Evidence map›Paper›PMID 28851466›Full record

ArticlePublic health nutrition2017

Study sponsorship and the nutrition research agenda: analysis of cohort studies examining the association between nutrition and obesity.

Alice Fabbri, Nicholas Chartres, Lisa A Bero

Abstract read
In one paragraph

Article in Public health nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Alice Fabbri1Centre of Research in Medical Pharmacology,University of Insubria,Varese,Italy.
Nicholas Chartres2Charles Perkins Centre and Faculty of Pharmacy,The University of Sydney,Camperdown,NSW 2006,Australia.
Lisa A Bero2Charles Perkins Centre and Faculty of Pharmacy,The University of Sydney,Camperdown,NSW 2006,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo categorize the research topics covered by a sample of cohort studies exploring the association between nutrition and obesity; to describe their funding sources; and to explore the association between funding sources and research topics.

designCross-sectional study. SUBJECTS: Cohort studies retrieved from MEDLINE and PubMed published between 2010 and 2016.

resultsOne hundred and twenty-one studies were included. Funding source and conflicts of interest were disclosed in 95·0 and 90·1 % of the studies, respectively. Food industry sponsorship was disclosed in 8·3 % of the studies. Half of the studies analysed the consumption of a single food or food groups, 18·2 % included an analysis of dietary patterns and 17·4 % focused on specific nutrients. Highly processed foods were considered in 48·8 % of the studies and 27·3 % considered dietary behaviours (e.g. eating away from home). No statistically significant differences in research topics were observed between industry- and non-industry-funded studies.

conclusionsCohort studies focused on more complex exposures (e.g. food or dietary patterns) rather than single nutrients. No significant differences in the research agenda by funding sources were observed. The analysis was limited by the low proportion of studies with disclosed food industry sponsorship.

Indexed as

Cohort StudiesNutritional StatusCross-Sectional StudiesDietHumansNutritional Physiological PhenomenaObesityResearchResearch DesignBiasObesityResearch agendaSponsorship

Identifiers

PMID28851466
PMCPMC10261278

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.