This study aims to utilize a patient-level genomic repository to identify potential therapeutic targets and improve disease modeling in ONB. Retrospective genomic analysis. Data analysis was performed using the American Association for Cancer Research (AACR) Project Genomics Evidence Neoplasia Information Exchange (GENIE) database. Patients with confirmed ONB who have undergone targeted sequencing within GENIE. Data were analyzed for recurrent somatic mutations, along with their clinical and demographic correlations, with significance set at p < 0.05. A high prevalence of mutations in TP53 (tumor protein p53) and FRK (fibroblast growth factor receptor kinase) genes was identified. A moderate prevalence of mutations in NOTCH3 (notch receptor 3), SMARCA4 (SWI/SNF related, matrix associated, actin dependent regulator of chromatin, subfamily A, member 4), RET (rearranged during transfection), and CTCF (CCCTC-binding factor) was also identified. The mutation patterns differed between pediatric and adult ONB cases. Specific mutations were enriched in metastatic tumors compared with primary tumors. This study provides a genomic profile for ONB, identifying key mutations and potential therapeutic targets. The identification of frequently mutated genes like TP53 and FRK suggests potential targets for novel therapies. The observation that certain genes are mutated in pediatric ONB but not adult ONB (and vice versa), and the presence of specific mutations in metastatic tumors that are absent in primary tumors, offers valuable insights for future precision medicine and the design of targeted therapeutic interventions for these distinct clinical presentations.
Frequency and Clinical Outcomes Associated With Tau Positron Emission Tomography Positivity
Raghavan, Sheelakumari, Costoya‐Sánchez, Alejandro , Mainta, Ismini , Rodríguez-Fonseca, Omar Darío, Perissinotti, Andrés , Gu, Yuna , Yun, Jihwan, Peretti, Débora Elisa , Aguiar, Pablo , Bischof, Gérard N. , Seo, Sang Won , Villeneuve, Sylvia , O’Brien, John T. , Jagust, William, Frisoni, Giovanni B. , Soleimani‐Meigooni, David N. , Carrillo, Marı́a C., Joie, Renaud La , Rabinovici, Gil D. , Apostolova, Liana G. , Pontecorvo, Michael J. , Johnson, Keith A. , Weiner, Michael W. , Petersen, Ronald C., Jack, Clifford R. , Schöll, Michael , Labonté, Anne , Faubert, Anne‐Marie, Mathieu, Axel, Madjar, Cécile , Carrier, Charles Edouard, Kazazian, Christina, Lepage, Claude, Maillet, David , Michaud, Diane, Couture, Doris, Dea, Doris, Courcot, Blandine, Debacker, Clément , Fontaine, David, Knopman, David S. , Multhaup, Gerhard, Maltais, Jean‐Robert, Breitner, John C.S. , Poirier, Judes, Cheewakriengkrai, Laksanun, Sager, Mark A., Dauar‐Tedeschi, Marina, Rajah, Natasha, Aisen, Paul, Toussaint, Paule‐Joanne , Pierre, Bellec, Kostopoulos, Penelope, Étienne, Pierre , Tariot, Pierre N. , Orban, Pierre , Hoge, Rick, Thomas, Ronald J. , Gauthier, Serge , Craft, Suzanne , Montine, Thomas J. , Nair, Vasavan, Bohbot, Véronique D. , Venugopalan, Vinod, Ituria‐Medina, Yasser, Khachaturian, Zaven