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Showing 2737 to 2739 of 2739 entries
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Internet Claims on the Health Benefits of Cannabis Use.

Journal of general internal medicine

Lau N, Gerson M, Korenstein D, Keyhani S.
PMID: 33742301
J Gen Intern Med. 2021 Nov;36(11):3611-3614. doi: 10.1007/s11606-020-06421-w. Epub 2021 Mar 19.

No abstract available.

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Lau N, Gerson M, Korenstein D, et al. Internet Claims on the Health Benefits of Cannabis Use. J Gen Intern Med. 2021;36(11):3611-3614doi: 10.1007/s11606-020-06421-w.
Lau, N., Gerson, M., Korenstein, D., & Keyhani, S. (2021). Internet Claims on the Health Benefits of Cannabis Use. Journal of general internal medicine, 36(11), 3611-3614. https://doi.org/10.1007/s11606-020-06421-w
Lau, Nicholas, et al. "Internet Claims on the Health Benefits of Cannabis Use." Journal of general internal medicine vol. 36,11 (2021): 3611-3614. doi: https://doi.org/10.1007/s11606-020-06421-w
Lau N, Gerson M, Korenstein D, Keyhani S. Internet Claims on the Health Benefits of Cannabis Use. J Gen Intern Med. 2021 Nov;36(11):3611-3614. doi: 10.1007/s11606-020-06421-w. Epub 2021 Mar 19. PMID: 33742301; PMCID: PMC8606495.
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Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study.

JMIR medical informatics

Jeon H, You SC, Kang SY, Seo SI, Warner JL, Belenkaya R, Park RW.
PMID: 33720842
JMIR Med Inform. 2021 Apr 06;9(4):e25035. doi: 10.2196/25035.

BACKGROUND: Accurate and rapid clinical decisions based on real-world evidence are essential for patients with cancer. However, the complexity of chemotherapy regimens for cancer impedes retrospective research that uses observational health databases.OBJECTIVE: The aim of this study is to...

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Jeon H, You SC, Kang SY, et al. Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study. JMIR Med Inform. 2021;9(4):e25035doi: 10.2196/25035.
Jeon, H., You, S. C., Kang, S. Y., Seo, S. I., Warner, J. L., Belenkaya, R., & Park, R. W. (2021). Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study. JMIR medical informatics, 9(4), e25035. https://doi.org/10.2196/25035
Jeon, Hokyun, et al. "Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study." JMIR medical informatics vol. 9,4 (2021): e25035. doi: https://doi.org/10.2196/25035
Jeon H, You SC, Kang SY, Seo SI, Warner JL, Belenkaya R, Park RW. Characterizing the Anticancer Treatment Trajectory and Pattern in Patients Receiving Chemotherapy for Cancer Using Harmonized Observational Databases: Retrospective Study. JMIR Med Inform. 2021 Apr 06;9(4):e25035. doi: 10.2196/25035. PMID: 33720842; PMCID: PMC8058693.
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Next-Generation Sequencing of 487 Esophageal Adenocarcinomas Reveals Independently Prognostic Genomic Driver Alterations and Pathways.

Clinical cancer research : an official journal of the American Association for Cancer Research

Sihag S, Nussenzweig SC, Walch HS, Hsu M, Tan KS, Sanchez-Vega F, Chatila WK, De La Torre SA, Patel A, Janjigian YY, Maron S, Ku GY, Tang LH, Hechtman J, Shah PM, Wu AJ, Jones DR, Molena D, Solit DB, Schultz N, Berger MF.
PMID: 33795256
Clin Cancer Res. 2021 Jun 15;27(12):3491-3498. doi: 10.1158/1078-0432.CCR-20-4707. Epub 2021 Apr 01.

PURPOSE: To delineate recurrent oncogenic driver alterations and dysregulated pathways in esophageal adenocarcinoma and to assess their prognostic value.EXPERIMENTAL DESIGN: We analyzed a large cohort of patients with lower esophageal and junctional adenocarcinoma, prospectively sequenced by MSK-IMPACT with high-quality...

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Sihag S, Nussenzweig SC, Walch HS, et al. Next-Generation Sequencing of 487 Esophageal Adenocarcinomas Reveals Independently Prognostic Genomic Driver Alterations and Pathways. Clin Cancer Res. 2021;27(12):3491-3498doi: 10.1158/1078-0432.CCR-20-4707.
Sihag, S., Nussenzweig, S. C., Walch, H. S., Hsu, M., Tan, K. S., Sanchez-Vega, F., Chatila, W. K., De La Torre, S. A., Patel, A., Janjigian, Y. Y., Maron, S., Ku, G. Y., Tang, L. H., Hechtman, J., Shah, P. M., Wu, A. J., Jones, D. R., Molena, D., Solit, D. B., Schultz, N., & Berger, M. F. (2021). Next-Generation Sequencing of 487 Esophageal Adenocarcinomas Reveals Independently Prognostic Genomic Driver Alterations and Pathways. Clinical cancer research : an official journal of the American Association for Cancer Research, 27(12), 3491-3498. https://doi.org/10.1158/1078-0432.CCR-20-4707
Sihag, Smita, et al. "Next-Generation Sequencing of 487 Esophageal Adenocarcinomas Reveals Independently Prognostic Genomic Driver Alterations and Pathways." Clinical cancer research : an official journal of the American Association for Cancer Research vol. 27,12 (2021): 3491-3498. doi: https://doi.org/10.1158/1078-0432.CCR-20-4707
Sihag S, Nussenzweig SC, Walch HS, Hsu M, Tan KS, Sanchez-Vega F, Chatila WK, De La Torre SA, Patel A, Janjigian YY, Maron S, Ku GY, Tang LH, Hechtman J, Shah PM, Wu AJ, Jones DR, Molena D, Solit DB, Schultz N, Berger MF. Next-Generation Sequencing of 487 Esophageal Adenocarcinomas Reveals Independently Prognostic Genomic Driver Alterations and Pathways. Clin Cancer Res. 2021 Jun 15;27(12):3491-3498. doi: 10.1158/1078-0432.CCR-20-4707. Epub 2021 Apr 01. PMID: 33795256; PMCID: PMC8228505.
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Showing 2737 to 2739 of 2739 entries