Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 34 entries
Sorted by: Best Match Show Resources per page
The Collaborative Lithium Trials (CoLT): specific aims, methods, and implementation.

Child and adolescent psychiatry and mental health

Findling RL, Frazier JA, Kafantaris V, Kowatch R, McClellan J, Pavuluri M, Sikich L, Hlastala S, Hooper SR, Demeter CA, Bedoya D, Brownstein B, Taylor-Zapata P.
PMID: 18700004
Child Adolesc Psychiatry Ment Health. 2008 Aug 12;2(1):21. doi: 10.1186/1753-2000-2-21.

BACKGROUND: Lithium is a benchmark treatment for bipolar illness in adults. However, there has been relatively little methodologically stringent research regarding the use of lithium in youth suffering from bipolarity.METHODS: Under the auspices of the Best Pharmaceuticals for Children...

Cite
Findling RL, Frazier JA, Kafantaris V, et al. The Collaborative Lithium Trials (CoLT): specific aims, methods, and implementation. Child Adolesc Psychiatry Ment Health. 2008;2(1):21doi: 10.1186/1753-2000-2-21.
Findling, R. L., Frazier, J. A., Kafantaris, V., Kowatch, R., McClellan, J., Pavuluri, M., Sikich, L., Hlastala, S., Hooper, S. R., Demeter, C. A., Bedoya, D., Brownstein, B., & Taylor-Zapata, P. (2008). The Collaborative Lithium Trials (CoLT): specific aims, methods, and implementation. Child and adolescent psychiatry and mental health, 2(1), 21. https://doi.org/10.1186/1753-2000-2-21
Findling, Robert L, et al. "The Collaborative Lithium Trials (CoLT): specific aims, methods, and implementation." Child and adolescent psychiatry and mental health vol. 2,1 (2008): 21. doi: https://doi.org/10.1186/1753-2000-2-21
Findling RL, Frazier JA, Kafantaris V, Kowatch R, McClellan J, Pavuluri M, Sikich L, Hlastala S, Hooper SR, Demeter CA, Bedoya D, Brownstein B, Taylor-Zapata P. The Collaborative Lithium Trials (CoLT): specific aims, methods, and implementation. Child Adolesc Psychiatry Ment Health. 2008 Aug 12;2(1):21. doi: 10.1186/1753-2000-2-21. PMID: 18700004; PMCID: PMC2531078.
Copy Download .nbib Format: NLM
The warfarin-cranberry juice interaction revisited: A systematic in vitro-in vivo evaluation.

Journal of experimental pharmacology

Ngo N, Brantley SJ, Carrizosa DR, Kashuba AD, Dees EC, Kroll DJ, Oberlies NH, Paine MF.
PMID: 20865058
J Exp Pharmacol. 2010 Jul;2010(2):83-91. doi: 10.2147/JEP.S11719.

BACKGROUND: Cranberry products have been implicated in several case reports to enhance the anticoagulant effect of warfarin. The mechanism could involve inhibition of the hepatic CYP2C9-mediated metabolic clearance of warfarin by components in cranberry. Because dietary/natural substances vary substantially...

Cite
Ngo N, Brantley SJ, Carrizosa DR, et al. The warfarin-cranberry juice interaction revisited: A systematic in vitro-in vivo evaluation. J Exp Pharmacol. 2010;2010(2):83-91doi: 10.2147/JEP.S11719.
Ngo, N., Brantley, S. J., Carrizosa, D. R., Kashuba, A. D., Dees, E. C., Kroll, D. J., Oberlies, N. H., & Paine, M. F. (2010). The warfarin-cranberry juice interaction revisited: A systematic in vitro-in vivo evaluation. Journal of experimental pharmacology, 2010(2), 83-91. https://doi.org/10.2147/JEP.S11719
Ngo, Ngoc, et al. "The warfarin-cranberry juice interaction revisited: A systematic in vitro-in vivo evaluation." Journal of experimental pharmacology vol. 2010,2 (2010): 83-91. doi: https://doi.org/10.2147/JEP.S11719
Ngo N, Brantley SJ, Carrizosa DR, Kashuba AD, Dees EC, Kroll DJ, Oberlies NH, Paine MF. The warfarin-cranberry juice interaction revisited: A systematic in vitro-in vivo evaluation. J Exp Pharmacol. 2010 Jul;2010(2):83-91. doi: 10.2147/JEP.S11719. PMID: 20865058; PMCID: PMC2943398.
Copy Download .nbib Format: NLM
Towards an Understanding of Change in Physical Activity from Pregnancy Through Postpartum.

