Evidence map›Paper›PMID 36615733›Full record

SynthesisNutrients2022

Dietary Patterns and Non-Communicable Disease Biomarkers: A Network Meta-Analysis and Nutritional Geometry Approach.

Shuang Liang, Jovana Mijatovic, Ang Li, Nicholas Koemel, Reeja Nasir, Clémence Toniutti, Kim Bell-Anderson, Michael Skilton, Fiona O'Leary

Open access · goldAbstract readNetwork Meta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
4.2field-weighted citation impact, top 5% of its field
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

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  16. Introduction: food processing and nutritional assimilation in animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
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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

9 authors at 2 institutions in 1 country.

Shuang LiangFaculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-3865-8655
Jovana MijatovicFaculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.
Ang LiCentre for Health Policy, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC 3010, Australia.ORCID 0000-0002-6269-6432
Nicholas KoemelFaculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-5463-6894
Reeja NasirFaculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.
Clémence ToniuttiFaculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.
Kim Bell-AndersonThe Charles Perkins Centre, The University of Sydney, Sydney, NSW 2006, Australia.
Michael SkiltonFaculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0003-2793-2388
Fiona O'LearyFaculty of Medicine and Health, The University of Sydney, Sydney, NSW 2006, Australia.ORCID 0000-0002-4024-0055
The University of Sydney · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative rankings of multiple dietary patterns for their effects on non-communicable disease (NCD) biomarkers is lacking and would inform primary prevention strategies. Accordingly, a network meta-analysis (NMA) was conducted to compare and rank the effects of different dietary patterns on NCD biomarkers, and associations of dietary patterns’ underlying macronutrient composition with NCD biomarkers were determined by a nutritional geometry approach. Randomised controlled trials (RCTs) were eligible for inclusion if they enrolled healthy participants, employed food-based dietary pattern interventions without energy restriction, and reported NCD biomarker outcomes. NCD biomarkers were included as an outcome if ≥10 trials were available. A systematic search of five electronic databases identified 4008 records. Sixty-eight articles from 59 RCTs reporting lipids, glycemic, and inflammatory biomarkers were included for quantitative syntheses. Risk-of-bias was predominantly categorized as low or having some concerns, and confidence-of-evidence low. Relative to western habitual diet, the Mediterranean, Dietary Approaches to Stop Hypertension (DASH), dietary guidelines-based, plant-based, and low-fat diets reduced low-density lipoprotein cholesterol (mean difference range: −0.29 to −0.17 mmol/L), total cholesterol (−0.36 to −0.24 mmol/L), and apolipoprotein B (−0.11 to −0.07 g/L) (all p < 0.05); the Paleo, plant-based and dietary guidelines-based diets reduced homeostasis model assessment of insulin resistance (−0.95 to −0.35, all p < 0.05). No dietary pattern ranked consistently highest. The Paleo diet received the highest all-outcomes-combined average Surface Under the Cumulative Ranking Curve value (67%), followed by DASH (62%) and Mediterranean diets (57%), whereas western habitual diet was lowest (36%). Our findings were independent of macronutrient composition, highlighting the significance of dietary pattern-level analysis.

Indexed as

Diet, MediterraneanNoncommunicable DiseasesCholesterol, LDLDiet, Fat-RestrictedHumansCholesterol, LDLbiological markerschronic diseasedietGRADEintervention trialssystematic review

Identifiers

PMID36615733
PMCPMC9824098
OpenAlexW4313245324

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.