Citations

Clear

5209 citation(s) found for "Wang, Li-Ju".

Thyroid dysfunction and migraine across racial and age groups: A multinational cohort study
Bai, Isaac, Mascarenhas, Niki, Maharjan, Kritika, Wang, Han, Chou, CK , Lai, I-An, Lin, C Y , Weng, Chien‐Hsiang

Mayo Clinic

Headache: The Journal of Head and Face Pain | July 16, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1111/head.70173 | PMID 42458900 Get It

Abstract Objective To evaluate whether thyroid dysfunction, including hypothyroidism and hyperthyroidism, is associated with migraine across racial and age groups using a large, multinational electronic health record database. Background Thyroid disorders are highly prevalent worldwide, with hypothyroidism affecting over 200 million individuals and hyperthyroidism affecting approximately 2.5% of adults. Migraine is a leading cause of disability globally. Prior studies have suggested potential links between thyroid dysfunction and migraine, but evidence has been limited by small sample sizes, restricted population diversity, and inadequate control of confounding. Whether associations differ by thyroid subtype, race, or age remains unclear. Methods We performed two parallel retrospective cohort analyses within the TriNetX Global Collaborative Network, comprising over 200 million patients across 21 countries, using patient records from January 2004 to December 2024. Adults aged 18–100 years with hypothyroidism or hyperthyroidism, defined by ≥3 clinical encounters within 20 years, were identified. Individuals with psychiatric disorders (including mood, anxiety, and stress‐related disorders), sleep disorders, epilepsy or recurrent seizures, or known migraine‐related genetic mutations were excluded. Each thyroid cohort was compared with a control group without thyroid disease, with groups balanced on key demographic and clinical characteristics including age, sex, and hypertension; beta‐blocker use was additionally considered in the hyperthyroidism cohort. The primary outcome was diagnosis of migraine (International Classification of Diseases, 10th Revision, code G43) within 5 years of index date. Subgroup analyses were conducted by race (Caucasian, African American/Black, Asian) and age (18–40, 40–65, 65–100 years). Sensitivity analyses assessed robustness to alternative visit thresholds and expanded covariate adjustment. Results A total of 33,327,750 patients were included in the hypothyroidism analysis and 28,182,377 in the hyperthyroidism analysis. Baseline differences between groups were minimized after cohort balancing. Hypothyroidism was associated with higher odds of migraine across all racial groups, strongest among African American/Black (odds ratio [OR] 2.04; 95% confidence interval [CI] 1.91–2.17), followed by White (OR 1.93; 95% CI 1.89–1.96) and Asian (OR 1.83; 95% CI 1.69–1.98). Hyperthyroidism was similarly associated with increased migraine odds, most prominently among White (OR 1.64; 95% CI 1.59–1.70), with smaller but significant associations in African American/Black (OR 1.28; 95% CI 1.14–1.44) and Asian (OR 1.18; 95% CI 1.07–1.29). Elevated odds were observed across all age strata, generally increasing with age. Findings were consistent in sensitivity analyses. Conclusion In this large, multinational real‐world study, both hypothyroidism and hyperthyroidism were independently associated with increased migraine prevalence across diverse racial and age groups. These results highlight thyroid dysfunction as an important comorbid condition in migraine and support further prospective and mechanistic investigation.