Psychology of sport and exercise

Evenson KR.
PMID: 21278835
Psychol Sport Exerc. 2011 Jan;12(1):36-45. doi: 10.1016/j.psychsport.2010.04.010.

OBJECTIVE: The purpose of this paper was to describe the rationale, data collection, and proposed analyses for examination of mediators of change in physical activity from pregnancy to postpartum among a cohort of pregnant women. METHOD: The Pregnancy Infection...

Cite
Evenson KR. Towards an Understanding of Change in Physical Activity from Pregnancy Through Postpartum. Psychol Sport Exerc. 2011;12(1):36-45doi: 10.1016/j.psychsport.2010.04.010.
Evenson, K. R. (2011). Towards an Understanding of Change in Physical Activity from Pregnancy Through Postpartum. Psychology of sport and exercise, 12(1), 36-45. https://doi.org/10.1016/j.psychsport.2010.04.010
Evenson, Kelly R. "Towards an Understanding of Change in Physical Activity from Pregnancy Through Postpartum." Psychology of sport and exercise vol. 12,1 (2011): 36-45. doi: https://doi.org/10.1016/j.psychsport.2010.04.010
Evenson KR. Towards an Understanding of Change in Physical Activity from Pregnancy Through Postpartum. Psychol Sport Exerc. 2011 Jan;12(1):36-45. doi: 10.1016/j.psychsport.2010.04.010. PMID: 21278835; PMCID: PMC3026572.
Copy Download .nbib Format: NLM
Associations between Body Composition, Hormonal and Lifestyle Factors, Bone Turnover, and BMD.

Journal of bone metabolism

Gourlay ML, Hammett-Stabler CA, Renner JB, Rubin JE.
PMID: 24707468
J Bone Metab. 2014 Feb;21(1):61-8. doi: 10.11005/jbm.2014.21.1.61. Epub 2014 Feb 28.

BACKGROUND: The relative importance of body composition, lifestyle factors, bone turnover and hormonal factors in determining bone mineral density (BMD) is unknown. We studied younger postmenopausal women to determine whether modifiable or nonmodifiable risk factors for osteoporosis have stronger...

Cite
Gourlay ML, Hammett-Stabler CA, Renner JB, et al. Associations between Body Composition, Hormonal and Lifestyle Factors, Bone Turnover, and BMD. J Bone Metab. 2014;21(1):61-8doi: 10.11005/jbm.2014.21.1.61.
Gourlay, M. L., Hammett-Stabler, C. A., Renner, J. B., & Rubin, J. E. (2014). Associations between Body Composition, Hormonal and Lifestyle Factors, Bone Turnover, and BMD. Journal of bone metabolism, 21(1), 61-8. https://doi.org/10.11005/jbm.2014.21.1.61
Gourlay, Margaret L, et al. "Associations between Body Composition, Hormonal and Lifestyle Factors, Bone Turnover, and BMD." Journal of bone metabolism vol. 21,1 (2014): 61-8. doi: https://doi.org/10.11005/jbm.2014.21.1.61
Gourlay ML, Hammett-Stabler CA, Renner JB, Rubin JE. Associations between Body Composition, Hormonal and Lifestyle Factors, Bone Turnover, and BMD. J Bone Metab. 2014 Feb;21(1):61-8. doi: 10.11005/jbm.2014.21.1.61. Epub 2014 Feb 28. PMID: 24707468; PMCID: PMC3970292.
Copy Download .nbib Format: NLM
Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging.

