Evidence mapPaperPMID 41999951Full record

SynthesisAdvances in nutrition (Bethesda, Md.)2026

Dietary Patterns and Cardiovascular Diseases in Individuals with Type 2 Diabetes: A Systematic Review and Meta-Analysis of Prospective Observational Studies.

Janett Barbaresko, Lisa Kannenberg, Edyta Schaefer, Alexander Lang, Lukas Schwingshackl, Manuela Neuenschwander, Sabrina Schlesinger

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Advances in nutrition (Bethesda, Md.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Janett BarbareskoInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany. Electronic address: janett.barbaresko@ddz.de.
Lisa KannenbergInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany.
Edyta SchaeferInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany.
Alexander LangInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany.
Lukas SchwingshacklInstitute for Evidence in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Manuela NeuenschwanderInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany.
Sabrina SchlesingerInstitute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany; German Center for Diabetes Research (DZD), Partner Düsseldorf, Munich-Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with type 2 diabetes are at increased risk of cardiovascular diseases (CVD). Dietary behavior plays an important role in both the management of diabetes and the prevention of CVD. We aimed to summarize the current evidence on associations between dietary patterns and the risk of CVD outcomes in individuals with type 2 diabetes. PubMed, Embase, and Cochrane Library were systematically searched for prospective observational studies investigating dietary patterns in association with CVD outcomes in individuals with diabetes. Summary risk ratios (SRR) with 95% confidence intervals (CIs) were calculated using random effects model. The certainty of evidence was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation approach. In total, we identified 57 studies. Moderate certainty of evidence was found for the association between the Mediterranean diet and CVD (SRR per 1 point: 0.95; 95% CI: 0.93, 0.97; n = 6). Other plant-based diets such as the Dietary Approaches to Stop Hypertension (per 5 points: 0.96; 95% CI: 0.89, 1.03; n = 3), EAT-Lancet diet (per 3 points: 0.65; 95% CI: 0.45, 0.95, n = 3) or country-specific dietary guidelines (high compared with low: 0.80; 95% CI: 0.76, 0.84; n = 9) were associated with a lower incidence of CVD outcomes (low or very low certainty of evidence). Higher adherence to the unhealthy plant-based index and dietary inflammatory index was positively associated with CVD (low and very low certainty of evidence). No clear associations were found for overall and vegetable-based plant-based index, low-carbohydrate diets, glycemic load, glycemic index, and CVD in persons with type 2 diabetes. Most studies were rated as high risk of bias due to confounding. In conclusion, the results suggest a possible beneficial association between plant-based dietary patterns and CVD outcomes in individuals with type 2 diabetes. However, the certainty of evidence was low to very low, highlighting the need for further well-designed prospective studies. This trial was registered at PROSPERO as CRD42018110669.

Indexed as

Cardiovascular DiseasesDiabetes Mellitus, Type 2DietFeeding BehaviorDiet, MediterraneanDiet, Plant-BasedFemaleHumansObservational Studies as TopicProspective StudiesRisk Factorscardiovascular diseasesdietary patternsmeta-analysissystematic reviewtype 2 diabetes

Identifiers

PMID41999951
PMCPMC13187600

What Socratic 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 Socratic graph.