PRANA: A Deep Learning Method for Adapting Polygenic Risk Scores to Diverse Ethnic Groups
Levi, Hagai, Wang, Qin, Bolla, Manjeet K. , Dennis, Joe, Andrulis, Irene L., Antonenkova, Natalia, Au, Chun Hang, Freeman, Laura E. Beane, Bermisheva, Marina, Bodelon, Clara, Bojesen, Stig E., Brenner, Hermann, Brock, Ian W., Brüning, Thomas, Byers, Helen, Camp, Nicola J., Castelao, Jose E., Choi, Ji-Yeob, Chung, Wendy K., Collaborators, NBCS, Colonna, Sarah, Couch, Fergus J., Daly, Mary B., Devilee, Peter, Dörk, Thilo, Eliassen, A. Heather, Eriksson, Mikael, Evans, D. Gareth, Fasching, Peter A., Faw, Kierstin, García-Closas, Montserrat, Haiman, Christopher A., Hamann, Ute, Hartman, Mikael, Hooning, Maartje J., Hoppe, Reiner , Howell, Sacha J., Investigators, ABCTB, Investigators, SGBCC, Ito, Hidemi, Iwasaki, Motoki, Jakubowska, Anna, Jernström, Helena, Joseph, Vijai, Kaaks, Rudolf, Kang, Daehee, Khusnutdinova, Elza K., Kiprijanovska, Sanja , Koutros, Stella, Kristensen, Vessela N., Kurian, Allison W., Kwong, Ava, Lambrechts, Diether, Larson, Nicole L. , Marchand, Loic Le, Li, Shuai, Li, Jingmei, Lophatananon, Artitaya, Mannermaa, Arto, Matsuo, Keitaro, Maxwell, Whitney, Muir, Kenneth, Nevelsteen, Ines, Obi, Nadia, O’Brien, Katie M., Ofit, Kenneth, Ottewell, Penelope D., Patel, Alpa V., Plaseska-Karanfilska, Dijana, Prajzendanc, Karolina , Ramachandran, Dhanya, Rashid, Muhammad U., Saloustros, Emmanouil, Sandler, Dale P., Schöttker, Ben, Simard, Jacques, Southey, Melissa C., Stone, Jennifer, Teras, Lauren R., Truong, Thérèse, Weinberg, Clarice R., Yamaji, Taiki , Zheng, Wei, Easton, Douglas F., Elkon, Ran , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W. , Li, Shuai , Lambrechts, Diether , Lambrechts, Diether , Kurian, Allison W , Li, Shuai , Levi, Hagai , Au, Chun , Augustinsson, Annelie , Freeman, Laura E. Beane , Behrens, Sabine , Bermisheva, Marina , Bodelón, Clara , Bogdanova, Natalia , Brenner, Hermann , Brock, Ian W., Brüning, Thomas , Byers, Helen, Camp, Nicola J. , Castelao, Jose E. , Choi, Ji-Yeob , Chung, Wendy K. , Colonna, Sarah V. , Couch, Fergus J. , Czene, Kamila , Daly, Mary B., Devilee, Peter , Dörk, Thilo, Evans, D. Gareth , Fasching, Peter A., Faw, Kierstin, Gago-Domínguez, Manuela , García‐Closas, Montserrat , Haiman, Christopher A. , Hartman, Mikael , Ho, Vikki , Ho, Peh Joo , Hooning, Maartje J. , Investigators, S On Behalf Of The Chlovis Study, Iwasaki, Motoki , Jakubowska, Anna, Jernström, Helena , Joseph, Vijai, Kaaks, Rudolf , Хуснутдинова, Э. К. , Koutros, Stella , Kristensen, Vessela N., Kwong, Ava , Marchand, Loı̈c Le , Li, Jingmei, Lophatananon, Artitaya , Mannermaa, Arto , Nevelsteen, Ines , Obi, Nadia , O’Brien, Katie M. , Ottewell, Penelope Dawn , Peterlongo, Paolo , Plaseska‐Karanfilska, Dijana , Radice, Paolo , Ramachandran, Dhanya , Romero, Atocha , Saloustros, Emmanouil , Sandler, Dale P. , Schöttker, Ben , Simard, Jacques , Southey, Melissa C. , Sugier, Pierre‐Emmanuel , Taylor, Jack A. , Teras, Lauren R. , Truong, Thérèse , Weinberg, Clarice R. , Yadav, Siddhartha , Dunning, Alison M. , Mavaddat, Nasim , Easton, Douglas F. , Michailidou, Kyriaki , Shamir, Ron

Mayo Clinic

No container title available | July 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.12.26357860 | PMID 42523604 Get It