S., Teigner, Eduard, Anthal, Elena, Yu, Elsa, Ferdinand, Fabiola, Pogossova, Galina, Mayrand, Ginette, Duclair, Guerda, Gagné, Guylaine, Newbold‐Fox, Holly, Leppert, Illana, Tremblay‐Mercier, Jennifer , Frenette, Joanne, Frappier, Josée, Kat, Justin, Miron, Justin , Wan, Karen, Mahar, Laura, Carmo, Leopoldina, Théroux, Louise, Dufour, Marianne, Lafaille‐Magnan, Marie‐Élyse, Savard, Mélissa, Tuwaig, Miranda, Petkova, Mirela, Rioux, Pierre, Meyer, P.T., El‐Khoury, Rana, Gordon, Renee, Giles, Renuka, Das, Samir, Wang, Seqian, Tabrizi, Shirin , Mathotaarachchi, Sulantha , Dubuc, Sylvie, Lee, Tanya , Beaudry, Thomas, Gervais, Valérie, Pagé, Véronique, Desautels, René, Benbouhoud, Fatiha, Saint‐Fort, Eunice Farah, Verfaillie, Sander C.J. , Farzin, Sarah , Salaciak, Alyssa , Tullo, Stéphanie , Daoust, Leslie‐Ann, Köbe, Theresa , McSweeney, Melissa, Nilsson, Nathalie , Pishnamazi, Morteza, Bedetti, Christophe , Hudon, Louise, Greco, Claudia, Chapleau, Marianne , St‐Onge, Frédéric , Boutin, Sophie , Geddes, Maiya R. , Ducharme, Simon , Jean, Gabriel, Sylvain, Elisabeth, Élie, Marie‐Josee, Leblond‐Baccichet, Gloria, Soucy, Jean‐Paul , Ozlen, Hazal , Bailly, Julie, Mohammediyan, Béry, Chen, Yalin , Remz, Jordana, Rentz, Dorene M., Amariglio, Rebecca E. , Blacker, Deborah , Chhatwal, Jasmeer P. , Dickerson, Brad C., Donovan, Nancy J. , Farrell, Michelle E. , Gómez, Cristina Lois, Marshall, Gad A. , Oaoo, Kate, Price, Julie, Prokopiou, Prokopis C. , Reynolds, Gretchen , Skylar-Scott, Irina A., Vila‐Castelar, Clara , Yang, Hyun‐Sik , Trojanowki, John Q., Green, Robert C, Perrin, Richard J. , Shaw, Leslie M. , Potter, William Z. , Bernard, Marie , Jackson, Jonathan, Masliah, Eliezer , Masterman, Donna, Okonkwo, Ozioma, Ryan, Laurie, Silverberg, Nina, Fleisher, Adam , Fockler, Juliet , Conti, Cat, Jin, Chengshi , Nosheny, Rachel L. , Ashford, Mariam, Flenniken, Derek , Kormos, Adrienne, Montine, Tom, Rafii, Michael, Raman, Rema , Gessert, Devon, Salazar, Jennifer, Zimmerman, Caileigh, Cabrera, Yuliana, Walter, Sarah , Miller, Garrett, Coker, Godfrey, Clanton, Taylor, Hergesheimer, Lindsey, Smith, Stephanie , Adegoke, Olusegun, Mahboubi, Payam, Moore, Shelley, Pizzola, Jeremy, Shaffer, Elizabeth , Harvey, Danielle, Forghanian-Arani, Arvin, Borowski, Bret, Ward, Chad, Gunter, Jeff, Kantarci, Kejal, Thompson, Paul , Jahanshad, Neda , DeCarli, Charles , Knaack, Alexander , Fletcher, Evan, Chen, Stephanie R, Choe, Mark, Crawford, Karen , Yuschkevich, Paul A, Reiman, Eric M. , Mathis, Chet, Landau, Susan , Cairns, Nigel J. , Householder, Erin, Franklin, Erin , Bernhardt, Haley, Taylor‐Reinwald, Lisa, Korecka, Magdalena , Figurski, Michal, Neu, Scott, Nho, Kwangsik, Foroud, Tatiana M., Faber, Kelley , Wilmes, Kristi, Thal, Leon J., Dage, Jeffrey L. , Eloyan, Ani , Hammers, Dustin B. , Kirby, Kala, Kramer, Joel, Legarde, Julien, Murray, Melissa E., Newell, Kathy L. , Taurone, Alexander, Thangarajah, Maryanne, Touroutoglou, Alexandra , Clark, David , Day, Gregory S, Duara, Ranjan , Graff-Radford, Neill R, Grant, Ian , Masdeu, Joseph C. , Mendez, Mario F. , Onyike, Chiadi U. , Riddle, Meghan , Rogalskı, Emily , Salloway, Steven, Sha, Sharon J. , Carrillo, María