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Atrial Fibrillation and .

Cardiac electrophysiology clinics

Savio-Galimberti E, Darbar D.
PMID: 25484998
Card Electrophysiol Clin. 2014 Dec 01;6(4):741-748. doi: 10.1016/j.ccep.2014.07.006.

Although atrial fibrillation (AF) is clinically and genetically a highly heterogeneous disease, recent studies suggest that the arrhythmia may arise because of interactions between genetic and acquired risk factors - the so called "double-hit" hypothesis. Genome-wide association studies have...

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Savio-Galimberti E, Darbar D. Atrial Fibrillation and . Card Electrophysiol Clin. 2014;6(4):741-748doi: 10.1016/j.ccep.2014.07.006.
Savio-Galimberti, E., & Darbar, D. (2014). Atrial Fibrillation and . Cardiac electrophysiology clinics, 6(4), 741-748. https://doi.org/10.1016/j.ccep.2014.07.006
Savio-Galimberti, Eleonora, and Darbar, Dawood. "Atrial Fibrillation and ." Cardiac electrophysiology clinics vol. 6,4 (2014): 741-748. doi: https://doi.org/10.1016/j.ccep.2014.07.006
Savio-Galimberti E, Darbar D. Atrial Fibrillation and . Card Electrophysiol Clin. 2014 Dec 01;6(4):741-748. doi: 10.1016/j.ccep.2014.07.006. PMID: 25484998; PMCID: PMC4254730.
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Response.

Chest

Walkey AJ, Winter MR, Benjamin EJ.
PMID: 27157219
Chest. 2016 May;149(5):1348-9. doi: 10.1016/j.chest.2016.02.674.

No abstract available.

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Walkey AJ, Winter MR, Benjamin EJ. Response. Chest. 2016;149(5):1348-9doi: 10.1016/j.chest.2016.02.674.
Walkey, A. J., Winter, M. R., & Benjamin, E. J. (2016). Response. Chest, 149(5), 1348-9. https://doi.org/10.1016/j.chest.2016.02.674
Walkey, Allan J, et al. "Response." Chest vol. 149,5 (2016): 1348-9. doi: https://doi.org/10.1016/j.chest.2016.02.674
Walkey AJ, Winter MR, Benjamin EJ. Response. Chest. 2016 May;149(5):1348-9. doi: 10.1016/j.chest.2016.02.674. PMID: 27157219; PMCID: PMC6026223.
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Global Health and Cardiovascular Disease.

Circulation

Kwan GF, Benjamin EJ.
PMID: 28163326
Circulation. 2015 Sep 29;132(13):1217. doi: 10.1161/CIRCULATIONAHA.115.019226. Epub 2015 Sep 28.

No abstract available.

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Kwan GF, Benjamin EJ. Global Health and Cardiovascular Disease. Circulation. 2015;132(13):1217doi: 10.1161/CIRCULATIONAHA.115.019226.
Kwan, G. F., & Benjamin, E. J. (2015). Global Health and Cardiovascular Disease. Circulation, 132(13), 1217. https://doi.org/10.1161/CIRCULATIONAHA.115.019226
Kwan, Gene F, and Benjamin, Emelia J. "Global Health and Cardiovascular Disease." Circulation vol. 132,13 (2015): 1217. doi: https://doi.org/10.1161/CIRCULATIONAHA.115.019226
Kwan GF, Benjamin EJ. Global Health and Cardiovascular Disease. Circulation. 2015 Sep 29;132(13):1217. doi: 10.1161/CIRCULATIONAHA.115.019226. Epub 2015 Sep 28. PMID: 28163326; PMCID: PMC5288008.
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Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke.

