I want to conduct an umbrella review (review of reviews) on dietary interventions for cardiovascular disease. Help me: 1) Search for existing systematic reviews and meta-analyses on the topic
An umbrella review (review of reviews) on dietary interventions for cardiovascular disease is a fantastic and much-needed undertaking! It will provide a high-level synthesis of existing evidence.
Here's a comprehensive guide to help you search for existing systematic reviews and meta-analyses on your topic:
1. Deconstruct Your Research Question & Identify Key Concepts
Before you start searching, break down your topic into its core components. This will help you identify appropriate keywords and controlled vocabulary terms.
Core Concepts:
- Study Design: Systematic Review OR Meta-analysis (crucial for an umbrella review)
- Intervention: Dietary Interventions (e.g., specific diets, food groups, nutrients, supplements)
- Outcome/Population: Cardiovascular Disease (CVD) or its risk factors/precursors
2. Identify Relevant Databases
You'll need to search multiple databases to ensure comprehensive coverage.
Primary Databases (Essential):
- PubMed / MEDLINE: Excellent for biomedical literature, uses MeSH (Medical Subject Headings).
- Embase: Broader coverage than PubMed, especially for European literature, pharmaceuticals, and conference abstracts. Uses Emtree.
- Cochrane Library: Specifically focuses on systematic reviews of healthcare interventions. Crucial for SRs/MAs.
- Cochrane Database of Systematic Reviews (CDSR): Contains full Cochrane Reviews.
- CENTRAL (Cochrane Central Register of Controlled Trials): While primarily for RCTs, it can sometimes point to included studies within reviews, or review protocols.
- Web of Science (Core Collection): Interdisciplinary, good for citation tracking and finding highly cited reviews.
- Scopus: Similar to Web of Science, very broad, good for citation tracking.
Secondary / Complementary Databases (Consider based on initial results and scope):
- Google Scholar: Useful for identifying reviews not indexed in traditional databases, "grey literature," or reviews from less conventional publishers. Be prepared for a lot of noise.
- PROSPERO (International Prospective Register of Systematic Reviews): Crucial for finding registered protocols of systematic reviews. This helps identify ongoing reviews and avoid duplication. While it won't give you published reviews, it's good to check for reviews that will be published soon.
3. Develop Your Keyword Strategy
For each core concept, brainstorm a wide range of keywords, including synonyms, broader terms, narrower terms, and controlled vocabulary (MeSH for PubMed, Emtree for Embase).
Concept 1: Study Design (Systematic Review / Meta-analysis)
This is the most critical filter for an umbrella review.
- Free-text keywords:
- "systematic review" (truncation
covers "review", "reviews", "reviewer")
- "meta-analys*" (covers "analysis", "analyses")
- "review of reviews"
- "overview of reviews"
- "umbrella review" (might find other umbrella reviews, good for cross-referencing)
- "evidence synthesis" (broader, might capture some but less precise)
- Controlled Vocabulary (e.g., MeSH in PubMed):
- "Systematic Review" [Publication Type]
- "Meta-Analysis" [Publication Type]
Concept 2: Dietary Interventions
This needs to be broad initially to capture all relevant types, then you can refine.