Journal of the American Statistical Association

Lee S, Shen H, Truong Y, Lewis M, Huang X.
PMID: 27524847
J Am Stat Assoc. 2011;106(495):1009-1024. doi: 10.1198/jasa.2011.tm10332. Epub 2012 Jan 24.

Independent component analysis (ICA) is an effective data-driven method for blind source separation. It has been successfully applied to separate source signals of interest from their mixtures. Most existing ICA procedures are carried out by relying solely on the...

Cite
Lee S, Shen H, Truong Y, et al. Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging. J Am Stat Assoc. 2012;106(495):1009-1024doi: 10.1198/jasa.2011.tm10332.
Lee, S., Shen, H., Truong, Y., Lewis, M., & Huang, X. (2011). Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging. Journal of the American Statistical Association, 106(495), 1009-1024. https://doi.org/10.1198/jasa.2011.tm10332
Lee, Seonjoo, et al. "Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging." Journal of the American Statistical Association vol. 106,495 (2011): 1009-1024. doi: https://doi.org/10.1198/jasa.2011.tm10332
Lee S, Shen H, Truong Y, Lewis M, Huang X. Independent Component Analysis Involving Autocorrelated Sources With an Application to Functional Magnetic Resonance Imaging. J Am Stat Assoc. 2011;106(495):1009-1024. doi: 10.1198/jasa.2011.tm10332. Epub 2012 Jan 24. PMID: 27524847; PMCID: PMC4979078.
Copy Download .nbib Format: NLM
Short-term repeatability of the peguero-lo presti electrocardiographic left ventricular hypertrophy criteria.

Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc

Drager D, Soliman EZ, Meyer ML, Zhang ZM, Alonso A, Heiss G, Whitsel EA.
PMID: 33591619
Ann Noninvasive Electrocardiol. 2021 May;26(3):e12829. doi: 10.1111/anec.12829. Epub 2021 Feb 16.

BACKGROUND: Electrocardiographic left ventricular hypertrophy (ECG-LVH) represents preclinical cardiovascular disease and predicts cardiovascular disease morbidity and mortality. While the newly developed Peguero-Lo Presti ECG-LVH criteria have greater sensitivity for LVH than the Cornell voltage and Sokolow-Lyon criteria, its short-term...

Cite
Drager D, Soliman EZ, Meyer ML, et al. Short-term repeatability of the peguero-lo presti electrocardiographic left ventricular hypertrophy criteria. Ann Noninvasive Electrocardiol. 2021;26(3):e12829doi: 10.1111/anec.12829.
Drager, D., Soliman, E. Z., Meyer, M. L., Zhang, Z. M., Alonso, A., Heiss, G., & Whitsel, E. A. (2021). Short-term repeatability of the peguero-lo presti electrocardiographic left ventricular hypertrophy criteria. Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 26(3), e12829. https://doi.org/10.1111/anec.12829
Drager, Dominique, et al. "Short-term repeatability of the peguero-lo presti electrocardiographic left ventricular hypertrophy criteria." Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc vol. 26,3 (2021): e12829. doi: https://doi.org/10.1111/anec.12829
Drager D, Soliman EZ, Meyer ML, Zhang ZM, Alonso A, Heiss G, Whitsel EA. Short-term repeatability of the peguero-lo presti electrocardiographic left ventricular hypertrophy criteria. Ann Noninvasive Electrocardiol. 2021 May;26(3):e12829. doi: 10.1111/anec.12829. Epub 2021 Feb 16. PMID: 33591619; PMCID: PMC8164147.
Copy Download .nbib Format: NLM
What started your labor? Responses from mothers in the third pregnancy, infection, and nutrition study.