Journal of the American Heart Association

Ashburner JM, Wang X, Li X, Khurshid S, Ko D, Trisini Lipsanopoulos A, Lee PR, Carmichael T, Turner AC, Jackson C, Ellinor PT, Benjamin EJ, Atlas SJ, Singer DE, Trinquart L, Lubitz SA, Anderson CD.
PMID: 34666503
J Am Heart Assoc. 2021 Nov 02;10(21):e022363. doi: 10.1161/JAHA.121.022363. Epub 2021 Oct 20.

Background Performance of existing atrial fibrillation (AF) risk prediction models in poststroke populations is unclear. We evaluated predictive utility of an AF risk model in patients with acute stroke and assessed performance of a fully refitted model. Methods and...

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Ashburner JM, Wang X, Li X, et al. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021;10(21):e022363doi: 10.1161/JAHA.121.022363.
Ashburner, J. M., Wang, X., Li, X., Khurshid, S., Ko, D., Trisini Lipsanopoulos, A., Lee, P. R., Carmichael, T., Turner, A. C., Jackson, C., Ellinor, P. T., Benjamin, E. J., Atlas, S. J., Singer, D. E., Trinquart, L., Lubitz, S. A., & Anderson, C. D. (2021). Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. Journal of the American Heart Association, 10(21), e022363. https://doi.org/10.1161/JAHA.121.022363
Ashburner, Jeffrey M, et al. "Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke." Journal of the American Heart Association vol. 10,21 (2021): e022363. doi: https://doi.org/10.1161/JAHA.121.022363
Ashburner JM, Wang X, Li X, Khurshid S, Ko D, Trisini Lipsanopoulos A, Lee PR, Carmichael T, Turner AC, Jackson C, Ellinor PT, Benjamin EJ, Atlas SJ, Singer DE, Trinquart L, Lubitz SA, Anderson CD. Re-CHARGE-AF: Recalibration of the CHARGE-AF Model for Atrial Fibrillation Risk Prediction in Patients With Acute Stroke. J Am Heart Assoc. 2021 Nov 02;10(21):e022363. doi: 10.1161/JAHA.121.022363. Epub 2021 Oct 20. PMID: 34666503; PMCID: PMC8751842.
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Deep learning enables genetic analysis of the human thoracic aorta.

Nature genetics

Pirruccello JP, Chaffin MD, Chou EL, Fleming SJ, Lin H, Nekoui M, Khurshid S, Friedman SF, Bick AG, Arduini A, Weng LC, Choi SH, Akkad AD, Batra P, Tucker NR, Hall AW, Roselli C, Benjamin EJ, Vellarikkal SK, Gupta RM, Stegmann CM, Juric D, Stone JR, Vasan RS, Ho JE, Hoffmann U, Lubitz SA, Philippakis AA, Lindsay ME, Ellinor PT.
PMID: 34837083
Nat Genet. 2022 Jan;54(1):40-51. doi: 10.1038/s41588-021-00962-4. Epub 2021 Nov 26.

Enlargement or aneurysm of the aorta predisposes to dissection, an important cause of sudden death. We trained a deep learning model to evaluate the dimensions of the ascending and descending thoracic aorta in 4.6 million cardiac magnetic resonance images...