C. , O'Brien, John Tiernan , Jack, Clifford R , Schöll, Michael , La Joie, Renaud , Rabinovici, Gil D , Dage, Jeffrey L , Rial, Alexis Moscoso , Heeman, Fiona , Raghavan, Sheelakumari , Essen, Martijn van , Camacho, Valle , Silva‐Rodríguez, Jesús , Ribaldi, Federica , Coomans, Emma M. , Brum, Wagner Scheeren , Grothe, Michel J. , Drzezga, Alexander E. , Malpetti, Maura , Rowe, James B. , Giessen, Elsmarieke van de , Ossenkoppele, Rik , Smith, Ruben , Hansson, Oskar , Garibotto, Valentina , Dickerson, Bradford Clark , LaMontagne, Pamela , Sperling, Reisa Anne , Vemuri, Prashanthi , Tam, Angela , Binette, Alexa Pichet , Dansereau, Christian , Picard, Cynthia , Michaud, Diane, Couture, Doris, Cuello, A. Claudio , Barkun, Alan , Evans, Alan Charles , Tardif, Christine Lucas , Knopman, David S. , Near, Jamie , Leoutsakos, Jeannie‐Marie , Brandt, Jason , Pruessner, Jens C. , Morris, John C. , Collins, D. Louis , Chakravarty, M. Mallar , Eisenberg, Mark Jeffrey , Rajah, Maria Natasha , Rosa-Neto, Pedro , Bellec, Pierre , Thomas, Ronald, Fonov, Vladimir , Vallee, Isabelle, Vogel, Jacob W. , Dadar, Mahsa , Appleby, Melissa , Meyer, Pierre‐François, Gonneaud, Julie , Pascoal, Tharick Ali , Vachon‐Presseau, Étienne , Spreng, R. Nathan , Rentz, Dorene M. , Buckley, Rachel F. , Gagliardi, Geoffroy Pierre , Gatchel, Jennifer R. , Guzmán‐Vélez, Edmarie , Jacobs, Heidi I.L. , Jutten, Roos J. , Pardilla‐Delgado, Enmanuelle , Price, Julie C. , Quiroz, Yakeel T. , Schultz, Aaron P. , Schultz, Stephanie A. , Sepulcre, Jorge , Vannini, Patrizia , Toga, Arthur W. , Beckett, Laurel , Saykin, Andrew J. , Potter, William, Barnes, Lisa L. , Gonzalez, Hector, Ho, Carole , Hsiao, John , Jackson, Jonathan , Veitch, Dallas P. , Neuhaus, John M , Rafii, Michael S. , Jimenez‐Maggiora, Gustavo Adolfo , Donohue, Michael , Arani, Arvin , Schwarz, Christopher G. , Jones, David T. , Kantarci, Kejal , Senjem, Matthew L. , Reid, Robert I. , Fox, Nick C. , Malone, Ian B. , Thomopoulos, Sophia I. , Nir, Talia M. , Tosun, Duygu , Das, Sandhitsu R. , Koeppe, Robert A. , Chen, Kewei , Risacher, Shannon L. , Shen, Li , Nudelman, Kelly , Ghetti, Bernardino , Grinberg, Lea T. , Hammers, Dustin B , Kirby, Kala, Kukull, Walter A. , Murray, Melissa E. , Polsinelli, Angelina J. , Atri, Alireza , Duara, Ranjan , Graff‐Radford, Neill R. , Honig, Lawrence S. , Johnson, Erik C. B. , Masdeu, Joseph C , Musiek, Erik , Salloway, Steve , Turner, Raymond Scott , Wingo, Thomas S , Wolk, S. J. , Womack, Kyle

JAMA | June 16, 2025 | Volume: 334 | Issue: 3 | Pages: 229

10.1001/jama.2025.7817 | PMID 40522652 Get It

Importance Tau positron emission tomography (PET) allows in vivo detection of neurofibrillary tangles, a core neuropathologic feature of Alzheimer disease (AD). Objective To provide estimates of the frequency of tau PET positivity and its associated risk of clinical outcomes. Design, Setting, and Participants Longitudinal study using data pooled from 21 cohorts, comprising a convenience sample of 6514 participants from 13 countries, collected between January 2013 and June 2024. Cognitively unimpaired individuals and