Literature DB >> 24829477

Comment on "Limitations of observational evidence: implications for evidence-based dietary recommendations".

Mikkel Zöllner Ankarfeldt1.   

Abstract

Mesh：

Year:  2014        PMID： 24829477      PMCID： PMC4013183          DOI： 10.3945/an.114.005777

Source DB:  PubMed          Journal:  Adv Nutr        ISSN： 2161-8313            Impact factor:   8.701


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  10 in total

1.  Is a protein calorie better for weight control?

Authors:  Arne Astrup; Sue D Pedersen
Journal:  Am J Clin Nutr       Date:  2012-02-01       Impact factor: 7.045

2.  Why observational studies should be among the tools used in comparative effectiveness research.

Authors:  Nancy A Dreyer; Sean R Tunis; Marc Berger; Dan Ollendorf; Pattra Mattox; Richard Gliklich
Journal:  Health Aff (Millwood)       Date:  2010-10       Impact factor: 6.301

3.  External validity of randomised controlled trials: "to whom do the results of this trial apply?".

Authors:  Peter M Rothwell
Journal:  Lancet       Date:  2005 Jan 1-7       Impact factor: 79.321

4.  Valuing evidence: bias and the evidence hierarchy of evidence-based medicine.

Authors:  Kirstin Borgerson
Journal:  Perspect Biol Med       Date:  2009       Impact factor: 1.416

Review 5.  Choosing between randomised and non-randomised studies: a systematic review.

Authors:  A Britton; M McKee; N Black; K McPherson; C Sanderson; C Bain
Journal:  Health Technol Assess       Date:  1998       Impact factor: 4.014

6.  Beyond the intention-to-treat in comparative effectiveness research.

Authors:  Miguel A Hernán; Sonia Hernández-Díaz
Journal:  Clin Trials       Date:  2011-09-23       Impact factor: 2.486

Review 7.  Limitations of observational evidence: implications for evidence-based dietary recommendations.

Authors:  Kevin C Maki; Joanne L Slavin; Tia M Rains; Penny M Kris-Etherton
Journal:  Adv Nutr       Date:  2014-01-01       Impact factor: 8.701

Review 8.  A systematic review of comparisons of effect sizes derived from randomised and non-randomised studies.

Authors:  R R MacLehose; B C Reeves; I M Harvey; T A Sheldon; I T Russell; A M Black
Journal:  Health Technol Assess       Date:  2000       Impact factor: 4.014

9.  Observational studies analyzed like randomized experiments: an application to postmenopausal hormone therapy and coronary heart disease.

Authors:  Miguel A Hernán; Alvaro Alonso; Roger Logan; Francine Grodstein; Karin B Michels; Walter C Willett; Joann E Manson; James M Robins
Journal:  Epidemiology       Date:  2008-11       Impact factor: 4.822

Review 10.  Randomisation to protect against selection bias in healthcare trials.

Authors:  Jan Odgaard-Jensen; Gunn E Vist; Antje Timmer; Regina Kunz; Elie A Akl; Holger Schünemann; Matthias Briel; Alain J Nordmann; Silvia Pregno; Andrew D Oxman
Journal:  Cochrane Database Syst Rev       Date:  2011-04-13
  10 in total
  2 in total

1.  Perspective: NutriGrade: A Scoring System to Assess and Judge the Meta-Evidence of Randomized Controlled Trials and Cohort Studies in Nutrition Research.

Authors:  Lukas Schwingshackl; Sven Knüppel; Carolina Schwedhelm; Georg Hoffmann; Benjamin Missbach; Marta Stelmach-Mardas; Stefan Dietrich; Fabian Eichelmann; Evangelos Kontopantelis; Khalid Iqbal; Krasimira Aleksandrova; Stefan Lorkowski; Michael F Leitzmann; Anja Kroke; Heiner Boeing
Journal:  Adv Nutr       Date:  2016-11-15       Impact factor: 8.701

2.  Perspective: Limiting Dependence on Nonrandomized Studies and Improving Randomized Trials in Human Nutrition Research: Why and How.

Authors:  John F Trepanowski; John P A Ioannidis
Journal:  Adv Nutr       Date:  2018-07-01       Impact factor: 8.701
  2 in total

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