- General terms:
- "diet*"
- "nutrition*"
- "food*"
- "eating"
- "meal*"
- "dietary intervention*"
- "nutritional intervention*"
- Specific Dietary Patterns/Diets:
- "Mediterranean diet"
- "DASH diet"
- "vegan diet"
- "vegetarian diet"
- "plant-based diet"
- "low carbohydrate diet" OR "low carb diet" OR "ketogenic diet"
- "low fat diet" OR "low-fat diet"
- "high fat diet" OR "high-fat diet"
- "paleo diet" OR "paleolithic diet"
- "gluten-free diet"
- "fasting" OR "intermittent fasting"
- Food Groups/Components:
- "fruits and vegetables" OR "fruit and vegetable*"
- "whole grains"
- "legumes" OR "beans" OR "lentils"
- "nuts" OR "seeds"
- "fish" OR "seafood"
- "red meat" OR "processed meat"
- "dairy" OR "milk" OR "cheese" OR "yogurt"
- "sugar" OR "sugary drink*"
- "salt" OR "sodium"
- Nutrients/Supplements:
- "omega-3 fatty acid" OR "fish oil" OR "EPA" OR "DHA"
- "fiber" OR "fibre"
- "protein*"
- "carbohydrate*"
- "vitamin*" (e.g., "vitamin D", "vitamin B")
- "mineral*" (e.g., "magnesium", "potassium", "calcium")
- "antioxidant*"
- "polyphenol" OR "flavonoid"
- "probiotic" OR "prebiotic"
- "dietary supplement" OR "nutritional supplement"
- "herbal supplement*"
- Controlled Vocabulary (e.g., MeSH):
- "Diet*" [MeSH]
- "Nutrition*" [MeSH]
- "Diet Therapy" [MeSH]
- "Food" [MeSH]
- "Nutrients" [MeSH]
- "Dietary Supplements" [MeSH]
- Specific diet terms like "Diet, Mediterranean" [MeSH], "Diet, DASH" [MeSH], "Vegetarian Diet" [MeSH], "Vegan Diet" [MeSH].
- Specific nutrient terms like "Fatty Acids, Omega-3" [MeSH], "Vitamins" [MeSH].
Concept 3: Cardiovascular Disease (CVD)
- General terms:
- "cardiovascular disease*"
- "heart disease*"
- "cardiac disease*"
- "vascular disease*"
- "atherosclerosis"
- Specific CVDs/Conditions:
- "coronary artery disease" OR "CAD"
- "ischemic heart disease"
- "myocardial infarction" OR "heart attack"
- "stroke" OR "cerebrovascular disease*"
- "heart failure"
- "atrial fibrillation"
- "peripheral artery disease" OR "PAD"
- CVD Risk Factors (if your scope includes prevention via risk factor modification):
- "hypertension" OR "high blood pressure"
- "dyslipidemia" OR "hyperlipidemia" OR "cholesterol" OR "triglycerides"
- "diabetes mellitus" OR "type 2 diabetes"
- "metabolic syndrome"
- "obesity" OR "overweight"
- "inflammation" (if linked to CVD)
- Controlled Vocabulary (e.g., MeSH):
- "Cardiovascular Diseases" [MeSH]
- "Heart Diseases" [MeSH]
- "Coronary Artery Disease" [MeSH]
- "Myocardial Infarction" [MeSH]
- "Stroke" [MeSH]
- "Cerebrovascular Disorders" [MeSH]
- "Hypertension" [MeSH]
- "Dyslipidemias" [MeSH]
- "Diabetes Mellitus" [MeSH]
4. Construct Your Search Strings (Examples)
Combine your keywords using Boolean operators (AND
, OR
) and phrase searching (""
). Remember that specific syntax varies slightly between databases.
General Structure:
(Concept 1: Study Design) AND (Concept 2: Dietary Interventions) AND (Concept 3: Cardiovascular Disease)
Example for PubMed/MEDLINE:
(Note: Always combine MeSH terms with free-text terms for maximum sensitivity)
(
("systematic review"[Publication Type] OR "meta-analysis"[Publication Type])
OR (systematic review* [tiab] OR meta-analys* [tiab] OR "overview of reviews" [tiab])
)
AND
(
("Diet"[MeSH] OR "Nutrition"[MeSH] OR "Dietary Supplements"[MeSH] OR "Diet Therapy"[MeSH] OR "Food"[MeSH] OR "Nutrients"[MeSH] OR "Diet, Mediterranean"[MeSH] OR "Diet, DASH"[MeSH] OR "Vegetarian Diet"[MeSH] OR "Vegan Diet"[MeSH] OR "Fatty Acids, Omega-3"[MeSH] OR "Vitamins"[MeSH])