Abstract Polygenic risk scores (PRSs), which quantify inherited susceptibility to complex traits and diseases, have emerged as valuable tools for risk stratification and precision medicine. Despite their promise, PRS developed on European cohorts often demonstrate substantially reduced predictive accuracy in non-European populations, due to differences in genetic architecture. The disproportionate representation of European ancestry cohorts in genome-wide association studies (GWAS) leads to inequitable deployment of PRS technologies across diverse populations. Here, we introduce PRANA (Polygenic Risk Adaptation via Neural-network Architecture), a deep learning framework that adapts an existing PRS developed on one population to other ancestries. Unlike methods that require large-scale GWAS in the target population, PRANA leverages pre-trained PRS models derived from European cohorts and adapts them using modestly sized cohorts from the target population. We evaluated PRANA on seven complex traits in South Asian, East Asian and Ashkenazi Jewish populations, as well as in selected smaller East Asian subpopulations where the scarcity of training data poses a particular challenge. PRANA mostly improved predictive performance of the baseline PRS models by 5%-20% in terms of effect size (β) and Nagelkerke’s R², and, in most cases, outperformed existing cross-ancestry multi-PRS approaches. These results highlight PRANA as a scalable and practical strategy to reduce disparities in genomic risk prediction and advance the equitable application of PRS in diverse populations.
Developmental Control of DNA Damage Responses in α- and β-Cells Shapes the Selective β-Cell Susceptibility in Diabetes
Varghese, Sneha S., Peña, Alessandro Giovanni Hernandez-De La, Wang, Liu, Ruiz, Victor, Tixi, Wilma, Pandey, Aparamita, Anchondo, Laura, Chiu, Amy, Wu, Xiwei, Georgia, Senta K. , Shih, Hung-Ping, Bhattacharya, Supriyo, Dhawan, Sangeeta , Wang, Liu , Wei, Zong , Dhawan, Sangeeta , Varghese, Sneha S., Peña, Alessandro Giovanni Hernandez-De La , Ruiz, Victor, Tixi, Wilma, Pandey, Aparamita, Anchondo, Laura M. , Chiu, Amy, Wu, Xiwei, Georgia, Senta K. , Shih, Hung-Ping, Bhattacharya, Supriyo

Mayo Clinic

Diabetes | July 15, 2026 | Volume: 75 | Issue: 9 | Pages: 1612-1628

10.2337/db25-1027 | PMID 42455072 Get It

Accumulation of DNA damage drives β-cell dysfunction, senescence, and death in type 1 and type 2 diabetes. Although α-cell dysfunction also contributes to disease pathology, α-cells remain remarkably resistant to senescence and increased cell death under diabetogenic stress. The mechanisms underlying these differential responses to diabetogenic stress, particularly differences in their DNA damage vulnerability, remain unclear. We demonstrate that replication introduces a window of genomic vulnerability in both α- and β-cells during neonatal growth, with α-cells exhibiting higher replication rates and DNA damage. We show that neonatal β-cells resolve DNA damage more efficiently during mitosis and favor error-free repair, whereas α-cells compensate for their greater DNA-damage vulnerability through increased cellular turnover. Using mouse models of overnutrition and diabetes, we show that β-cells exhibit greater vulnerability to terminal DNA damage and impaired repair capacity under diabetogenic stress, with compensatory replication amplifying this vulnerability. We demonstrate that developmental and postnatal epigenetic programs shape the differential DNA damage vulnerability of postnatal β- and α-cells. Loss of de novo DNA methyltransferase Dnmt3a in pancreatic progenitors selectively increases the DNA damage vulnerability of β-cells from neonatal growth through adulthood. Complementing this developmental process, enhancer analyses reveal lineage-specific DNA damage response regulatory landscapes that are remodeled in β-cells under metabolic stress. Collectively, our findings uncover novel developmental mechanisms that shape the distinct DNA damage responses of postnatal β- and α-cells during growth and diabetes. Article Highlights Mechanisms underlying the differential susceptibility of pancreatic β- and α-cells to diabetogenic stress remain unclear. We investigated whether replication, repair fidelity, and developmental epigenetic programs determine the vulnerability of postnatal β- and α-cells to DNA damage, a key driver of β-cell failure in diabetes. Replication introduces DNA damage vulnerability in both neonatal β- and α-cells, yet β-cells resolve damage more efficiently. Loss of DNA methyltransferase 3a in pancreatic progenitors selectively heightens β-cell DNA damage vulnerability that persists into adulthood. Moreover, diabetogenic stress preferentially compromises β-cell repair fidelity. These findings reveal how developmental programs shape β-cell resilience and may influence lifelong diabetes risk.
SpaceXray: Feasibility and Diagnostic Capabilities of On-Orbit Medical Radiography
Gifford, Sheyna E. , Pohlen, Michael , Wang, Adam S. , Lerner, David J. , Wadhwa, Anna , Cairnie, Michael, Walter, Jeanne, Karim, Karim S. , Tilley, Steven , Karnick, Amol , Rosenberg, Marissa A , Petersen, Lonnie G , Gifford, Sheyna E. , Pohlen, Michael , Lerner, David J. , Wadhwa, Anna , Cairnie, Michael, Walter, Jeanne, Karim, Karim S. , Tilley, Steven