patients with a clinical diagnosis of mild cognitive impairment (MCI), AD dementia, or other neurodegenerative disorders were included. Exposures Tau PET with flortaucipir F 18, amyloid-β (Aβ) PET, and clinical examinations. Tau PET scans were visually rated as positive according to a US Food and Drug Administration– and European Medicines Agency–approved method, designed to indicate the presence of advanced neurofibrillary tangle pathology (Braak stages V-VI). Main Outcomes and Measures Frequency of tau PET positivity and absolute risk of clinical progression (eg, progression to MCI or dementia). Results Among the 6514 participants (mean age, 69.5 years; 50.5% female), median follow-up time ranged from 1.5 to 4.0 years. Of 3487 cognitively unimpaired participants, 349 (9.8%) were tau PET positive; the estimated frequency of tau PET positivity was less than 1% in those aged younger than 50 years, and increased from 3% (95% CI, 2%-4%) at 60 years to 19% (95% CI, 16%-24%) at 90 years. Tau PET positivity frequency estimates increased across MCI and AD dementia clinical diagnoses (43% [95% CI, 41%-46%] and 79% [95% CI, 77%-82%] at 75 years, respectively). Most tau PET–positive individuals (92%) were also Aβ PET positive. Cognitively unimpaired participants who were positive for both Aβ PET and tau PET had a higher absolute risk of progression to MCI or dementia over the following 5 years (57% [95% CI, 45%-71%]) compared with both Aβ PET–positive/tau PET–negative (17% [95% CI, 13%-22%]) and Aβ PET–negative/tau PET–negative (6% [95% CI, 5%-8%]) individuals. Among participants with MCI at the time of the tau PET scan, an Aβ PET–positive/tau PET–positive profile was associated with a 5-year absolute risk of progression to dementia of 70% (95% CI, 59%-81%). Conclusions and Relevance In a large convenience sample, a positive tau PET scan occurred at a nonnegligible rate among cognitively unimpaired individuals, and the combination of Aβ PET positivity and tau PET positivity was associated with a high risk of clinical progression in both preclinical and symptomatic stages of AD. These findings underscore the potential of tau PET as a biomarker for staging AD pathology.
Antithrombotic Treatment for Stroke Prevention in Cervical Artery Dissection: The STOP-CAD Study
Yaghi, Shadi, Shu, Liqi , Mandel, Daniel , Henninger, Nils , Muppa, Jayachandra , Affan, Muhammad , Lodhi, Omair ul haq , Heldner, Mirjam R. , Seiffge, David , Omran, Setareh Salehi , Crandall, Ross , Lester, Evan, Mena, Diego López, Araúz, Antonio , Nehme, Ahmad , Boulanger, Marion , Sousa, João André , Sargento‐Freitas, João , Barata, Vasco , Castro‐Chaves, Paulo , Brito, Maria Teresa , Khan, Muhib , Mallick, Dania, Rothstein, Aaron , Khazaal, Ossama , Kaufmann, Josefin E. , Engelter, Stefan T. , Traenka, Christopher , Sousa, Diana Aguiar de , Soares, Mafalda , Rosa, Sara , Zhou, Lily , Gandhi, Preet , Field, Thalia S. , Mancini, Steven, Metanis, Issa , Pan, Kelly , Dantu, Vishnu , Baumgartner, Karl , Nolte, Christian H. , Choi, Richard , MacDonald, Jason , Shahripour, Reza Bavarsad , Ghannam, Malik , Almajali, Mohammad , Sanchez, Sebastian , Zine-Eddine, Fayçal, Poppe, Alexandre Y. , Fonseca, Ana Catarina , Baptista, Maria Fortuna , Cruz, Diana , Marco, Giovanna De , Griffin, Kim, Kuohn, Lindsey , Frontera, Jennifer , Amar, Jordan , Giles, James , Grisendi, Ilaria , Nzwalo, Hipólito , Liebeskind, David S. , Molaie, Amir , Cavalier, Annie, Kam, Wayneho , Grory, Brian Mac , Kasab, Sami Al , Eltatawy, Ali , Chervak, Lina , Chulluncuy‐Rivas, Roberto, Aziz, Yasmin , Bakradze, Ekaterina , Tran, Thanh Lam , Rodrigo‐Gisbert, Marc , Velez, Faddi Saleh, Gracia, Jorge Ortiz, Mudassani, Varsha, Vishnu, Venugopalan Y. , Yaddanapudi, Sridhara , Adams, L, Browngoehl, Abigail, Ranasinghe, Tamra , Dunston, Randy, Lynch, Zachary, Penckofer, Mary , Mayer, Silvia, Zubair, Adeel , Cheng, Yee Kuang, Ferreira, Vítor Mendes , Asad, Syed Daniyal , Sarwat, Zoha, Balabhadra, Anvesh , Patel, Shivam , Secchi, Thaís , Mantovani, Gabriel, Kim, Young Dae , Krishnaiah, Balaji , Elangovan, Cheran , Lingam, Sivani, Quereshi, Abid, Alvarado, Alonso, Khasiyev, Farid , Linares, Guillermo , Mannino, Marina , Terruso, Valeria, Vassilopoulou, Sofia , Tentolouris, Vasilis, Martínez-Marino, Manuel , Wall, Victor Carrasco , Indraswari, Fransisca , Jamal, Sleiman El , Alvi, Muhammad , Sarvath, Mohammed, Kass‐Hout, Tareq , Shi, Feina , Zhang, Jinhua , Said, Jamil , Sen, Shayak, Ghani, Mohammad R , Elnazeir, Marwa , Xiao, Han , Kala, Narendra , Khan, Farhan , Mohammadzadeh, Nahid , Furie, Karen L. , Alvarado‐Bolaños, Alonso , Tentolouris-Piperas, Vasileios , Leon Guerrero, Christopher R , Henninger, Nils , Muppa, Jayachandra , Heldner, Mirjam R , Liebeskind, David S. , Field, Thalia S , Keser, Zafer , Aziz, Yasmin , Mandel, Daniel M , Seiffge, David , Arauz, Antonio , Sousa, Joao Andre , Sargento-Freitas, Joao , Castro-Chaves, Paulo , Kaufman, Josefin E , Engelter, Stefan T , Aguiar de Sousa, Diana , Soares, Mafalda , Rosa, Sara , Metanis, Issa , Nolte, Christian H , Bavarsad Shahripour, Reza , Almajali, Mohammad , Fonseca, Ana Catarina , Kuohn, Lindsey , Frontera, Jennifer , Giles, James , Nzwalo, Hipolito , Mac Grory, Brian , Eltatawy, Ali , Rodrigo Gisbert, Marc , Vishnu, Venugopalan Y , Ranasinghe, Tamra , Mendes Ferreira, Vítor , Kim, Young Dae , Elangovan, Cheran , Alvarado-Bolanos, Alonso , Khasiyev, Farid , Tentolouris-Piperas, Vasileios , Martinez Marino, Manuel , Ghani, Mohammad , Xiao, Han , Khan, Farhan , Nehme, Ahmad , Yaghi, Shadi , Antonenko, Kateryna , Arnold, Marcel , Touzé, Emmanuel , Leker, Ronen R , Burton, Tina , von Rennenberg, Regina , MacDonald, Jason, Guo, Xiaofan , Samaniego, Edgar A , Rioux, Bastien , Cruz, Diana , Romoli, Michele , Longoni, Marco , Keser, Zafer , Zedde, Marialuisa , Pascarella, Rosario , Anadani, Mohammad , Kicielinski, Kimberly , Requena, Manuel , Velez, Faddi G. Saleh , Havenon, Adam de , Siegler, James E. , Willey, Joshua , Sharma, Richa , Marto, João Pedro , Klein, Piers , Nguyen, Thanh N. , Martins, Sheila , Fridman, Sebastian , Liu, Shilin , Ali, Farman, Morsi, Rami Z. , Sokhi, Dilraj , Simpkins, Alexis N. , Gomez, Roberto, Sen, Shayak, Stretz, Christoph , Goldstein, Eric