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Pirruccello JP, Chaffin MD, Chou EL, et al. Deep learning enables genetic analysis of the human thoracic aorta. Nat Genet. 2021;54(1):40-51doi: 10.1038/s41588-021-00962-4.
Pirruccello, J. P., Chaffin, M. D., Chou, E. L., Fleming, S. J., Lin, H., Nekoui, M., Khurshid, S., Friedman, S. F., Bick, A. G., Arduini, A., Weng, L. C., Choi, S. H., Akkad, A. D., Batra, P., Tucker, N. R., Hall, A. W., Roselli, C., Benjamin, E. J., Vellarikkal, S. K., Gupta, R. M., Stegmann, C. M., Juric, D., Stone, J. R., Vasan, R. S., Ho, J. E., Hoffmann, U., Lubitz, S. A., Philippakis, A. A., Lindsay, M. E., & Ellinor, P. T. (2022). Deep learning enables genetic analysis of the human thoracic aorta. Nature genetics, 54(1), 40-51. https://doi.org/10.1038/s41588-021-00962-4
Pirruccello, James P, et al. "Deep learning enables genetic analysis of the human thoracic aorta." Nature genetics vol. 54,1 (2022): 40-51. doi: https://doi.org/10.1038/s41588-021-00962-4
Pirruccello JP, Chaffin MD, Chou EL, Fleming SJ, Lin H, Nekoui M, Khurshid S, Friedman SF, Bick AG, Arduini A, Weng LC, Choi SH, Akkad AD, Batra P, Tucker NR, Hall AW, Roselli C, Benjamin EJ, Vellarikkal SK, Gupta RM, Stegmann CM, Juric D, Stone JR, Vasan RS, Ho JE, Hoffmann U, Lubitz SA, Philippakis AA, Lindsay ME, Ellinor PT. Deep learning enables genetic analysis of the human thoracic aorta. Nat Genet. 2022 Jan;54(1):40-51. doi: 10.1038/s41588-021-00962-4. Epub 2021 Nov 26. PMID: 34837083; PMCID: PMC8758523.
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Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management.

Circulation. Arrhythmia and electrophysiology

Chung MK, Fagerlin A, Wang PJ, Ajayi TB, Allen LA, Baykaner T, Benjamin EJ, Branda M, Cavanaugh KL, Chen LY, Crossley GH, Delaney RK, Eckhardt LL, Grady KL, Hargraves IG, True Hills M, Kalscheur MM, Kramer DB, Kunneman M, Lampert R, Langford AT, Lewis KB, Lu Y, Mandrola JM, Martinez K, Matlock DD, McCarthy SR, Montori VM, Noseworthy PA, Orland KM, Ozanne E, Passman R, Pundi K, Roden DM, Saarel EV, Schmidt MM, Sears SF, Stacey D, Stafford RS, Steinberg BA, Youn Wass S, Wright JM.
PMID: 34865518
Circ Arrhythm Electrophysiol. 2021 Dec;14(12):e007958. doi: 10.1161/CIRCEP.121.007958. Epub 2021 Dec 06.

Shared decision making (SDM) has been advocated to improve patient care, patient decision acceptance, patient-provider communication, patient motivation, adherence, and patient reported outcomes. Documentation of SDM is endorsed in several society guidelines and is a condition of reimbursement for...

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Chung MK, Fagerlin A, Wang PJ, et al. Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management. Circ Arrhythm Electrophysiol. 2021;14(12):e007958doi: 10.1161/CIRCEP.121.007958.
Chung, M. K., Fagerlin, A., Wang, P. J., Ajayi, T. B., Allen, L. A., Baykaner, T., Benjamin, E. J., Branda, M., Cavanaugh, K. L., Chen, L. Y., Crossley, G. H., Delaney, R. K., Eckhardt, L. L., Grady, K. L., Hargraves, I. G., True Hills, M., Kalscheur, M. M., Kramer, D. B., Kunneman, M., Lampert, R., Langford, A. T., Lewis, K. B., Lu, Y., Mandrola, J. M., Martinez, K., Matlock, D. D., McCarthy, S. R., Montori, V. M., Noseworthy, P. A., Orland, K. M., Ozanne, E., Passman, R., Pundi, K., Roden, D. M., Saarel, E. V., Schmidt, M. M., Sears, S. F., Stacey, D., Stafford, R. S., Steinberg, B. A., Youn Wass, S., & Wright, J. M. (2021). Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management. Circulation. Arrhythmia and electrophysiology, 14(12), e007958. https://doi.org/10.1161/CIRCEP.121.007958
Chung, Mina K, et al. "Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management." Circulation. Arrhythmia and electrophysiology vol. 14,12 (2021): e007958. doi: https://doi.org/10.1161/CIRCEP.121.007958
Chung MK, Fagerlin A, Wang PJ, Ajayi TB, Allen LA, Baykaner T, Benjamin EJ, Branda M, Cavanaugh KL, Chen LY, Crossley GH, Delaney RK, Eckhardt LL, Grady KL, Hargraves IG, True Hills M, Kalscheur MM, Kramer DB, Kunneman M, Lampert R, Langford AT, Lewis KB, Lu Y, Mandrola JM, Martinez K, Matlock DD, McCarthy SR, Montori VM, Noseworthy PA, Orland KM, Ozanne E, Passman R, Pundi K, Roden DM, Saarel EV, Schmidt MM, Sears SF, Stacey D, Stafford RS, Steinberg BA, Youn Wass S, Wright JM. Shared Decision Making in Cardiac Electrophysiology Procedures and Arrhythmia Management. Circ Arrhythm Electrophysiol. 2021 Dec;14(12):e007958. doi: 10.1161/CIRCEP.121.007958. Epub 2021 Dec 06. PMID: 34865518; PMCID: PMC8692382.
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[No title available]