Mayo Clinic

Radiology | July 14, 2026 | Volume: 320 | Issue: 1 | Pages: No page available

10.1148/radiol.260258 | PMID 42446357 Get It

By acquiring the first human and equipment radiographs in space, this study demonstrated the feasibility of on-orbit radiography and expanded diagnostic capabilities for crew health and hardware evaluation.
Clinical Recommendations for Remote Robotic Assisted Surgery From the CRSA 2025 International Consensus Conference
Raptis, Dimitri Aristotle , Kavoussi, Louis, Wren, Sherry M. , Fowler, Dennis, Anvari, Mehran, Bianco, Francesco, Liang, Xiao, Li, Zheyong, Yin, Xiaoyu, Piccoli, Micaela, Marks, John, Shen, Baiyong, Ko, Clifford, Seeliger, Barbara, Hagendoorn, Jeroen, Essani, Rahila, Walsh, R. Matthew, Oleynikov, Dmitry, Jones, Stephanie B., Bindal, Vivek , Kim, Hyun Koo, Hyung, Woo Jin, Hashimoto, Daniel, Chen, Liaohai Leo, Burt, Bryan M., Lafaro, Kelly, Elli, Fernando, Wilson, Erik, Bianchi, Paolo Pietro, Morgan, Annette, Bartlett, Stephen T., Rashidi, Laila, Yu, Liu, Gawkins, Bill, Hinoul, Piet, Peine, Bill, Woo, Yanghee, Raoof, Mustafa, Jones, Daniel, Deshpande, Supriya, Bernard, Jordana , Wang, Yulun, Broering, Dieter C., Giulianotti, Pier Cristoforo, Fong, Yuman , Raptis, Dimitri , Wren, Sherry M , Aldousari, Saad , Ruurda, Jelle P. H. , Bindal, Vivek , Melstrom, Laleh , Celotto, Francesco , Kudsi, Yusef , Ratti, Francesca , Bernard, Jordana , Kavoussi, Louis R., Fowler, Dennis L. , Anvari, Mehran , Bianco, Francesco Maria , Piccoli, Micaela , Marks, John, Ko, Clifford, Seeliger, Barbara , Hagendoorn, Jeroen , Essani, Rahila, Walsh, R. Matthew , Oleynikov, Dmitry , Hyung, Woo Jin , Hashimoto, Daniel A. , Burt, Bryan M. , Lafaro, Kelly J. , Elli, Fernando, Bianchi, Paolo Pietro, Rashidi, Laila, Hinoul, Piet , Peine, Bill, Woo, Yanghee , Raoof, Mustafa , Jones, Daniel, Deshpande, Supriya , Bröering, Dieter C. , Giulianotti, Pier Cristoforo

Mayo Clinic

World Journal of Surgery | July 14, 2026 | Volume: 50 | Issue: 8 | Pages: 2274-2288