Stroke | June 4, 2025 | Volume: 55 | Issue: 4 | Pages: 908-918

10.1161/strokeaha.123.045731 | PMID 38335240 Get It

BACKGROUND: Small, randomized trials of patients with cervical artery dissection showed conflicting results regarding optimal stroke prevention strategies. We aimed to compare outcomes in patients with cervical artery dissection treated with antiplatelets versus anticoagulation. METHODS: This is a multicenter observational retrospective international study (16 countries, 63 sites) that included patients with cervical artery dissection without major trauma. The exposure was antithrombotic treatment type (anticoagulation versus antiplatelets), and outcomes were subsequent ischemic stroke and major hemorrhage (intracranial or extracranial hemorrhage). We used adjusted Cox regression with inverse probability of treatment weighting to determine associations between anticoagulation and study outcomes within 30 and 180 days. The main analysis used an as-treated crossover approach and only included outcomes occurring with the above treatments. RESULTS: The study included 3636 patients (402 [11.1%] received exclusively anticoagulation and 2453 [67.5%] received exclusively antiplatelets). By day 180, there were 162 new ischemic strokes (4.4%) and 28 major hemorrhages (0.8%); 87.0% of ischemic strokes occurred by day 30. In adjusted Cox regression with inverse probability of treatment weighting, compared with antiplatelet therapy, anticoagulation was associated with a nonsignificantly lower risk of subsequent ischemic stroke by day 30 (adjusted hazard ratio [HR], 0.71 [95% CI, 0.45–1.12]; P =0.145) and by day 180 (adjusted HR, 0.80 [95% CI, 0.28–2.24]; P =0.670). Anticoagulation therapy was not associated with a higher risk of major hemorrhage by day 30 (adjusted HR, 1.39 [95% CI, 0.35–5.45]; P =0.637) but was by day 180 (adjusted HR, 5.56 [95% CI, 1.53–20.13]; P =0.009). In interaction analyses, patients with occlusive dissection had significantly lower ischemic stroke risk with anticoagulation (adjusted HR, 0.40 [95% CI, 0.18–0.88]; P interaction =0.009). CONCLUSIONS: Our study does not rule out the benefit of anticoagulation in reducing ischemic stroke risk, particularly in patients with occlusive dissection. If anticoagulation is chosen, it seems reasonable to switch to antiplatelet therapy before 180 days to lower the risk of major bleeding. Large prospective studies are needed to validate our findings.
Tumor Treating Fields With Gemcitabine and Nab-Paclitaxel for Locally Advanced Pancreatic Adenocarcinoma: Randomized, Open-Label, Pivotal Phase III PANOVA-3 Study
Babiker, Hani M. , Picozzi, Vincent J. , Chandana, Sreenivasa R , Melichar, Bohuslav, Kasi, Anup , Gang, Jin, Gállego, Javier , Bullock, Andrea J. , Chunyi, Hao, Hitre, Erika, Osipov, Arsen , Alés, Inmaculada, Dragovich, Tomislav, Lee, Woo Jin , Feeney, Kynan, Ueno, Makoto , Seufferlein, Thomas , Investigators, on behalf of the PANOVA-3 Study, Osipov, Arsen, Matrana, Marc , Blondin, Nicholas, Shroff, Rachna T. , Orr, Douglas, Anderson, Michael J. , Shields, Anthony F. , Hamm, John , Bullock, Andrea, Nagireddy, Sumana, Kolodney, Joanna, Dragovich, Tomislav, Maniam, Ajit, Sears, Judith D., Stilwill, Joseph, Cusnir, Mike , Niewiaroska, Anna, Small, William, Kasi, Anup, Tache, Jason, Ross, Sharona, Shihabi, Samer, Gandhi, Sunil, Reeves, J. N. , Green, Garrett , Feinstein, Trevor, Huyck, Timothy K., Ramdin, Nadia, Marsh, Robert , Jiang, Yixing , Hatoum, Hassan , Manda, Sudhir, Kochenderfer, Mark D., Illum, Henrik, Richards, Donald , Valilis, P., Wong, Lucas, Newton, Herbert B. , Abdelrahim, Maen, Einspahr, David, Siegel, Richard, McKenney, Scott, Narang, Mohit , Cárdenes, Higinia R. , Thanikachalam, Kannan , Raff, Joshua P. , Ye, Joseph , Behl, Deepti , Kam, Audrey E., DeRose, Paul, Tasneem, A. , Brenner, Warren, Santos, Jennifer De Los , Rausch, D C, Trikha, Gaurav, Gabrail, Nashat , Mowat, Rex B., Jahangir, Khawaja, Schumaker, Robert P. , Soffen, Edward , Bravin, Eric, Gupta, Mukul Kumar , Bedoya-Apraez, Ivan Dario, Kang, Tyler Y., Lemay, Frédéric , Vincent, Mark , Létourneau, Richard, Doehring, Christine, Haberkorn, Mike, Rußwurm, Karen, Chater, Jack, Küng, Marc , Schacher, Sabine, Passhak, Maria , Geva, Ravit , Hubert, Ayala, Golan, Talia , Senellart, Hélène, Trouilloud, Isabelle , Blan, Jean-Frederic, Dourthe, Luis-Marie, Roy, Florence Le, Martin-Babau, J., Greil, Richard , Schreil, Georg, Gerger, Armin , Eisterer, Wolfgang , Mercadé, T. Macarulla, Cubillo, Antonio , Pons, Francesc Valladares, Díaz, Inmaculada Alés, Rivera, Fernando , Sarvise, Mariano Ponz, Airoldi, Mario , Bellotti, Giovanna, Corsi, Domenico , Antonuzzo, Lorenzo , Melichar, Bohuslav, Holečková, Petra , Kotasek, Rostislav, Němeček, Radim , Cutsem, Eric van, Laethem, Jean‐Luc Van , Sym, Sun Jin , Kim, Jin Young , Oh, Sang Cheul , Park, Joon Oh, Kim, Jin Won , Lee, Myung Ah , Choi, Hye Jin, Kang, Seok Yun , Mruk, Andrzej, Freier, Beata, Kosakowska, Ewa Anna, Kocsis, Judit, Csőszi, Tibor , Hitre, Erika, Al-Farhat, Yousuf, Cang, Shundong , Jin, Gang , Zuo, Changzeng, Song, Lijie, Wu, Zheng , Gao, Jie , Zhang, Tao� , Wang, Yusheng , Yuan, Xin , Li, Zhi-Hua , Chen, Rufu , Cai, Xiujun , Zhu, Zhizhen, Bai, Yuxian , Bai, Chunmei, Yau, Thomas, Joubert, Warren , Wong, Ka Yeung Mark, Harris, Marion , Mišir, Ana, Faccio, Adilson , Cruz, Felipe Melo , Azevedo, Srergio De, Victorino, Ana Paula , Paiva, Tadeu Ferreira, Franke, Fábio , Tiscoski, Katsuki Arima , Parolla, Gabriel, Lilno, Flora, Siqueira, Mariana Bruno , Lyra, Marcos, Lira, Jose Luis Martinez, Oliva, Dolores Mendoza, Vazquez, Arturo, Luviano, Jesus Elvis Cabrera, Gutiérrez, Erika Castillo , Camargo, Vanessa Rosas, Guerra, Cristian Chavez, Flores, Osvaldo Hernandez, Contreras, Jessica Reyes, Villanueva, Ángel Gómez, Villanueva, Omar Zayas, Bullock, Andrea , Wyrwicz, Lucjan , Osipov, Arsen , De La Fouchardiere, Christelle , Lee, Woojin , Ueno, Makoto , Van Cutsem, Eric , Macarulla, Teresa , Babiker, Hani , Antonuzzo, Lorenzo , Melichar, Bohuslav, Kasi, Anup , Gang, Jin, Gallego, Javier , Hitre, Erika, Fouchardière, Christelle de la , Dragovich, Tomislav, Philip, Philip A. , Cutsem, Eric Van , Macarulla, Teresa , Investigators, on behalf of the PANOVA-3 