Blood cancer discovery

Beauchamp EM, Leventhal M, Bernard E, Hoppe ER, Todisco G, Creignou M, Gallì A, Castellano CA, McConkey M, Tarun A, Wong W, Schenone M, Stanclift C, Tanenbaum B, Malolepsza E, Nilsson B, Bick AG, Weinstock JS, Miller M, Niroula A, Dunford A, Taylor-Weiner A, Wood T, Barbera A, Anand S, Psaty BM, Desai P, Cho MH, Johnson AD, Loos R, MacArthur DG, Lek M, Neuberg DS, Lage K, Carr SA, Hellstrom-Lindberg E, Malcovati L, Papaemmanuil E, Stewart C, Getz G, Bradley RK, Jaiswal S, Ebert BL.
PMID: 34568833
Blood Cancer Discov. 2021 Sep;2(5):500-517. doi: 10.1158/2643-3230.BCD-20-0224. Epub 2021 Jul 14.

Clonal hematopoiesis results from somatic mutations in cancer driver genes in hematopoietic stem cells. We sought to identify novel drivers of clonal expansion using an unbiased analysis of sequencing data from 84,683 persons and identified common mutations in the...

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Beauchamp EM, Leventhal M, Bernard E, et al. . Blood Cancer Discov. 2021;2(5):500-517doi: 10.1158/2643-3230.BCD-20-0224.
Beauchamp, E. M., Leventhal, M., Bernard, E., Hoppe, E. R., Todisco, G., Creignou, M., Gallì, A., Castellano, C. A., McConkey, M., Tarun, A., Wong, W., Schenone, M., Stanclift, C., Tanenbaum, B., Malolepsza, E., Nilsson, B., Bick, A. G., Weinstock, J. S., Miller, M., Niroula, A., Dunford, A., Taylor-Weiner, A., Wood, T., Barbera, A., Anand, S., Psaty, B. M., Desai, P., Cho, M. H., Johnson, A. D., Loos, R., MacArthur, D. G., Lek, M., Neuberg, D. S., Lage, K., Carr, S. A., Hellstrom-Lindberg, E., Malcovati, L., Papaemmanuil, E., Stewart, C., Getz, G., Bradley, R. K., Jaiswal, S., & Ebert, B. L. (2021). . Blood cancer discovery, 2(5), 500-517. https://doi.org/10.1158/2643-3230.BCD-20-0224
Beauchamp, Ellen M, et al. "." Blood cancer discovery vol. 2,5 (2021): 500-517. doi: https://doi.org/10.1158/2643-3230.BCD-20-0224
Beauchamp EM, Leventhal M, Bernard E, Hoppe ER, Todisco G, Creignou M, Gallì A, Castellano CA, McConkey M, Tarun A, Wong W, Schenone M, Stanclift C, Tanenbaum B, Malolepsza E, Nilsson B, Bick AG, Weinstock JS, Miller M, Niroula A, Dunford A, Taylor-Weiner A, Wood T, Barbera A, Anand S, Psaty BM, Desai P, Cho MH, Johnson AD, Loos R, MacArthur DG, Lek M, Neuberg DS, Lage K, Carr SA, Hellstrom-Lindberg E, Malcovati L, Papaemmanuil E, Stewart C, Getz G, Bradley RK, Jaiswal S, Ebert BL. . Blood Cancer Discov. 2021 Sep;2(5):500-517. doi: 10.1158/2643-3230.BCD-20-0224. Epub 2021 Jul 14. PMID: 34568833; PMCID: PMC8462124.
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Social determinants of atrial fibrillation.