The Journal of perinatal education

Bovbjerg ML, Evenson KR, Bradley C, Thorp JM.
PMID: 25364220
J Perinat Educ. 2014;23(3):155-64. doi: 10.1891/1058-1243.23.3.155.

Many behaviors and substances have been purported to induce labor. Using data from the Third Pregnancy, Infection, and Nutrition cohort, we focus on 663 women who experienced spontaneous labor. Of the women who reported a specific labor trigger, 32%...

Cite
Bovbjerg ML, Evenson KR, Bradley C, et al. What started your labor? Responses from mothers in the third pregnancy, infection, and nutrition study. J Perinat Educ. 2014;23(3):155-64doi: 10.1891/1058-1243.23.3.155.
Bovbjerg, M. L., Evenson, K. R., Bradley, C., & Thorp, J. M. (2014). What started your labor? Responses from mothers in the third pregnancy, infection, and nutrition study. The Journal of perinatal education, 23(3), 155-64. https://doi.org/10.1891/1058-1243.23.3.155
Bovbjerg, Marit L, et al. "What started your labor? Responses from mothers in the third pregnancy, infection, and nutrition study." The Journal of perinatal education vol. 23,3 (2014): 155-64. doi: https://doi.org/10.1891/1058-1243.23.3.155
Bovbjerg ML, Evenson KR, Bradley C, Thorp JM. What started your labor? Responses from mothers in the third pregnancy, infection, and nutrition study. J Perinat Educ. 2014;23(3):155-64. doi: 10.1891/1058-1243.23.3.155. PMID: 25364220; PMCID: PMC4210668.
Copy Download .nbib Format: NLM
Multiple Hypothesis Testing for Experimental Gingivitis Based on Wilcoxon Signed Rank Statistics.

Statistics in biopharmaceutical research

Preisser JS, Sen PK, Offenbacher S.
PMID: 21984957
Stat Biopharm Res. 2011 May 01;3(2):372-384. doi: 10.1198/sbr.2011.10025.

Dental research often involves repeated multivariate outcomes on a small number of subjects for which there is interest in identifying outcomes that exhibit change in their levels over time as well as to characterize the nature of that change....

Cite
Preisser JS, Sen PK, Offenbacher S. Multiple Hypothesis Testing for Experimental Gingivitis Based on Wilcoxon Signed Rank Statistics. Stat Biopharm Res. 2011;3(2):372-384doi: 10.1198/sbr.2011.10025.
Preisser, J. S., Sen, P. K., & Offenbacher, S. (2011). Multiple Hypothesis Testing for Experimental Gingivitis Based on Wilcoxon Signed Rank Statistics. Statistics in biopharmaceutical research, 3(2), 372-384. https://doi.org/10.1198/sbr.2011.10025
Preisser, John S, et al. "Multiple Hypothesis Testing for Experimental Gingivitis Based on Wilcoxon Signed Rank Statistics." Statistics in biopharmaceutical research vol. 3,2 (2011): 372-384. doi: https://doi.org/10.1198/sbr.2011.10025
Preisser JS, Sen PK, Offenbacher S. Multiple Hypothesis Testing for Experimental Gingivitis Based on Wilcoxon Signed Rank Statistics. Stat Biopharm Res. 2011 May 01;3(2):372-384. doi: 10.1198/sbr.2011.10025. PMID: 21984957; PMCID: PMC3186946.
Copy Download .nbib Format: NLM
Effect of Ritonavir on (99m)Technetium-Mebrofenin Disposition in Humans: A Semi-PBPK Modeling and In Vitro Approach to Predict Transporter-Mediated DDIs.

CPT: pharmacometrics & systems pharmacology

Pfeifer ND, Goss SL, Swift B, Ghibellini G, Ivanovic M, Heizer WD, Gangarosa LM, Brouwer KL.
PMID: 23887590
CPT Pharmacometrics Syst Pharmacol. 2013 Jan 02;2:e20. doi: 10.1038/psp.2012.21.

