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Traumatic Injury and Multiple Sclerosis: A Systematic Review and Meta-Analysis
- Sharon A. Warren, Susan Armijo Olivo, Jorge Fuentes Contreras, Karen V. L. Turpin, Douglas P. Gross, Linda J. Carroll, Kenneth G. Warren
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- Journal:
- Canadian Journal of Neurological Sciences / Volume 40 / Issue 2 / March 2013
- Published online by Cambridge University Press:
- 23 September 2014, pp. 168-176
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A systematic review/meta-analysis of literature addressing a possible association between traumatic injury and onset of multiple sclerosis was conducted. Medline, Embase, Cochrane DSR, Ovid HealthStar, CINAHL, ISI Web of Science and Scopus were searched for analytical studies from 1950 to 2011. Two investigators independently reviewed articles for inclusion, assessing their quality using the Newcastle-Ottawa Scale. Of the 13 case-control studies included, 8 were moderate quality and 5 low; of the 3 cohort studies 2 were high and 1 moderate. Meta-analysis including moderate and low quality case-control studies produced a modest but significant odds ratio: 1.41 (95% confidence interval: 1.03, 1.93). However, when low quality studies were excluded, the resulting odds ratio was non-significant. Cohort studies produced a non-significant standardized incidence ratio of 1.00 (95% confidence interval: 0.86, 1.16). These findings support the conclusion that there is no association between traumatic injury and multiple sclerosis onset; more high quality cohort studies would help to confirm this observation.
Contributors
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- By Yohance M. Allette, Christophe Altier, Charles E. Argoff, Nadine Attal, Paul J. Austin, Didier Bouhassira, Ian Carroll, Kristine M. Chapman, Stephen Coleman, Lynn Kerene Cooper, Michael R. Due, Mary-Ann Fitzcharles, Robyn Flynn, Andrea D. Furlan, Vishal Gupta, Maija Haanpää, Jennifer Hah, Steven H. Horowitz, John Hughes, Mark R. Hutchinson, Scott Jarvis, Maan Kattan, Manpreet Kaur, Bradley J. Kerr, Krishna Kumar, Yuen Hei Kwok, Wojciech Leppert, Liang Liu, Angela Mailis-Gagnon, Gila Moalem-Taylor, Dwight E. Moulin, Harsha Nagaraja, Dontese Nicholson, Lauren Nicotra, Anne Louise Oaklander, John Xavier Pereira, Syed Rizvi, Stephan A. Schug, Michael Serpell, Amanda Sherwin, Howard S. Smith, Peter A. Smith, Pam Squire, Peter A. Ste-Marie, Patrick L. Stemkowski, Nicole M. Sumracki, Cory Toth, Krista van Steeg, Jan H. Vranken, Bharati Vyawahare, Mark A. Ware, Linda R. Watkins, C. Peter N. Watson, Fletcher A. White
- Edited by Cory Toth, Dwight E. Moulin
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- Book:
- Neuropathic Pain
- Published online:
- 05 December 2013
- Print publication:
- 07 November 2013, pp vii-x
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Contributors
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- By Farook Al-Azzawi, Wita Angrianni, Sanjay Asthana, Stephan Bandelow, Kathryn J. Bryan, Cynthia M. Carlsson, Jenna C. Carroll, Gemma Casadesus, Monique M. Cherrier, Laura H. Coker, María M. Corrada, Vita Priantina Dewi, Roberta Diaz Brinton, Mark A. Espeland, Mirjam I. Geerlings, Robert B. Gibbs, Carey E. Gleason, Victor W. Henderson, Patricia E. Hogan, Eef Hogervorst, Claudia H. Kawas, Anna Khaylis, Philip Kreager, Linda Kushandy, Donald Lehmann, Jin Li, Mary E. McAsey, Pauline M. Maki, Ralph N. Martins, Scott D. Moffat, Majon Muller, Theresia Ninuk, Annlia Paganini-Hill, George Perry, Christian J. Pike, Bevin N. Powers, Tri Budi W. Rahardjo, Natalie L. Rasgon, Susan M. Resnick, Emily R. Rosario, Sabarinah, Tony Sadjimim, Barbara B. Sherwin, Sally A. Shumaker, Mark A. Smith, Robert G. Struble, Chris Talbot, Wulf H. Utian, Giuseppe Verdile, Robert B. Wallace, Whitney Wharton, Katherine E. Williams, Oliver T. Wolf, Tonita E. Wroolie, Amina Yesufu, Yudarini, Liqin Zhao
- Edited by Eef Hogervorst, Loughborough University, Victor W. Henderson, Stanford University, California, Robert B. Gibbs, University of Pittsburgh, Roberta Diaz Brinton, University of Southern California
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- Book:
- Hormones, Cognition and Dementia
- Published online:
- 06 July 2010
- Print publication:
- 24 September 2009, pp vii-x
