Literature DB >> 28140319

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

Lukas Schwingshackl1, Sven Knüppel2, Carolina Schwedhelm2, Georg Hoffmann3, Benjamin Missbach3, Marta Stelmach-Mardas2,4, Stefan Dietrich2, Fabian Eichelmann5,2, Evangelos Kontopantelis6, Khalid Iqbal2, Krasimira Aleksandrova5,2, Stefan Lorkowski7,8, Michael F Leitzmann9, Anja Kroke10, Heiner Boeing2.   

Abstract

The objective of this study was to develop a scoring system (NutriGrade) to evaluate the quality of evidence of randomized controlled trial (RCT) and cohort study meta-analyses in nutrition research, building upon previous tools and expert recommendations. NutriGrade aims to assess the meta-evidence of an association or effect between different nutrition factors and outcomes, taking into account nutrition research-specific requirements not considered by other tools. In a pretest study, 6 randomly selected meta-analyses investigating diet-disease relations were evaluated with NutriGrade by 5 independent raters. After revision, NutriGrade was applied by the same raters to 30 randomly selected meta-analyses in the same thematic area. The reliability of ratings of NutriGrade items was calculated with the use of a multirater κ, and reliability of the total (summed scores) was calculated with the use of intraclass correlation coefficients (ICCs). The following categories for meta-evidence evaluation were established: high (8-10), moderate (6-7.99), low (4-5.99), and very low (0-3.99). The NutriGrade scoring system (maximum of 10 points) comprises the following items: 1) risk of bias, study quality, and study limitations, 2) precision, 3) heterogeneity, 4) directness, 5) publication bias, 6) funding bias, 7) study design, 8) effect size, and 9) dose-response. The NutriGrade score varied between 2.9 (very low meta-evidence) and 8.8 (high meta-evidence) for meta-analyses of RCTs, and it ranged between 3.1 and 8.8 for meta-analyses of cohort studies. The κ value of the ratings for each scoring item varied from 0.32 (95% CI: 0.22, 0.42) for risk of bias for cohort studies and 0.95 (95% CI: 0.91, 0.99) for study design, with a mean κ of 0.66 (95% CI: 0.53, 0.79). The ICC of the total score was 0.81 (95% CI: 0.69, 0.90). The NutriGrade scoring system showed good agreement and reliability. The initial findings regarding the performance of this newly established scoring system need further evaluation in independent analyses.
© 2016 American Society for Nutrition.

Keywords:  meta-analysis; meta-evidence; nutrition; reliability; scoring

Mesh:

Year:  2016        PMID: 28140319      PMCID: PMC5105044          DOI: 10.3945/an.116.013052

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


  64 in total

1.  Interpreting epidemiological evidence: how meta-analysis and causal inference methods are related.

Authors:  D L Weed
Journal:  Int J Epidemiol       Date:  2000-06       Impact factor: 7.196

Review 2.  Publication and related biases.

Authors:  F Song; A J Eastwood; S Gilbody; L Duley; A J Sutton
Journal:  Health Technol Assess       Date:  2000       Impact factor: 4.014

3.  Food company sponsorship of nutrition research and professional activities: a conflict of interest?

Authors:  M Nestle
Journal:  Public Health Nutr       Date:  2001-10       Impact factor: 4.022

4.  Multilevel models for meta-analysis, and their application to absolute risk differences.

Authors:  S G Thompson; R M Turner; D E Warn
Journal:  Stat Methods Med Res       Date:  2001-12       Impact factor: 3.021

5.  Funnel plots for detecting bias in meta-analysis: guidelines on choice of axis.

Authors:  J A Sterne; M Egger
Journal:  J Clin Epidemiol       Date:  2001-10       Impact factor: 6.437

6.  Quantifying heterogeneity in a meta-analysis.

Authors:  Julian P T Higgins; Simon G Thompson
Journal:  Stat Med       Date:  2002-06-15       Impact factor: 2.373

7.  Grading quality of evidence and strength of recommendations.

Authors:  David Atkins; Dana Best; Peter A Briss; Martin Eccles; Yngve Falck-Ytter; Signe Flottorp; Gordon H Guyatt; Robin T Harbour; Margaret C Haugh; David Henry; Suzanne Hill; Roman Jaeschke; Gillian Leng; Alessandro Liberati; Nicola Magrini; James Mason; Philippa Middleton; Jacek Mrukowicz; Dianne O'Connell; Andrew D Oxman; Bob Phillips; Holger J Schünemann; Tessa Tan-Torres Edejer; Helena Varonen; Gunn E Vist; John W Williams; Stephanie Zaza
Journal:  BMJ       Date:  2004-06-19

Review 8.  History of the concept of 'levels of evidence' and their current status in relation to primary prevention through lifestyle interventions.