A semiphysiologically based pharmacokinetic (semi-PBPK) model was developed to describe a unique blood, liver, and bile clinical data set for the hepatobiliary imaging agent (99m)Technetium-mebrofenin ((99m)Tc-mebrofenin), and to simulate sites/mechanisms of a (99m)Tc-mebrofenin-ritonavir drug-drug interaction (DDI). The transport inhibitor...

Cite
Pfeifer ND, Goss SL, Swift B, et al. Effect of Ritonavir on (99m)Technetium-Mebrofenin Disposition in Humans: A Semi-PBPK Modeling and In Vitro Approach to Predict Transporter-Mediated DDIs. CPT Pharmacometrics Syst Pharmacol. 2013;2:e20doi: 10.1038/psp.2012.21.
Pfeifer, N. D., Goss, S. L., Swift, B., Ghibellini, G., Ivanovic, M., Heizer, W. D., Gangarosa, L. M., & Brouwer, K. L. (2013). Effect of Ritonavir on (99m)Technetium-Mebrofenin Disposition in Humans: A Semi-PBPK Modeling and In Vitro Approach to Predict Transporter-Mediated DDIs. CPT: pharmacometrics & systems pharmacology, 2e20. https://doi.org/10.1038/psp.2012.21
Pfeifer, N D, et al. "Effect of Ritonavir on (99m)Technetium-Mebrofenin Disposition in Humans: A Semi-PBPK Modeling and In Vitro Approach to Predict Transporter-Mediated DDIs." CPT: pharmacometrics & systems pharmacology vol. 2 (2013): e20. doi: https://doi.org/10.1038/psp.2012.21
Pfeifer ND, Goss SL, Swift B, Ghibellini G, Ivanovic M, Heizer WD, Gangarosa LM, Brouwer KL. Effect of Ritonavir on (99m)Technetium-Mebrofenin Disposition in Humans: A Semi-PBPK Modeling and In Vitro Approach to Predict Transporter-Mediated DDIs. CPT Pharmacometrics Syst Pharmacol. 2013 Jan 02;2:e20. doi: 10.1038/psp.2012.21. PMID: 23887590; PMCID: PMC3600725.
Copy Download .nbib Format: NLM
BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE CALCULATION DUE TO ESTIMATING NONCENTRALITY.

Communications in statistics: theory and methods

Taylor DJ, Muller KE.
PMID: 24363486
Commun Stat Theory Methods. 1996;25(7). doi: 10.1080/03610929608831787.

Data analysts frequently calculate power and sample size for a planned study using mean and variance estimates from an initial trial. Hence power, or the sample size needed to achieve a fixed power, varies randomly. Such calculations can be...

Cite
Taylor DJ, Muller KE. BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE CALCULATION DUE TO ESTIMATING NONCENTRALITY. Commun Stat Theory Methods. 1996;25(7)doi: 10.1080/03610929608831787.
Taylor, D. J., & Muller, K. E. (1996). BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE CALCULATION DUE TO ESTIMATING NONCENTRALITY. Communications in statistics: theory and methods, 25(7), . https://doi.org/10.1080/03610929608831787
Taylor, Douglas J, and Muller, Keith E. "BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE CALCULATION DUE TO ESTIMATING NONCENTRALITY." Communications in statistics: theory and methods vol. 25,7 (1996). doi: https://doi.org/10.1080/03610929608831787
Taylor DJ, Muller KE. BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE CALCULATION DUE TO ESTIMATING NONCENTRALITY. Commun Stat Theory Methods. 1996;25(7). doi: 10.1080/03610929608831787. PMID: 24363486; PMCID: PMC3867307.
Copy Download .nbib Format: NLM
Prediction of hospitalizations in systemic lupus erythematosus using the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI).

