Literature DB >> 29564478

Scientific evidence underlying the recommendations of critical care clinical practice guidelines: a lack of high level evidence.

Zhongheng Zhang1, Yucai Hong2, Ning Liu2.   

Abstract

Mesh：

Year:  2018        PMID： 29564478     DOI： 10.1007/s00134-018-5142-8

Source DB:  PubMed          Journal:  Intensive Care Med        ISSN： 0342-4642            Impact factor:   17.440


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  5 in total

1.  Scientific evidence underlying the ACC/AHA clinical practice guidelines.

Authors:  Pierluigi Tricoci; Joseph M Allen; Judith M Kramer; Robert M Califf; Sidney C Smith
Journal:  JAMA       Date:  2009-02-25       Impact factor: 56.272

2.  Evolution of the American College of Cardiology/American Heart Association Clinical Guidelines.

Authors:  Henry Han; Howard Chao; Andres Guerra; Alan Sosa; Georgios Christopoulos; Georgios E Christakopoulos; Bavana V Rangan; Spyros Maragkoudakis; Hani Jneid; Subhash Banerjee; Emmanouil S Brilakis
Journal:  J Am Coll Cardiol       Date:  2015-06-30       Impact factor: 24.094

3.  Quality of evidence is a key determinant for making a strong GRADE guidelines recommendation.

Authors:  Benjamin Djulbegovic; Ambuj Kumar; Richard M Kaufman; Aaron Tobian; Gordon H Guyatt
Journal:  J Clin Epidemiol       Date:  2015-02-07       Impact factor: 6.437

4.  Model building strategy for logistic regression: purposeful selection.

Authors:  Zhongheng Zhang
Journal:  Ann Transl Med       Date:  2016-03

5.  Level of scientific evidence underlying recommendations arising from the National Comprehensive Cancer Network clinical practice guidelines.

Authors:  Thejaswi K Poonacha; Ronald S Go
Journal:  J Clin Oncol       Date:  2010-12-13       Impact factor: 44.544
  5 in total
  6 in total

1.  Innovation and safety in critical care: should we collaborate with the industry? Con.

Authors:  Anders Perner; Jon Henrik Laake; Iwan C C van der Horst
Journal:  Intensive Care Med       Date:  2018-11-08       Impact factor: 17.440

Review 2.  Time to stop randomized and large pragmatic trials for intensive care medicine syndromes: the case of sepsis and acute respiratory distress syndrome.

Authors:  Armand R J Girbes; Harm-Jan de Grooth
Journal:  J Thorac Dis       Date:  2020-02       Impact factor: 2.895

Review 3.  Use of pragmatic and explanatory trial designs in acute care research: lessons from COVID-19.

Authors:  Jonathan D Casey; Laura M Beskow; Jeremy Brown; Samuel M Brown; Étienne Gayat; Michelle Ng Gong; Michael O Harhay; Samir Jaber; Jacob C Jentzer; Pierre-François Laterre; John C Marshall; Michael A Matthay; Todd W Rice; Yves Rosenberg; Alison E Turnbull; Lorraine B Ware; Wesley H Self; Alexandre Mebazaa; Sean P Collins
Journal:  Lancet Respir Med       Date:  2022-06-13       Impact factor: 102.642

Review 4.  Reinforcement Learning for Clinical Decision Support in Critical Care: Comprehensive Review.

Authors:  Siqi Liu; Kay Choong See; Kee Yuan Ngiam; Leo Anthony Celi; Xingzhi Sun; Mengling Feng
Journal:  J Med Internet Res       Date:  2020-07-20       Impact factor: 5.428

Review 5.  Quality assessment of the guidelines for the management of malignant pleural effusions and ascites.

Authors:  Jia-Xi Li; Yan-Mei Shi; Li-Ya An; Jin-Xu Yang; Yu-Xing Qi; Ting Yang; Yun-Yun Cen; Yue-Ying Lin; Da-Li Sun
Journal:  World J Surg Oncol       Date:  2020-12-11       Impact factor: 2.754

Review 6.  What can a learning healthcare system teach us about improving outcomes?

Authors:  Jonathan D Casey; Katherine R Courtright; Todd W Rice; Matthew W Semler
Journal:  Curr Opin Crit Care       Date:  2021-10-01       Impact factor: 3.359
  6 in total

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