10.1002/wjs.70468 | PMID 42444290 Get It

ABSTRACT Background Implementation of remote robotic‐assisted surgery (rRAS) has the potential to significantly improve access to high‐quality surgical care for patients worldwide. Advances in robotic systems and telecommunications now enable highly reliable, low latency, and cybersecure connectivity. These technological developments, together with the broader adoption of telemedicine, have driven an increasing interest in the implementation of rRAS. Methods The Clinical Robotic Surgery Association (CRSA) convened a conference to develop international clinical recommendations for rRAS using the Danish Model of Consensus. The society identified five key issue categories and invited a panel of experts to address specific questions for each. Panel members and a jury of 10 unbiased, non‐expert in rRAS professionals participated in a day‐long conference on November 19, 2025 (Los Angeles, USA). During the conference, participants presented, discussed, and reached consensus on specific guidelines relevant to each category. Immediately after the conference, the jury reviewed and approved the recommended guidelines. Results Multiple recommendations were approved for each of the following categories: Operating Models, Roles and Responsibilities (2 recommendations), Clinical Pathway (2 recommendations), Emergency Management (8 recommendations), Technical Considerations (5 recommendations), and Medico‐legal and Ethical Considerations (4 recommendations). Conclusions There was consensus that with recent advances in telecommunication and robotic technologies, rRAS can be offered safely and effectively if the identified safeguards are realized. Adoption of rRAS is expected to continue advancing rapidly.
MAGIC Composite Score Predicts Outcomes of Second-Line Therapy for Acute GVHD
Sebastian, Tara, Weber, Daniela, Etra, Aaron M., Vasova, Ingrid, Ayuk, Francis, Choe, Hannah K., DeFilipp, Zachariah, Quagliarella, Francesco, Bedirian, Karni, Diniz, Marcio Augusto, Aguayo-Hiraldo, Paibel, Bader, Peter, Baez, Janna, Chanswangphuwana, Chantiya, Eng, Gilbert, Francke, Thomas, Hexner, Elizabeth O., Katsivelos, Nikolaos, Kitko, Carrie L., Kraus, Sabrina, Louloudis, Ioannis E., Morales, George, Nakamura, Ryotaro, Olson, Timothy S., Qayed, Muna, Reddy, Pavan, Reshef, Ran, Schechter, Tal, Wang, Tingyu, Wolf, Matthias, Young, Rachel, Zeiser, Robert, Hogan, William J., Levine, John E., Ferrara, James L.M., Sebastian, Tara M. , Weber, Daniela , Etra, Aaron , Vášová, Ingrid, Ayuk, Francis , Choe, Hannah , DeFilipp, Zachariah , Quagliarella, Francesco , Bedirian, Karni, Aguayo‐Hiraldo, Paibel , Bader, Peter , Baez, Janna , Chanswangphuwana, Chantiya , Eng, Gilbert, Francke, Thomas, Hexner, Elizabeth O. , Katsivelos, Nikolaos , Kitko, Carrie L. , Kraus, Sabrina , Morales, George , Nakamura, Ryotaro , Olson, Timothy S. , Qayed, Muna , Reddy, Pavan, Reshef, Ran , Schechter, Tal , Wölfl, Matthias , Young, Rachel , Zeiser, Robert , Hogan, William J. , Levine, John E. , Ferrara, James L.M.

Mayo Clinic

No container title available | July 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.07.09.26357664 | PMID 42523406 Get It