Arthritis care & research

Legge A, Kirkland S, Rockwood K, Andreou P, Bae SC, Gordon C, Romero-Diaz J, Sanchez-Guerrero J, Wallace DJ, Bernatsky S, Clarke AE, Merrill JT, Ginzler EM, Fortin PR, Gladman DD, Urowitz MB, Bruce IN, Isenberg DA, Rahman A, Alarcón GS, Petri M, Khamashta MA, Dooley MA, Ramsey-Goldman R, Manzi S, Zoma AA, Aranow C, Mackay M, Ruiz-Irastorza G, Lim SS, Inanc M, van Vollenhoven RF, Jonsen A, Nived O, Ramos-Casals M, Kamen DL, Kalunian KC, Jacobsen S, Peschken CA, Askanase A, Hanly JG.
PMID: 33152181
Arthritis Care Res (Hoboken). 2020 Nov 05; doi: 10.1002/acr.24504. Epub 2020 Nov 05.

OBJECTIVE: The Systemic Lupus International Collaborating Clinics (SLICC) frailty index (FI) predicts mortality and damage accrual in SLE, but its association with hospitalizations has not been described. We estimated the association of baseline SLICC-FI values with future hospitalizations in...

Cite
Legge A, Kirkland S, Rockwood K, et al. Prediction of hospitalizations in systemic lupus erythematosus using the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI). Arthritis Care Res (Hoboken). 2020;doi: 10.1002/acr.24504.
Legge, A., Kirkland, S., Rockwood, K., Andreou, P., Bae, S. C., Gordon, C., Romero-Diaz, J., Sanchez-Guerrero, J., Wallace, D. J., Bernatsky, S., Clarke, A. E., Merrill, J. T., Ginzler, E. M., Fortin, P. R., Gladman, D. D., Urowitz, M. B., Bruce, I. N., Isenberg, D. A., Rahman, A., Alarcón, G. S., Petri, M., Khamashta, M. A., Dooley, M. A., Ramsey-Goldman, R., Manzi, S., Zoma, A. A., Aranow, C., Mackay, M., Ruiz-Irastorza, G., Lim, S. S., Inanc, M., van Vollenhoven, R. F., Jonsen, A., Nived, O., Ramos-Casals, M., Kamen, D. L., Kalunian, K. C., Jacobsen, S., Peschken, C. A., Askanase, A., & Hanly, J. G. (2020). Prediction of hospitalizations in systemic lupus erythematosus using the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI). Arthritis care & research, . https://doi.org/10.1002/acr.24504
Legge, Alexandra, et al. "Prediction of hospitalizations in systemic lupus erythematosus using the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI)." Arthritis care & research vol. (2020). doi: https://doi.org/10.1002/acr.24504
Legge A, Kirkland S, Rockwood K, Andreou P, Bae SC, Gordon C, Romero-Diaz J, Sanchez-Guerrero J, Wallace DJ, Bernatsky S, Clarke AE, Merrill JT, Ginzler EM, Fortin PR, Gladman DD, Urowitz MB, Bruce IN, Isenberg DA, Rahman A, Alarcón GS, Petri M, Khamashta MA, Dooley MA, Ramsey-Goldman R, Manzi S, Zoma AA, Aranow C, Mackay M, Ruiz-Irastorza G, Lim SS, Inanc M, van Vollenhoven RF, Jonsen A, Nived O, Ramos-Casals M, Kamen DL, Kalunian KC, Jacobsen S, Peschken CA, Askanase A, Hanly JG. Prediction of hospitalizations in systemic lupus erythematosus using the Systemic Lupus International Collaborating Clinics Frailty Index (SLICC-FI). Arthritis Care Res (Hoboken). 2020 Nov 05; doi: 10.1002/acr.24504. Epub 2020 Nov 05. PMID: 33152181; PMCID: PMC8096857.
Copy Download .nbib Format: NLM
Cancer Risk in a Large Inception Systemic Lupus Erythematosus Cohort: Effects of Demographic Characteristics, Smoking, and Medications.