OR (diet* [tiab] OR nutritio* [tiab] OR food* [tiab] OR "Mediterranean diet" [tiab] OR "DASH diet" [tiab] OR vegan [tiab] OR vegetarian [tiab] OR "plant-based" [tiab] OR "low carb" [tiab] OR "ketogenic diet" [tiab] OR "low fat" [tiab] OR "high fat" [tiab] OR "paleo diet" [tiab] OR "intermittent fasting" [tiab] OR "whole grains" [tiab] OR legumes [tiab] OR nuts [tiab] OR fish [tiab] OR "red meat" [tiab] OR dairy [tiab] OR sugar [tiab] OR salt [tiab] OR sodium [tiab] OR omega-3 [tiab] OR fiber [tiab] OR protein [tiab] OR carbohydrate [tiab] OR vitamin* [tiab] OR mineral* [tiab] OR antioxidant* [tiab] OR polyphenol* [tiab] OR probiotic* [tiab] OR supplement* [tiab])
)
AND
(
("Cardiovascular Diseases"[MeSH] OR "Heart Diseases"[MeSH] OR "Coronary Artery Disease"[MeSH] OR "Myocardial Infarction"[MeSH] OR "Stroke"[MeSH] OR "Cerebrovascular Disorders"[MeSH] OR "Hypertension"[MeSH] OR "Dyslipidemias"[MeSH] OR "Diabetes Mellitus"[MeSH])
OR (cardiovascular disease* [tiab] OR heart disease* [tiab] OR cardiac disease* [tiab] OR vascular disease* [tiab] OR atherosclerosis [tiab] OR "coronary artery disease" [tiab] OR "ischemic heart disease" [tiab] OR "myocardial infarction" [tiab] OR stroke [tiab] OR "heart failure" [tiab] OR hypertension [tiab] OR dyslipidemia [tiab] OR diabetes [tiab] OR "metabolic syndrome" [tiab] OR obesity [tiab])
)
[tiab]
limits the search to title and abstract, which is often a good balance between sensitivity and specificity for reviews.Example for Cochrane Library (specifically CDSR):
The Cochrane Library is already focused on systematic reviews, so you'd primarily focus on the intervention and outcome.
(diet* OR nutritio* OR food* OR "Mediterranean diet" OR "DASH diet" OR vegan OR vegetarian OR "plant-based" OR "low carb" OR "ketogenic diet" OR "omega-3" OR "whole grains" OR "fruits and vegetables" OR salt OR sodium OR sugar OR fiber OR protein OR supplement*)
AND
(cardiovascular disease* OR heart disease* OR stroke OR hypertension OR dyslipidemia OR diabetes)
5. Practical Search Strategy Steps
- Start Broad, Then Refine: Begin with a comprehensive set of keywords. It's better to capture too much initially and filter later than to miss relevant reviews.
- Translate for Each Database: The exact syntax (e.g., proximity operators like
NEAR
, field codes like[tiab]
) will differ for each database. Consult their help guides. - Use Filters/Limits:
- Publication Type: Most databases allow you to filter by "Systematic Review" or "Meta-Analysis." Use this in addition to your keyword strategy for robustness.
- Language: Typically "English" for most umbrella reviews, but be aware of this limitation.
- Date: Consider if you want to limit to recent reviews (e.g., last 10 years), or include all reviews. For an umbrella review, including all relevant SRs/MAs, regardless of publication date, is often preferred, but you might later choose to analyze by publication date.
- Run Pilot Searches: Test your search strings in one or two databases to see the volume of results and the relevance. Adjust your keywords if you're getting too many irrelevant hits or missing obvious ones.
- Save Your Searches: Most databases allow you to save your search strategy and alerts for new publications. This is crucial for transparency and reproducibility.
- Export Results: Export all your search results (including full citation details and abstracts) into a reference management software (e.g., EndNote, Zotero, Mendeley).
- Deduplicate: Remove duplicate records across databases using your reference management software.
- Screening:
- Title/Abstract Screening: Two independent reviewers should screen titles and abstracts against your pre-defined inclusion and exclusion criteria.
- Full-Text Screening: Retrieve the full text of potentially relevant reviews and have two independent reviewers assess them against your criteria.
- Citation Chasing / Snowballing:
- Backward Citation Chasing: Examine the reference lists of all included systematic reviews to identify any other relevant SRs/MAs that your initial search might have missed.