ABSTRACT Approximately 30% of patients with acute graft-versus-host disease (GVHD) develop steroid-refractory disease and have very poor outcomes. Ruxolitinib has become the standard of care for steroid-refractory acute GVHD, but it is unclear which patients derive benefit. The MAGIC Composite Score (MCS), an algorithm that combines clinical symptoms and biomarkers, has been validated to predict outcomes at the start of primary GVHD treatment. Here, we evaluated its performance at the initiation of second-line treatment in 278 patients. MCS stratified patients into three risk groups (MCS1-3), with the majority (88%) classified as intermediate or high risk. Increasing MCS score was associated with progressively higher 1-year non-relapse mortality (NRM) rates (16%, 41%, and 73%; p<0.001), lower 1-year survival (77%, 56%, and 24%; p<0.001), and lower complete response (CR) rates at day 28 (47%, 38%, and 20%, respectively; p<0.01). The area under the receiver operating characteristic curve (AUROC) for 1-year NRM was significantly higher with MCS compared to clinical symptoms alone (0.70 vs. 0.63; p=0.023). Among patients treated with ruxolitinib, higher MCS similarly predicted higher NRM and lower survival and CR rates. Patients classified as MCS2/3 had poor outcomes despite ruxolitinib, underscoring the need for novel therapies in this patient population. In conclusion the MCS is an accurate predictor of outcomes for patients who require second-line treatment and may be of use as an eligibility criterion for future clinical trials in this high-risk population. Key Points MAGIC Composite Scores that integrate clinical symptoms and biomarker scores predict outcomes of second-line therapy for acute GVHD more accurately than clinical symptoms alone. MCS identifies patients with high NRM despite treatment with ruxolitinib.
Lessons Learned from Nonoperative Management of Greater Trochanter Fractures After Total Hip Arthroplasty
Wang, P S, Labott, Josh R, Perez, Sergio F Guarin, Restrepo, Diego J, Hannon, Charles P, Abdel, Matthew P, Sierra, Rafael J, Sierra, Rafael J. , Abdel, Matthew P. , Hannon, Charles P. , Perez, Sergio F. Guarin , Restrepo, Diego J. , Wang, Pai-Han , Guarin Perez, Sergio F , Restrepo, Diego J. , Hannon, Charles P , Abdel, Matthew P , Sierra, Rafael J , Labott, Joshua R.

Mayo Clinic

JBJS Open Access | July 13, 2026 | Volume: 11 | Issue: 3 | Pages: No page available