Nature reviews. Cardiology

Essien UR, Kornej J, Johnson AE, Schulson LB, Benjamin EJ, Magnani JW.
PMID: 34079095
Nat Rev Cardiol. 2021 Nov;18(11):763-773. doi: 10.1038/s41569-021-00561-0. Epub 2021 Jun 02.

Atrial fibrillation affects almost 60 million adults worldwide. Atrial fibrillation is associated with a high risk of cardiovascular morbidity and death as well as with social, psychological and economic burdens on patients and their families. Social determinants - such...

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Essien UR, Kornej J, Johnson AE, et al. Social determinants of atrial fibrillation. Nat Rev Cardiol. 2021;18(11):763-773doi: 10.1038/s41569-021-00561-0.
Essien, U. R., Kornej, J., Johnson, A. E., Schulson, L. B., Benjamin, E. J., & Magnani, J. W. (2021). Social determinants of atrial fibrillation. Nature reviews. Cardiology, 18(11), 763-773. https://doi.org/10.1038/s41569-021-00561-0
Essien, Utibe R, et al. "Social determinants of atrial fibrillation." Nature reviews. Cardiology vol. 18,11 (2021): 763-773. doi: https://doi.org/10.1038/s41569-021-00561-0
Essien UR, Kornej J, Johnson AE, Schulson LB, Benjamin EJ, Magnani JW. Social determinants of atrial fibrillation. Nat Rev Cardiol. 2021 Nov;18(11):763-773. doi: 10.1038/s41569-021-00561-0. Epub 2021 Jun 02. PMID: 34079095; PMCID: PMC8516747.
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Racial and Ethnic Considerations in Patients With Atrial Fibrillation: JACC Focus Seminar 5/9.

Journal of the American College of Cardiology

Norby FL, Benjamin EJ, Alonso A, Chugh SS.
PMID: 34887142
J Am Coll Cardiol. 2021 Dec 21;78(25):2563-2572. doi: 10.1016/j.jacc.2021.04.110.

Atrial fibrillation (AF) affects at least 60 million individuals globally and is associated with substantial impacts on morbidity, mortality, and health care expenditures. This review focuses on how race and ethnicity influence AF epidemiology, risk prediction, treatment, and outcomes;...

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Norby FL, Benjamin EJ, Alonso A, et al. Racial and Ethnic Considerations in Patients With Atrial Fibrillation: JACC Focus Seminar 5/9. J Am Coll Cardiol. 2021;78(25):2563-2572doi: 10.1016/j.jacc.2021.04.110.
Norby, F. L., Benjamin, E. J., Alonso, A., & Chugh, S. S. (2021). Racial and Ethnic Considerations in Patients With Atrial Fibrillation: JACC Focus Seminar 5/9. Journal of the American College of Cardiology, 78(25), 2563-2572. https://doi.org/10.1016/j.jacc.2021.04.110
Norby, Faye L, et al. "Racial and Ethnic Considerations in Patients With Atrial Fibrillation: JACC Focus Seminar 5/9." Journal of the American College of Cardiology vol. 78,25 (2021): 2563-2572. doi: https://doi.org/10.1016/j.jacc.2021.04.110
Norby FL, Benjamin EJ, Alonso A, Chugh SS. Racial and Ethnic Considerations in Patients With Atrial Fibrillation: JACC Focus Seminar 5/9. J Am Coll Cardiol. 2021 Dec 21;78(25):2563-2572. doi: 10.1016/j.jacc.2021.04.110. PMID: 34887142.
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Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model.

