Luis E. Colunga Lozano
McMaster University
9 Papers
13 Citations
Luis E. Colunga Lozano is an academic researcher from McMaster University. The author has contributed to research in topics: MEDLINE & Meta-analysis. The author has an hindex of 4, co-authored 7 publications. Previous affiliations of Luis E. Colunga Lozano include University of Guadalajara.
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Papers
Corticosteroids in COVID-19 and non-COVID-19 ARDS: a systematic review and meta-analysis.
Dipayan Chaudhuri,Kiyoka Sasaki,Aram Karkar,Sameer Sharif,Kimberly Lewis,Manoj J. Mammen,Paul E. Alexander,Zhikang Ye,Luis E. Colunga Lozano,Marie Warrer Munch,Anders Perner,Bin Du,Lawrence Mbuagbaw,Lawrence Mbuagbaw,Waleed Alhazzani,Stephen M. Pastores,John Marshall,Francois Lamontagne,Djillali Annane,Gianfranco Umberto Meduri,Bram Rochwerg,Bram Rochwerg +21 more
TL;DR: The use of corticosteroids probably reduced mortality in patients with ARDS of any etiology (2740 patients in 16 trials, RR 0.82, 95% CI 0.72-0.95, ARR 8.0%, 95%CI 2.2-12.5%, moderate certainty).
A systematic survey of the methods literature on the reporting quality and optimal methods of handling participants with missing outcome data for continuous outcomes in randomized controlled trials.
Yuqing Zhang,Akram Alyass,Thuva Vanniyasingam,Behnam Sadeghirad,Ivan D. Florez,Sathish Chandra Pichika,Sean A. Kennedy,Ulviya Abdulkarimova,Yuan Zhang,Tzvia Iljon,Gian Paolo Morgano,Luis E. Colunga Lozano,Fazila Aloweni,Luciane Cruz Lopes,Juan José Yepes-Nuñez,Yutong Fei,Li Wang,Lara A Kahale,David Meyre,Elie A. Akl,Lehana Thabane,Gordon H. Guyatt +21 more
TL;DR: A systematic survey of the reporting quality of simulation studies dealing with how to handle missing participant data in randomized control trials found the mixed model approach was superior to other methods in terms of overall performance and bias.
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A systematic survey on reporting and methods for handling missing participant data for continuous outcomes in randomized controlled trials.
Yuqing Zhang,Ivan D. Florez,Luis E. Colunga Lozano,Fazila Aloweni,Sean A. Kennedy,Aihua Li,Samantha Craigie,Shiyuan Zhang,Arnav Agarwal,Luciane Cruz Lopes,Tahira Devji,Wojtek Wiercioch,John J. Riva,Mengxiao Wang,Xuejing Jin,Yutong Fei,Paul E. Alexander,Gian Paolo Morgano,Yuan Zhang,Alonso Carrasco-Labra,Lara A Kahale,Elie A. Akl,Holger J. Schünemann,Lehana Thabane,Gordon H. Guyatt +24 more
TL;DR: Most RCTs reporting continuous outcomes reported in 2014 failed to use optimal analytic methods, and very few conducted sensitivity analyses addressing the possible impact of MPD or commented on how MPD might influence risk of bias.
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A systematic survey identified methodological issues in studies estimating anchor-based minimal important differences in patient-reported outcomes.
АДОБАШЕВА, Залина,Yuting Wang,Tahira Devji,Anila Qasim,Qiukui Hao,Qiukui Hao,Vanessa Wong,Meha Bhatt,Manya Prasad,Ying Wang,Atefeh Noori,Yingqi Xiao,Yingqi Xiao,Maryam Ghadimi,Luis E. Colunga Lozano,Mark Phillips,Alonso Carrasco-Labra,Madeleine King,Berend Terluin,Caroline B. Terwee,Michael Walsh,Michael Walsh,Toshi A. Furukawa,Gordon H. Guyatt +23 more
TL;DR: A systematic survey of the literature addressing the reporting of studies estimating anchor-based minimal important differences (MIDs) and choice of optimal MIDs is presented in this paper. But the focus of the survey was on the reporting and selection of anchors.
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Precisión diagnóstica de prueba de estrés con furosemida para predicción de daño renal agudo severo
Diana Vega Martínez,Guadalupe Aguirre Avalos,Jonathan Samuel Chávez Iñiguez,Luis E. Colunga Lozano,Flavio César Estrada Gil +4 more
- 10 Jan 2016
TL;DR: La PEF predice de manera adecuada el comportamiento de la funcion renal; existe concordancia with otros estudios pero se requiere una mayor poblacion para corroborar los datos antes mencionados.