Authors:  A Kroke; H Boeing; K Rossnagel; S N Willich
Journal:  Public Health Nutr       Date:  2004-04       Impact factor: 4.022

9.  In an empirical evaluation of the funnel plot, researchers could not visually identify publication bias.

Authors:  Norma Terrin; Christopher H Schmid; Joseph Lau
Journal:  J Clin Epidemiol       Date:  2005-09       Impact factor: 6.437

Review 10.  Meta-analysis of observational studies in epidemiology: a proposal for reporting. Meta-analysis Of Observational Studies in Epidemiology (MOOSE) group.

Authors:  D F Stroup; J A Berlin; S C Morton; I Olkin; G D Williamson; D Rennie; D Moher; B J Becker; T A Sipe; S B Thacker
Journal:  JAMA       Date:  2000-04-19       Impact factor: 56.272

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  62 in total

1.  Food Groups and Risk of Overweight, Obesity, and Weight Gain: A Systematic Review and Dose-Response Meta-Analysis of Prospective Studies.

Authors:  Sabrina Schlesinger; Manuela Neuenschwander; Carolina Schwedhelm; Georg Hoffmann; Angela Bechthold; Heiner Boeing; Lukas Schwingshackl
Journal:  Adv Nutr       Date:  2019-03-01       Impact factor: 8.701

2.  Perspective: Network Meta-analysis Reaches Nutrition Research: Current Status, Scientific Concepts, and Future Directions.

Authors:  Lukas Schwingshackl; Guido Schwarzer; Gerta Rücker; Joerg J Meerpohl
Journal:  Adv Nutr       Date:  2019-09-01       Impact factor: 8.701

3.  Perspective: The Evidence-Based Framework in Nutrition and Dietetics: Implementation, Challenges, and Future Directions.

Authors:  Elizabeth P Neale; Linda C Tapsell
Journal:  Adv Nutr       Date:  2019-01-01       Impact factor: 8.701

Review 4.  Perspective: Food-Based Dietary Guidelines in Europe-Scientific Concepts, Current Status, and Perspectives.

Authors:  Angela Bechthold; Heiner Boeing; Inge Tetens; Lukas Schwingshackl; Ute Nöthlings
Journal:  Adv Nutr       Date:  2018-09-01       Impact factor: 8.701

5.  Effects of respiratory muscle therapy on obstructive sleep apnea: a systematic review and meta-analysis.

Authors:  Brien Hsu; Chitra Priya Emperumal; Vincent X Grbach; Mariela Padilla; Reyes Enciso
Journal:  J Clin Sleep Med       Date:  2020-02-06       Impact factor: 4.062

6.  Reply to JJ Meerpohl et al.

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:  2017-09-15       Impact factor: 8.701

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

Authors:  Joerg J Meerpohl; Celeste E Naude; Paul Garner; Reem A Mustafa; Holger J Schünemann
Journal:  Adv Nutr       Date:  2017-09-15       Impact factor: 8.701

8.  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

9.  Alpha-lipoic acid effect on leptin and adiponectin concentrations: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Fahimeh Haghighatdoost; Ali Gholami; Mitra Hariri
Journal:  Eur J Clin Pharmacol       Date:  2020-02-10       Impact factor: 2.953

10.  Fish Consumption and the Risk of Chronic Disease: An Umbrella Review of Meta-Analyses of Prospective Cohort Studies.

Authors:  Ahmad Jayedi; Sakineh Shab-Bidar
Journal:  Adv Nutr       Date:  2020-09-01       Impact factor: 8.701

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