Arthritis care & research

Bernatsky S, Ramsey-Goldman R, Urowitz MB, Hanly JG, Gordon C, Petri MA, Ginzler EM, Wallace DJ, Bae SC, Romero-Diaz J, Dooley MA, Peschken CA, Isenberg DA, Rahman A, Manzi S, Jacobsen S, Lim SS, van Vollenhoven R, Nived O, Kamen DL, Aranow C, Ruiz-Irastorza G, Sánchez-Guerrero J, Gladman DD, Fortin PR, Alarcón GS, Merrill JT, Kalunian KC, Ramos-Casals M, Steinsson K, Zoma A, Askanase A, Khamashta MA, Bruce I, Inanc M, Clarke AE.
PMID: 32813314
Arthritis Care Res (Hoboken). 2021 Dec;73(12):1789-1795. doi: 10.1002/acr.24425. Epub 2021 Oct 12.

OBJECTIVE: To assess cancer risk factors in incident systemic lupus erythematosus (SLE).METHODS: Clinical variables and cancer outcomes were assessed annually among incident SLE patients. Multivariate hazard regression models (overall risk and most common cancers) included demographic characteristics and time-dependent...

Cite
Bernatsky S, Ramsey-Goldman R, Urowitz MB, et al. Cancer Risk in a Large Inception Systemic Lupus Erythematosus Cohort: Effects of Demographic Characteristics, Smoking, and Medications. Arthritis Care Res (Hoboken). 2021;73(12):1789-1795doi: 10.1002/acr.24425.
Bernatsky, S., Ramsey-Goldman, R., Urowitz, M. B., Hanly, J. G., Gordon, C., Petri, M. A., Ginzler, E. M., Wallace, D. J., Bae, S. C., Romero-Diaz, J., Dooley, M. A., Peschken, C. A., Isenberg, D. A., Rahman, A., Manzi, S., Jacobsen, S., Lim, S. S., van Vollenhoven, R., Nived, O., Kamen, D. L., Aranow, C., Ruiz-Irastorza, G., Sánchez-Guerrero, J., Gladman, D. D., Fortin, P. R., Alarcón, G. S., Merrill, J. T., Kalunian, K. C., Ramos-Casals, M., Steinsson, K., Zoma, A., Askanase, A., Khamashta, M. A., Bruce, I., Inanc, M., & Clarke, A. E. (2021). Cancer Risk in a Large Inception Systemic Lupus Erythematosus Cohort: Effects of Demographic Characteristics, Smoking, and Medications. Arthritis care & research, 73(12), 1789-1795. https://doi.org/10.1002/acr.24425
Bernatsky, Sasha, et al. "Cancer Risk in a Large Inception Systemic Lupus Erythematosus Cohort: Effects of Demographic Characteristics, Smoking, and Medications." Arthritis care & research vol. 73,12 (2021): 1789-1795. doi: https://doi.org/10.1002/acr.24425
Bernatsky S, Ramsey-Goldman R, Urowitz MB, Hanly JG, Gordon C, Petri MA, Ginzler EM, Wallace DJ, Bae SC, Romero-Diaz J, Dooley MA, Peschken CA, Isenberg DA, Rahman A, Manzi S, Jacobsen S, Lim SS, van Vollenhoven R, Nived O, Kamen DL, Aranow C, Ruiz-Irastorza G, Sánchez-Guerrero J, Gladman DD, Fortin PR, Alarcón GS, Merrill JT, Kalunian KC, Ramos-Casals M, Steinsson K, Zoma A, Askanase A, Khamashta MA, Bruce I, Inanc M, Clarke AE. Cancer Risk in a Large Inception Systemic Lupus Erythematosus Cohort: Effects of Demographic Characteristics, Smoking, and Medications. Arthritis Care Res (Hoboken). 2021 Dec;73(12):1789-1795. doi: 10.1002/acr.24425. Epub 2021 Oct 12. PMID: 32813314; PMCID: PMC7892637.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 34 entries