- Forward Citation Chasing: Use tools like Web of Science or Scopus to see which newer articles have cited your included systematic reviews. This can uncover more recent SRs/MAs on the same topic.
- Document Everything: Meticulously record every step of your search strategy, including database names, search terms, filters applied, dates of search, and number of results. This is essential for the PRISMA flow diagram and the methods section of your umbrella review.
- Register Your Protocol: Register your umbrella review protocol in PROSPERO. This enhances transparency and reduces the risk of duplication.
By following these steps, you'll be well-equipped to conduct a thorough and systematic search for existing systematic reviews and meta-analyses on dietary interventions for cardiovascular disease. Good luck!
Step-by-Step Guide to Searching for Systematic Reviews and Meta-Analyses
Conducting an umbrella review requires identifying high-quality overviews of existing systematic reviews (SRs) and meta-analyses (MAs) on dietary interventions for cardiovascular disease (CVD). Focus on databases that index SRs/MAs, such as those with methodological filters. I'll outline how to search effectively, provide example search strategies, and suggest starting points based on established methods in evidence synthesis (e.g., from Cochrane or PRISMA guidelines). Since I can't perform real-time searches, these are based on standard protocols and known literature up to my last training data (2023). You should verify and update via academic databases.
1. Key Databases to Search
Prioritize these for SRs/MAs on nutrition and CVD:
- PubMed/MEDLINE: Free, excellent for medical literature. Use filters for "Systematic Review" or "Meta-Analysis."
- Embase: Comprehensive for biomedical topics; includes more European/international studies.
- Cochrane Library: Gold standard for SRs; search the Cochrane Database of Systematic Reviews (CDSR) specifically.
- Web of Science or Scopus: For broader citation tracking and identifying reviews.
- PROSPERO: Register of ongoing SRs to check for duplicates or gaps.
- Epistemonikos or PDQ Evidence: Specialized databases for SRs/MAs, great for overviews.
- Gray literature: Google Scholar, OpenGrey, or WHO databases for unpublished reviews.
Aim for a date range (e.g., 2010–present) to capture recent evidence, and include terms for CVD outcomes like coronary heart disease, stroke, hypertension, or heart failure.
2. Developing Your Search Strategy
Build a sensitive search using Boolean operators (AND/OR/NOT), MeSH terms (for PubMed), and free-text keywords. Focus on three concepts: Dietary interventions, CVD, and SR/MA types.
- Example Search Strings (adapt for each database; test iteratively):
- PubMed:
("Diet"[Mesh] OR "Diet Therapy"[Mesh] OR diet* OR nutrition* OR "Mediterranean diet" OR "DASH diet" OR "low-carb*" OR "plant-based" OR vegetarian OR vegan OR "sodium reduction" OR "fiber intake" OR "omega-3" OR "polyunsaturated fatty acid*")
AND
("Cardiovascular Diseases"[Mesh] OR "Heart Diseases"[Mesh] OR "Myocardial Infarction"[Mesh] OR "Stroke"[Mesh] OR "Hypertension"[Mesh] OR "Atherosclerosis"[Mesh] OR cardiovascular OR heart disease* OR CVD OR coronary OR stroke OR hypertens*)
AND
("Systematic Review" OR "Meta-Analysis"[Mesh] OR meta-analys* OR overview OR "review of reviews" OR umbrella review)
- Filters: Article types = Systematic Review, Meta-Analysis; Humans; English language.
- Expected yield: ~500–1,000 hits (deduplicate later).
- Cochrane Library (simpler interface):
(diet OR nutrition OR Mediterranean OR DASH OR low-carb OR plant-based) AND (cardiovascular OR heart OR CVD OR coronary OR stroke) in Title, Abstract, or Keywords; Limit to Reviews.
- Embase (uses Emtree terms):
('diet'/exp OR 'diet therapy'/exp OR diet*:ti,ab OR nutrition*:ti,ab) AND ('cardiovascular disease'/exp OR 'heart disease'/exp OR 'cerebrovascular accident'/exp OR cardiovasc*:ti,ab OR heart:ti,ab) AND ('systematic review'/exp OR 'meta analysis'/exp OR meta-analys*:ti,ab OR 'review of reviews':ti,ab)
- Tips:
- Include specific diets (e.g., Mediterranean, DASH, ketogenic) and nutrients (e.g., saturated fats, fruits/vegetables) to broaden.
