Evidence map›Paper›PMID 29063379›Full record

ReviewCurrent obesity reports2017

Dietary Patterns and Cardiovascular Disease Risk in People with Type 2 Diabetes.

M Carolina Archundia Herrera, Fatheema B Subhan, Catherine B Chan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current obesity reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
7.7field-weighted citation impact, top 2% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

M Carolina Archundia HerreraDepartment of Agriculture, Food and Nutritional Science, Alberta Diabetes Institute, University of Alberta, 6-002 Li Ka Shing Centre for Health Innovation Research, Edmonton, AB, T6G 2E1, Canada.
Fatheema B SubhanDepartment of Agriculture, Food and Nutritional Science, Alberta Diabetes Institute, University of Alberta, 6-002 Li Ka Shing Centre for Health Innovation Research, Edmonton, AB, T6G 2E1, Canada.
Catherine B ChanDepartment of Agriculture, Food and Nutritional Science, Alberta Diabetes Institute, University of Alberta, 6-002 Li Ka Shing Centre for Health Innovation Research, Edmonton, AB, T6G 2E1, Canada. cbchan@ualberta.ca.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThe primary objective of this review is to identify dietary patterns with beneficial effects on cardiovascular health of adults with type 2 diabetes. RECENT

findingsThe prevalence of diabetes is increasing globally. People with diabetes have a greater risk for cardiovascular disease. Mediterranean diet, dietary approaches to stop hypertension diet, vegetarian diet, traditional Korean diet, Japanese diet, and low-glycemic-index diet can reduce cardiovascular disease risk in people with diabetes. Dietary intake is a key modifiable factor in the management of diabetes and plays a significant role in limiting the incidence of cardiovascular diseases.

Indexed as

Diet, DiabeticDiet, HealthyRisk Reduction BehaviorCardiovascular DiseasesDiabetes Mellitus, Type 2Dietary Approaches To Stop HypertensionDiet, MediterraneanDiet, VegetarianFeeding BehaviorGlycemic IndexHumansIncidencePrevalencePrognosisProtective FactorsRisk FactorsCardiovascular diseaseCardiovascular risk factorsDASH dietDietary patternJapanese dietLow GI dietMediterranean dietTraditional Korean dietType 2 diabetesVegetarian diet

Identifiers

PMID29063379
OpenAlexW2766253737

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.