10.2106/jbjs.oa.26.00168 | PMID 42428036 Get It

Background: Greater trochanteric (GT) fractures after total hip arthroplasty (THA) are typically managed nonoperatively. However, outcome data for patient counseling remain limited. We evaluated the nonoperative results, focusing on fracture union rates and the presence of persistent limp in relation with fracture location, displacement magnitude, and direction. Methods: We retrospectively reviewed 82 postoperative GT fractures not associated with trochanteric osteolysis following primary THA performed between 1984 and 2020. The mean follow-up was 9 years. Fracture location was classified relative to the contralateral lesser trochanter as tip, waist, or base. Initial displacement, migration, final displacement, and bony union were assessed radiographically. Clinical outcomes included the presence of a persistent limp and Harris Hip Score. Multivariable analyses were performed to identify factors associated with nonunion and limp. Results: Fractures were classified as tip (n = 32), waist (n = 29), or base (n = 21). The mean initial displacement was 8.9 mm, with 43% displaced >10 mm. Initial displacement was significantly lower in base fractures (4.8 mm) compared with tip (10.1 mm) or waist (10.8 mm) fractures (p < 0.05). The mean final displacement was 14.6 mm. 45% of fractures achieved complete bony union, and 38% of patients demonstrated a persistent limp. In multivariable analysis, greater final displacement (>12 mm), and tip and waist fractures were independently associated with nonunion. Posterior fracture displacement was significantly associated with persistent limp. Conclusions: Outcomes following nonoperative management of GT fractures after THA depend on fracture morphology and displacement characteristics. Tip and waist fractures and fractures with final displacement >12 mm have a higher risk of nonunion, whereas posterior and superior displacement is associated with persistent limp. Greater than 20 mm of displacement is associated with both limp and nonunion. These findings may assist surgeons in counseling patients and in identifying fracture patterns at higher risk for adverse outcomes of nonoperative management. Level of Evidence: Level III (Prognostic Study). See Instructions for Authors for a complete description of levels of evidence.
Amyloid PET Quantitation and Centiloid Thresholds in the Diagnosis of Alzheimer Disease
Soleimani‐Meigooni, David N. , Chiotis, Konstantinos, Allen, Isabel E., Rabinovici, Gil D., Joie, Renaud La , Group, Meta-Centiloid Study, Apostolova, Liana G. , Asken, Breton M., Benzinger, Th., Betthauser, Tobey J., Bluma, Marina, Bombois, Stephanie, Bourgeat, Pierrick, Bouteloup, Vincent , Braskie, Meredith N., Brendel, Matthias, Brickman, Adam M., Bryant, Natalie, Bullich, Santiago , Carrillo, Maria C., Casaletto, Kaitlin, Cash, David M., Chang, Chiung-Chih, CHANG, H L, Chao, Yishu , Collij, Lyduine E., Corrada, Maria M., Craft, Suzanne , Dickerson, Bradford C., Dubois, Bruno, Dufouil, Carole, Fajardo, Alfonso, Farrar, Gill , Fortea, Juan, Frings, Lars , Frisoni, Giovanni B., Gardner, Raquel C., Gnörich, Johannes , Gordon, Brian A., Gu, Yuna , Guan, Yihui, Guo, Tengfei, Hanseeuw, Bernard J., Hansson, Oskar, Harrison, Theresa M., Huang, Qi, Huang, ST , Iaccarino, Leonardo, Ishii, Kazunari, Ishi, Kenji, Jagust, William J., Johnson, Sterling C., Kato, Takashi, Katsumi, Yuta, Kaye, Jeffrey, Kolinger, Guilherme D., Kramer, Joel H. , Landau, Susan M., Landeau, Brigitte, Lao, Patrick J., Lee, Sangwon, Lopresti, Brian J., Lowe, Val J. , Luchsinger, José A., Mao, Xiaoxie, March, Andrew, Masters, Colin L., Meyer, Philipp T., Mezenge, Florence, Mormino, Elizabeth C., Franquesa‐Mullerat, María , Nakamura, Akinori, Nordberg, Agneta, O’Brien, John T., O’Bryant, Sid E., Pappas, Ioannis, Peretti, Debora E., Rowe, Christopher C., Rowe, James B., Schwartz, Daniel L., Seo, Sang Won , Shekari, Mahnaz, Smith, Ruben, Snyder, Heather M. , Sokolowski, Andrzej, Sperling, Reisa A., Sun, Pan, Taggett, Jacinda Z., Touroutoglou, Alexandra , Vaillancourt, David E., Giessen, Elsmarieke van de, Vijverberg, Jort, Villemagne, Victor L. , Villeneuve, Sylvia , Wang, Wei-en, Weiner, Michael, Woodworth, Davis, Xiao, Cally , Xie, F, Yoon, Yeojun, Yun, Mijin, Severanc, A4, ABIDE, ADNI*, ADNI-DoD, AgeWell, AIBL, AMYPAD, BACS, BATON, BIOCARD, BLSA, BioFINDER-2, BrANCH, CPAS, DETECT-AD, GEMS, GHABS, HABS, HABS-HD, IDEAS, IMAP, INSIGHT-preAD, Insight46, K-ROAD, LEADS, MCSA, MULNIAD, MEMENTO, SCAN, PREVENT-AD, SPIN,, Corrada, María M. , La Joie, Renaud , Blazhenets, Ganna , Chiotis, Konstantinos , Allen, Isabel Elaine , Rabinovici, Gil D. , Asken, Breton M. , Bejanin, Alexandre , Benzinger, Tammie L.S. , Betthauser, Tobey J. , Blūma, Marina , Bombois, Stéphanie , Bourgeat, Pierrick , Braskie, Meredith N. , Brendel, Matthias , Brickman, Adam M. , Carrillo, María C. , Casaletto, Kaitlin B. , Cash, David M. , Chang, Chiung‐Chih , Chang, Hsin‐I , Chêne, Geneviève , Chételat, Gaël , Coath, William , Collij, Lyduine , Colmant, Lise , Dickerson, Bradford Clark , Dubois, Bruno , Dufouil, Carole , Fortea, Juan , Garibotto, Valentina , Gordon, Brian A. , Guan, Yihui , Guo, Tengfei , Hanseeuw, Bernard , Hansson, Oskar , Harrison, Theresa M. , Iaccarino, Leonardo , Ishii, Kazunari , Ishii, Kenji, Jagust, William J. , Johnson, Sterling C. , Katsumi, Yuta , Kaye, Jeffrey , Koeppe, Robert A. , Kolinger, Guilherme Domingues , Landau, Susan , Landeau, Brigitte , Lao, Patrick , Lee, Sangwon, Lleó, Alberto , Lopresti, Brian J. , Malpetti, Maura , March, Andrew, Masters, Colin L. , Mézenge, Florence, Mormino, Elizabeth C. , Nakamura, Akinori , Nordberg, Agneta , O'Brien, John Tiernan , O’Bryant, Sid E. , Pappas, Ioannis , Quenon, Lisa , Rowe, Christopher Cleon , Rowe, James B. , Rudolph, Marc D. , Salvadó, Gemma , Schott, Jonathan M. , Schwarz, Christopher G. , Shekari, Mahnaz , Silbert, Lisa C. , Smith, Ruben, Sokolowski, Andrzej, Sperling, Reisa Anne , Sun, Pan , Taggett, Jacinda , Toga, Arthur W. , Vaillancourt, David E. , Giessen, Elsmarieke van de , Vemuri, Prashanthi , Villain, Nicolas , Wang, Wei‐en , Weiner, Michael W. , Xie, Fang , Young, Christina B. , Yun, M R