Journal of the American Heart Association

Khurshid S, Chen W, Singer DE, Atlas SJ, Ashburner JM, Choi JG, Hur C, Ellinor PT, McManus DD, Chhatwal J, Lubitz SA.
PMID: 34476979
J Am Heart Assoc. 2021 Sep 21;10(18):e020330. doi: 10.1161/JAHA.120.020330. Epub 2021 Sep 03.

Background Atrial fibrillation (AF) screening is endorsed by certain guidelines for individuals aged ≥65 years. Yet many AF screening strategies exist, including the use of wrist-worn wearable devices, and their comparative effectiveness is not well-understood. Methods and Results We...

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Khurshid S, Chen W, Singer DE, et al. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021;10(18):e020330doi: 10.1161/JAHA.120.020330.
Khurshid, S., Chen, W., Singer, D. E., Atlas, S. J., Ashburner, J. M., Choi, J. G., Hur, C., Ellinor, P. T., McManus, D. D., Chhatwal, J., & Lubitz, S. A. (2021). Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. Journal of the American Heart Association, 10(18), e020330. https://doi.org/10.1161/JAHA.120.020330
Khurshid, Shaan, et al. "Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model." Journal of the American Heart Association vol. 10,18 (2021): e020330. doi: https://doi.org/10.1161/JAHA.120.020330
Khurshid S, Chen W, Singer DE, Atlas SJ, Ashburner JM, Choi JG, Hur C, Ellinor PT, McManus DD, Chhatwal J, Lubitz SA. Comparative Clinical Effectiveness of Population-Based Atrial Fibrillation Screening Using Contemporary Modalities: A Decision-Analytic Model. J Am Heart Assoc. 2021 Sep 21;10(18):e020330. doi: 10.1161/JAHA.120.020330. Epub 2021 Sep 03. PMID: 34476979; PMCID: PMC8649502.
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Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study.

Journal of medical Internet research

Pathiravasan CH, Zhang Y, Trinquart L, Benjamin EJ, Borrelli B, McManus DD, Kheterpal V, Lin H, Sardana M, Hammond MM, Spartano NL, Dunn AL, Schramm E, Nowak C, Manders ES, Liu H, Kornej J, Liu C, Murabito JM.
PMID: 33470944
J Med Internet Res. 2021 Jan 20;23(1):e24773. doi: 10.2196/24773.

BACKGROUND: eCohort studies offer an efficient approach for data collection. However, eCohort studies are challenged by volunteer bias and low adherence. We designed an eCohort embedded in the Framingham Heart Study (eFHS) to address these challenges and to compare...

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Pathiravasan CH, Zhang Y, Trinquart L, et al. Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. J Med Internet Res. 2021;23(1):e24773doi: 10.2196/24773.
Pathiravasan, C. H., Zhang, Y., Trinquart, L., Benjamin, E. J., Borrelli, B., McManus, D. D., Kheterpal, V., Lin, H., Sardana, M., Hammond, M. M., Spartano, N. L., Dunn, A. L., Schramm, E., Nowak, C., Manders, E. S., Liu, H., Kornej, J., Liu, C., & Murabito, J. M. (2021). Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. Journal of medical Internet research, 23(1), e24773. https://doi.org/10.2196/24773
Pathiravasan, Chathurangi H, et al. "Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study." Journal of medical Internet research vol. 23,1 (2021): e24773. doi: https://doi.org/10.2196/24773
Pathiravasan CH, Zhang Y, Trinquart L, Benjamin EJ, Borrelli B, McManus DD, Kheterpal V, Lin H, Sardana M, Hammond MM, Spartano NL, Dunn AL, Schramm E, Nowak C, Manders ES, Liu H, Kornej J, Liu C, Murabito JM. Adherence of Mobile App-Based Surveys and Comparison With Traditional Surveys: eCohort Study. J Med Internet Res. 2021 Jan 20;23(1):e24773. doi: 10.2196/24773. PMID: 33470944; PMCID: PMC7857942.
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[No title available]