Study, Spigel, David R. , Osipov, Arsen, Lou, Emil , Bullock, Andrea, Dragovich, Tomislav, Coveler, Andrew L. , Arena, Francis P. , Kasi, Anup, Ross, Sharona , Reeves, James, Green, Garrett, Uemura, Marc Isamu , Ye, Joseph, Wang, James Z. , Rausch, Daniel, Park, Jae‐Hyun , Schumaker, Robert, Gupta, Mukul, Letourneau, Richard, Fuchs, Martin , Vogel, Arndt , Chater, Jack, Schacher, Sabine, Stemmer, Salomon M. , Dourthe, Luis-Marie, Abdelghani, Méher Ben , Pons, Francesc Valladares, Guillén‐Ponce, Carmen , Yayá, Ricardo , Ponz‐Sarvisé, Mariano , Vincenzi, Bruno , Melichar, Bohuslav, Petruzelka, Lubos B. , Cutsem, Eric van, Borbath, Ivan , Hwang, Jun‐Eul , Oh, Sung Yong , Lee, Moon Hee , Choi, Hye Jin , Chon, Hong Jae , Ramlau, Rodryg , Mruk, Andrzej, Hitre, Erika, Bassam, Ali, Hao, Chunyi , Liang, Bo , Li, Wei , Bai, Chunmei , Joubert, Warren, Marx, Gavin M. , Azevedo, Srergio De, Hoff, Paulo M. , Vazquez, Arturo, Guerra, Cristian Chavez, Cortez, David Orta, Campos-Gómez, Saúl , Espinoza, Iván Romarico González

Journal of Clinical Oncology | May 31, 2025 | Volume: 43 | Issue: 21 | Pages: 2350-2360

10.1200/jco-25-00746 | PMID 40448572 Get It

PURPOSE Tumor treating fields (TTFields) use alternating electric fields to disrupt cancer cell proliferation. Feasibility of TTFields therapy with gemcitabine/nab-paclitaxel was previously demonstrated in patients with advanced pancreatic adenocarcinoma. PANOVA-3 was designed to confirm safety and efficacy of TTFields in patients with unresectable locally advanced pancreatic adenocarcinoma (LA-PAC). METHODS In this global phase III trial, 571 patients with newly diagnosed LA-PAC were randomly assigned to receive gemcitabine 1,000 mg/m 2 and nab-paclitaxel 125 mg/m 2 by intravenous infusion once a day on days 1, 8, and 15 of a 28-day cycle with or without TTFields. The primary end point was overall survival (OS). Secondary end points included progression-free survival (PFS), local PFS, pain-free survival, and overall response rate (ORR). Distant PFS was analyzed post hoc. RESULTS OS was significantly prolonged using TTFields with gemcitabine/nab-paclitaxel versus gemcitabine/nab-paclitaxel (median, 16.2 months [95% CI, 15.0 to 18.0] v 14.2 months [95% CI, 12.8 to 15.4]; hazard ratio [HR], 0.82 [95% CI, 0.68 to 0.99]; P = .039). PFS, local PFS, and ORR were not improved. Pain-free survival was significantly prolonged with TTFields with gemcitabine/nab-paclitaxel (median, 15.2 months [95% CI, 10.3 to 22.8] v 9.1 months [95% CI, 7.4 to 12.7]; HR, 0.74 [95% CI, 0.56 to 0.97]; P = .027), as was distant PFS (median, 13.9 months [95% CI, 12.2 to 16.8] v 11.5 months [95% CI, 10.4 to 12.9]; HR, 0.74 [95% CI, 0.57 to 0.96]; P = .022). Device-related skin adverse events (AEs) were experienced by 76.3% of patients. Most device-related skin AEs were mild to moderate, with 7.7% of patients reporting a grade 3 AE. CONCLUSION This study demonstrated significant OS, pain-free survival, and distant PFS benefits for TTFields with gemcitabine/nab-paclitaxel versus gemcitabine/nab-paclitaxel in patients with unresectable LA-PAC, with no additive systemic toxicity.