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- By Isabella Aboderin, W. Andrew Achenbaum, Katherine R. Allen, Toni C. Antonucci, Sara Arber, Claudine Attias‐Donfut, Paul B. Baltes, Sandhi Maria Barreto, Vern L. Bengtson, Simon Biggs, Joanna Bornat, Julie B. Boron, Mike Boulton, Clive E. Bowman, Marjolein Broese van Groenou, Edna Brown, Robert N. Butler, Bill Bytheway, Neena L. Chappell, Neil Charness, Kaare Christensen, Peter G. Coleman, Ingrid Arnet Connidis, Neal E. Cutler, Sara J. Czaja, Svein Olav Daatland, Lia Susana Daichman, Adam Davey, Bleddyn Davies, Freya Dittmann‐Kohli, Glen H. Elder, Carroll L. Estes, Mike Featherstone, Amy Fiske, Alexandra Freund, Daphna Gans, Linda K. George, Roseann Giarrusso, Chris Gilleard, Jay Ginn, Edlira Gjonça, Elena L. Grigorenko, Jaber F. Gubrium, Sarah Harper, Jutta Heckhausen, Akiko Hashimoto, Jon Hendricks, Mike Hepworth, Charlotte Ikels, James S. Jackson, Yuri Jang, Bernard Jeune, Malcolm L. Johnson, Randi S. Jones, Alexandre Kalache, Robert L. Kane, Rosalie A. Kane, Ingrid Keller, Rose Anne Kenny, Thomas B. L. Kirkwood, Kees Knipscheer, Martin Kohli, Gisela Labouvie‐Vief, Kristina Larsson, Shu‐Chen Li, Charles F. Longino, Ariela Lowenstein, Erick McCarthy, Gerald E. McClearn, Brendan McCormack, Elizabeth MacKinlay, Alfons Marcoen, Michael Marmot, Tom Margrain, Victor W. Marshall, Elizabeth A. Maylor, Ruud ter Meulen, Harry R. Moody, Robert A. Neimeyer, Demi Patsios, Margaret J. Penning, Stephen A. Petrill, Chris Phillipson, Leonard W. Poon, Norella M. Putney, Jill Quadagno, Pat Rabbitt, Jennifer Reid Keene, Sandra G. Reynolds, Steven R. Sabat, Clive Seale, Merril Silverstein, Hannes B. Staehelin, Ursula M. Staudinger, Robert J. Sternberg, Debra Street, Philip Taylor, Fleur Thomése, Mats Thorslund, Jinzhou Tian, Theo van Tilburg, Fernando M. Torres‐Gil, Josy Ubachs‐Moust, Christina Victor, K. Warner Shaie, Anthony M. Warnes, James L. Werth, Sherry L. Willis, François‐Charles Wolff, Bob Woods
- Edited by Malcolm L. Johnson, University of Bristol
- Edited in association with Vern L. Bengtson, University of Southern California, Peter G. Coleman, University of Southampton, Thomas B. L. Kirkwood, University of Newcastle upon Tyne
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- Book:
- The Cambridge Handbook of Age and Ageing
- Published online:
- 05 June 2016
- Print publication:
- 01 December 2005, pp xii-xvi
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Biological and social predictors of long-term geriatric depression outcome
- David C. Steffens, Carl F. Pieper, Hayden B. Bosworth, James R. MacFall, James M. Provenzale, Martha E. Payne, Bernard J. Carroll, Linda K. George, K. Ranga R. Krishnan
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- Journal:
- International Psychogeriatrics / Volume 17 / Issue 1 / March 2005
- Published online by Cambridge University Press:
- 16 February 2005, pp. 41-56
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Objective: In this study, we examined 204 older depressed individuals for up to 64 months to determine factors related to depression outcome. We hypothesized that both presence of vascular brain lesions seen on baseline magnetic resonance imaging (MRI) scans and lower baseline social support measures would be related to worse depression outcome.
Method: At study entry, all subjects were at least 59 years old, had a diagnosis of major depression, and were free of other major psychiatric illness and primary neurological illness, including dementia and stroke. Depression was diagnosed via structured interview and clinical assessment by a geriatric psychiatrist who completed a Montgomery Asberg Depression Rating Scale (MADRS) to determine severity of depression. Subjects provided self-report data on social support variables and ability to perform basic and instrumental activities of daily living (ADL, IADL). All subjects agreed to have a baseline standardized MRI brain scan. Ratings of severity of hyperintensities were determined for the periventricular white matter, deep white matter, and subcortical gray matter by two readers who decided by consensus. Treatment was provided by geropsychiatrists following clinical guidelines. Using mixed models to analyze the data, we determined the effect of a variety of demographic, social and imaging variables on the trajectory of MADRS score, the outcome variable of interest.
Results: MADRS scores decreased steadily over time. In a final HLM model, in which time since entry, a baseline time indicator, age, gender, education and Mini-mental State Examination score were controlled, subjective social support, instrumental ADL impairment, subcortical gray matter severity, and the interactions of time with social network and with subcortical gray matter lesions remained significantly associated with MADRS score.
Conclusions: Both social and biological factors at baseline are associated with longitudinal depression severity in geriatric depression.