Blood cancer discovery

Beauchamp EM, Leventhal M, Bernard E, Hoppe ER, Todisco G, Creignou M, Gallì A, Castellano CA, McConkey M, Tarun A, Wong W, Schenone M, Stanclift C, Tanenbaum B, Malolepsza E, Nilsson B, Bick AG, Weinstock JS, Miller M, Niroula A, Dunford A, Taylor-Weiner A, Wood T, Barbera A, Anand S, Psaty BM, Desai P, Cho MH, Johnson AD, Loos R, MacArthur DG, Lek M, Neuberg DS, Lage K, Carr SA, Hellstrom-Lindberg E, Malcovati L, Papaemmanuil E, Stewart C, Getz G, Bradley RK, Jaiswal S, Ebert BL.
PMID: 34568833
Blood Cancer Discov. 2021 Sep;2(5):500-517. doi: 10.1158/2643-3230.BCD-20-0224. Epub 2021 Jul 14.

Clonal hematopoiesis results from somatic mutations in cancer driver genes in hematopoietic stem cells. We sought to identify novel drivers of clonal expansion using an unbiased analysis of sequencing data from 84,683 persons and identified common mutations in the...

Cite
Beauchamp EM, Leventhal M, Bernard E, et al. . Blood Cancer Discov. 2021;2(5):500-517doi: 10.1158/2643-3230.BCD-20-0224.
Beauchamp, E. M., Leventhal, M., Bernard, E., Hoppe, E. R., Todisco, G., Creignou, M., Gallì, A., Castellano, C. A., McConkey, M., Tarun, A., Wong, W., Schenone, M., Stanclift, C., Tanenbaum, B., Malolepsza, E., Nilsson, B., Bick, A. G., Weinstock, J. S., Miller, M., Niroula, A., Dunford, A., Taylor-Weiner, A., Wood, T., Barbera, A., Anand, S., Psaty, B. M., Desai, P., Cho, M. H., Johnson, A. D., Loos, R., MacArthur, D. G., Lek, M., Neuberg, D. S., Lage, K., Carr, S. A., Hellstrom-Lindberg, E., Malcovati, L., Papaemmanuil, E., Stewart, C., Getz, G., Bradley, R. K., Jaiswal, S., & Ebert, B. L. (2021). . Blood cancer discovery, 2(5), 500-517. https://doi.org/10.1158/2643-3230.BCD-20-0224
Beauchamp, Ellen M, et al. "." Blood cancer discovery vol. 2,5 (2021): 500-517. doi: https://doi.org/10.1158/2643-3230.BCD-20-0224
Beauchamp EM, Leventhal M, Bernard E, Hoppe ER, Todisco G, Creignou M, Gallì A, Castellano CA, McConkey M, Tarun A, Wong W, Schenone M, Stanclift C, Tanenbaum B, Malolepsza E, Nilsson B, Bick AG, Weinstock JS, Miller M, Niroula A, Dunford A, Taylor-Weiner A, Wood T, Barbera A, Anand S, Psaty BM, Desai P, Cho MH, Johnson AD, Loos R, MacArthur DG, Lek M, Neuberg DS, Lage K, Carr SA, Hellstrom-Lindberg E, Malcovati L, Papaemmanuil E, Stewart C, Getz G, Bradley RK, Jaiswal S, Ebert BL. . Blood Cancer Discov. 2021 Sep;2(5):500-517. doi: 10.1158/2643-3230.BCD-20-0224. Epub 2021 Jul 14. PMID: 34568833; PMCID: PMC8462124.
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