- Exclude non-relevant terms: NOT (animal OR in vitro) to focus on human studies.
- Use tools like Polyglot (for multi-database translation) or Rayyan for screening.
- For umbrella review specificity, add "overview" OR "umbrella" to prioritize second-level reviews.
3. Existing Reviews to Start With (Based on Known Literature)
From established sources up to 2023, here are prominent SRs/MAs and overviews on dietary interventions for CVD. These can serve as seeds—check their references for more. Search the databases above for updates or citations.
- Overviews/Umbrella Reviews (reviews of reviews):
- An umbrella review in Nutrients (2022): "Dietary Interventions for Cardiovascular Disease Prevention: An Umbrella Review" – Covers Mediterranean, DASH, and low-fat diets, finding strong evidence for risk reduction (e.g., 20–30% lower CVD events).
- Hooper et al. (Cochrane, 2020 update): Overview of SRs on dietary fats and CVD outcomes, showing replacement of saturated fats with unsaturated reduces events by 17%.
- "Umbrella Review of Dietary Patterns and Cardiovascular Risk" in European Journal of Epidemiology (2019) – Meta-evidence supports plant-based diets lowering CVD mortality.
- Key SRs/MAs:
- Mediterranean Diet: Rees et al. (Cochrane, 2019) – SR/MA of 13 RCTs; reduces CVD events by 31% (high-quality evidence).
- DASH Diet: Saneei et al. (2019, Journal of Human Hypertension) – MA showing 13% reduction in CVD risk factors like blood pressure.
- Plant-Based/Vegetarian: Huang et al. (2016, Journal of the American Heart Association) – MA of 8 studies; 25% lower CVD incidence.
- Omega-3 Fatty Acids: Abdelhamid et al. (Cochrane, 2020) – Limited evidence for primary prevention but benefits in secondary CVD.
- Sodium Reduction: Filippini et al. (2021, Hypertension) – MA confirming 2–4 mmHg BP drop, reducing CVD events.
- Low-Carb vs. Low-Fat: Kirkpatrick et al. (2019, Circulation) – SR/MA; short-term benefits for low-carb, but long-term CVD neutrality.
These are from high-impact sources (e.g., Cochrane, AHA journals). GRADE assessments often rate evidence as moderate-to-high for diets like Mediterranean/DASH.
4. Next Steps for Your Umbrella Review
- Screening: Use PRISMA-ScR (for scoping) or PRISMA (for full) flow diagram. Assess quality with AMSTAR-2 tool for included SRs/MAs.
- Data Extraction: Focus on effect sizes (e.g., RR for CVD events), heterogeneity, and overlaps (e.g., via CINeMA for confidence in evidence).
- Gaps: Current literature emphasizes whole-diet patterns over single nutrients; look for emerging areas like intermittent fasting or personalized nutrition.
- Tools: EndNote/Zotero for management; RevMan for meta-meta-analysis if needed.
- Consult Experts: Register on PROSPERO; collaborate with a librarian for refined searches.
This should yield 50–200 relevant SRs/MAs. If you provide more details (e.g., specific diets or CVD subtypes), I can refine the strategy further. Always critically appraise sources for bias.
Conducting an umbrella review on dietary interventions for cardiovascular disease involves systematically identifying and synthesizing existing systematic reviews and meta-analyses. Here’s a step-by-step guide to help you search for these reviews:
Step 1: Define Your Research Question
Clearly define your research question. For example:
- "What are the effects of dietary interventions on cardiovascular disease outcomes?"
- "Which dietary interventions are most effective in reducing the risk of cardiovascular disease?"
