Pulse Brain · Growing Health Evidence Index
Tier 1 — Meta-analysis / systematic reviewPeer-reviewed

:7173-80

J Agric Food Chem · 2013

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Summary

This methodological paper by Brandt and colleagues addresses a key challenge in nutritional agronomy: how to legitimately compare data from heterogeneous agronomic study designs when conducting meta-analyses on organic versus conventional food composition. The authors demonstrate, using plant food nutrient data as a worked example, how different meta-analytic approaches can yield different conclusions, and propose a systematic review protocol to improve methodological rigour in this field. The paper likely served as a methodological companion to broader systematic reviews on organic food nutrient density, including those subsequently published by the same research group.

UK applicability

Several of the named authors (Leifert, Sanderson, Seal) were based at UK institutions, and the methodological framework proposed is directly applicable to UK research synthesising evidence on organic farming and food quality. The protocol has relevance for UK policy contexts where evidence quality on organic versus conventional produce is scrutinised.

Key measures

Relative nutrient composition of plant foods (organic vs conventional); statistical effect sizes; meta-analytic method comparison; protocol for systematic review methodology

Outcomes reported

The study examined and compared different meta-analytic and statistical methods for synthesising data from agronomic studies with varying designs, focusing on the relative nutrient composition of plant foods grown under organic versus conventional production systems. It evaluated how methodological choices affect conclusions drawn from such comparative analyses.

Theme
Measurement & metrics
Subject
Research methods & evidence synthesis
Study type
Systematic Review
Study design
Systematic review
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Horticulture
DOI
10.1021/jf4008967
Catalogue ID
XL0028

Topic tags

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