Mayo Clinic

JAMA | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1001/jama.2026.13116 | PMID 42441390 Get It

Importance Amyloid positron emission tomography (PET) is increasingly used in research and clinical settings to determine the etiology of cognitive decline and eligibility for amyloid-targeting therapies. To assist with amyloid PET evaluation and to guide clinical decision-making, images can be quantified in a standardized unit called Centiloid, the interpretation of which can vary according to the method and threshold used. Objective To collect Centiloid values from available studies and determine robust positivity cutoffs using data-driven methods and correspondence with visual reads. Data Sources PubMed search (October 2024) identified studies with Centiloid values. Corresponding authors were invited to share individual participant data. Additional data were obtained through access-controlled repositories and conference outreach (July 2024-July 2025). Study Selection Studies were included if they provided Centiloids, radiotracer, age, and sex. Data Extraction and Synthesis Each study was analyzed using a unified statistical pipeline; study estimates were pooled using random-effects meta-analysis. Main Outcomes and Measures Gaussian mixture models (GMMs) were fitted to Centiloid values for each study. In studies with a bimodal distribution (per integrated completed likelihood), single cutoffs for positivity were set as mean plus 2 SDs of the lower gaussian component. Using GMMs, a double-cutoff approach defined a lower certainty range using a 90% posterior probability cutoff for assignment to the low (amyloid-negative) vs high (amyloid-positive) component. An alternative Centiloid cutoff was derived from maximizing the correspondence (Cohen κ) with the binary visual reads when available. Results This meta-analysis included cross-sectional amyloid PET scans acquired with 5 radiotracers from 49 227 participants across 53 studies from 15 countries (mean age, 71 years; 54% female, 62% cognitively impaired). The data-driven GMM approach identified a bimodal distribution in 51 studies (n = 48 786), resulting in a single cutoff for positivity of 18 Centiloids (95% CI,16-19; I 2 = 97%). The double-cutoff approach revealed high confidence for interpreting scans as negative when Centiloid values were lower than 11 (95% CI, 9-13; I 2 = 95%) and interpreting scans as positive if Centiloid values were higher than 26 (95% CI, 24-28; I 2 = 95%). In analyses of correspondence with binary (positive or negative) visual reads of amyloid PET scans (n = 35 045; 36 studies), Centiloids were highly predictive of visual positivity (Cohen κ, 0.86; 95% CI, 0.83-0.89; I 2 = 96%) with a cutoff of 27 Centiloids (95% CI, 24-30; I 2 = 80%). Conclusions and Relevance In this individual participant data meta-analysis, positivity cutoffs converged around 18 Centiloids (data-driven) and 27 Centiloids (visual reads). Findings from a double-cutoff analysis suggest that scans in the 11 to 26 Centiloid range should be interpreted with caution depending on the context of use.
mRNA COVID-19 Vaccination Following PD-1/PD-L1 Inhibitor Therapy and Survival in Liver Cancer
Liu, L N, Zou, Yuntao, Wang, Yichen, Yan, Yan, Huang, Y N , Sun, Chenyu , Wang, Yichen, Yang, Liu

Mayo Clinic

EMJ Hepatology | July 13, 2026 | Volume: No volume available | Issue: No issue available | Pages: 74

10.33590/emjhepatol/q11x9311 Get It