ArticleEuropean journal of epidemiology2019
Nutritional epidemiology: forest, trees and leaves.
Article in European journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Response to: Debate in relation to "Ultra‑processed foods and human health: the main thesis and the evidence".BMC medicine · 2026Article
- Diet-Wide Association Study for the Incidence of Type 2 Diabetes in Three Population-Based Cohorts.Nutrients · 2024Article
- Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.Advances in nutrition (Bethesda, Md.) · 2021Article
- Characteristics and quality of systematic reviews and meta-analyses of observational nutritional epidemiology: a cross-sectional study.The American journal of clinical nutrition · 2021Article
- Objectives, design and main findings until 2020 from the Rotterdam Study.European journal of epidemiology · 2020Article
- Mendelian randomisation for nutritional psychiatry.The lancet. Psychiatry · 2020Review
- The Validity of Children's Fruit and Vegetable Intake Using Plasma Vitamins A, C, and E: The SAYCARE Study.Nutrients · 2019Article
- Unreformed nutritional epidemiology: a lamp post in the dark forest.European journal of epidemiology · 2019Article
Corrections and comments
- Commented on by
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ioannidis has stated that the field of nutritional epidemiology has generated confusion and numerous implausible findings and is in need of radical reform. One of the reforms he proposes is to conduct analyses that take into account the "totality for all nutritional factors measured". This approach is based on isolating and reducing diet into numerous independent variables with little regard to prior knowledge or the interrelations among dietary components, and relying on a "discovery" approach. This method, akin to genomewide association studies (GWAS), would involve very large sample sizes, small associations, no prior knowledge, and multiple testing considerations. This method is contrary to the more traditional hypothesis generating and testing approach built on all types of evidence. This commentary will contrast how suitable these two approaches are to study diet and disease.
Indexed as
Identifiers
30725237What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.