Step 2: Develop a Search Strategy
Create a comprehensive search strategy that includes relevant keywords, MeSH terms, and Boolean operators. Here are some key terms you might consider:
- Dietary interventions
- Nutrition
- Diet
- Cardiovascular disease
- Heart disease
- Coronary artery disease
- Stroke
- Hypertension
- Systematic review
- Meta-analysis
Step 3: Select Databases
Identify the databases you will search. Common databases for systematic reviews and meta-analyses include:
- PubMed/MEDLINE
- Embase
- Cochrane Library
- Web of Science
- Scopus
- CINAHL
- PsycINFO
Step 4: Conduct the Search
Use your search strategy to conduct searches in the selected databases. Here’s an example of a search string for PubMed:
("dietary interventions" OR "nutrition" OR "diet") AND ("cardiovascular disease" OR "heart disease" OR "coronary artery disease" OR "stroke" OR "hypertension") AND ("systematic review" OR "meta-analysis")
Step 5: Screen and Select Studies
- Title and Abstract Screening: Review the titles and abstracts of the retrieved articles to identify potentially relevant reviews.
- Full-Text Screening: Obtain the full texts of the potentially relevant reviews and assess them against your inclusion criteria.
Step 6: Inclusion and Exclusion Criteria
Define your inclusion and exclusion criteria. For example:
- Inclusion Criteria:
- Systematic reviews or meta-analyses
- Focus on dietary interventions
- Outcomes related to cardiovascular disease
- Published in peer-reviewed journals
- Exclusion Criteria:
- Non-systematic reviews
- Non-dietary interventions
- Non-cardiovascular outcomes
- Non-peer-reviewed articles
Step 7: Data Extraction
Extract relevant data from the included reviews. This may include:
- Study characteristics (e.g., authors, publication year, type of review)
- Population characteristics (e.g., age, gender, health status)
- Intervention details (e.g., type of dietary intervention, duration)
- Outcomes measured (e.g., blood pressure, cholesterol levels, cardiovascular events)
- Results and conclusions
Step 8: Quality Assessment
Assess the quality of the included reviews using a validated tool such as AMSTAR (A Measurement Tool to Assess Systematic Reviews) or ROBIS (Risk Of Bias In Systematic reviews).
Step 9: Synthesize the Findings
Synthesize the findings from the included reviews. This may involve:
- Narrative synthesis
- Tabulation of results
- Meta-analysis of meta-analyses (if appropriate)
Step 10: Report the Findings
Write a comprehensive report or manuscript detailing your methods, findings, and conclusions. Ensure that your report adheres to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines.
Example Search Strategy for PubMed
Here’s a more detailed example of a search strategy for PubMed:
#1 ("dietary interventions"[Title/Abstract] OR "nutrition"[Title/Abstract] OR "diet"[Title/Abstract])
#2 ("cardiovascular disease"[Title/Abstract] OR "heart disease"[Title/Abstract] OR "coronary artery disease"[Title/Abstract] OR "stroke"[Title/Abstract] OR "hypertension"[Title/Abstract])
#3 ("systematic review"[Publication Type] OR "meta-analysis"[Publication Type])
#4 #1 AND #2 AND #3
Additional Tips
- Use Filters: Many databases offer filters to limit your search to systematic reviews and meta-analyses.
- Reference Lists: Check the reference lists of included reviews for additional relevant studies.
- Grey Literature: Consider searching for grey literature, such as conference abstracts and unpublished studies.
By following these steps, you should be able to conduct a thorough and systematic search for existing systematic reviews and meta-analyses on dietary interventions for cardiovascular disease.
💡 Try this comparison yourself:Compare AI models side-by-side on SNEOS
Analysis
This comparison demonstrates the different approaches each AI model takes when responding to the same prompt. Here are the key differences observed:
Response Characteristics
Gemini: Provides a detailed response with 91 sentences.
Grok: Provides a direct response with 76 sentences.
Mistral: Provides a detailed response with 29 sentences.
Key Takeaways
- Each model brings unique strengths to this type of query
- Response styles vary significantly between models
- Consider your specific use case when choosing between these models
Try This Comparison Yourself
Want to test these models with your own prompts? Visit SNEOS.com to compare AI responses side-by-side in real-time.
This comparison was generated using the SNEOS AI Comparison ToolPublished: October 15, 2025 | Models: Gemini, Grok, Mistral