Systematic Review: A step-by-step guide

Optimize your topic using feasibility, passion, and debate. Test alignment with adjacent debates, grandma test, and op ed test, and forecast impact with data mining.

Apply a convergence approach to choose topics for systematic reviews, balancing passion, debate, and feasibility to hit the sweet spot and maximize impact.

Define your topic with the PICO model by specifying population, intervention, comparison, and outcome, then craft a linking sentence to crisply define the systematic review and guide keyword search.

Use the nearest neighbor match by dropping your linking sentence into Google Scholar to find the closest existing paper, avoid duplication, and establish the gap for your systematic review.

Identify topic keywords and use the nearest neighbor match method to capture permutations and avoid missing key studies. Learn type one and type two errors while completing week two worksheets.

Identify your pico keywords by extracting main elements from your linking sentence, such as poverty, HIV, and treatment outcomes, and separately define population and setting to guide searches.

Identify keyword variants for terms like poverty to build a comprehensive, reproducible search using the nearest neighbor approach, covering two to five keywords across databases like Medline, EconLit, and PsycINFO.

Construct a robust systematic review search strategy using nearest neighbor match to define social capital and oral health terms, and set inclusion criteria for quantitative studies.

Pilot your literature search in major databases like PubMed and Web of Science using advanced search, boolean logic, quotes, hyphens, and wildcards to capture variants and ensure replicable results.

Distinguish type I and II errors in systematic reviews, diagnose false positives and false negatives, and optimize search strategies using Boolean logic, keyword variants, and Google Scholar checks.

Demonstrates debugging PubMed searches for adolescent physical activity, showing how to use title and abstract fields, quotes, and mesh terms to identify type 1 and type 2 errors.

Learn to build keyword blocks for a systematic review on well-being and burnout among early childhood educators, and troubleshoot search strategies in databases such as Web of Science and Scopus.

Gain a solid foundation for conducting systematic reviews, learn why they matter, and master step-by-step methods to publish quickly using database searches, Prisma reporting guidelines, and reproducible practices.

Refine your initial search with inclusion and exclusion criteria, screen with reference manager tools, and forecast a final sample between 20 and 200 articles for week four analysis.

Learn a stepwise PRISMA workflow for systematic reviews, loading optimized search results into a reference manager, removing duplicates, and applying screening, retrieval, and eligibility criteria.

Export PubMed results to Zotero by using PubMed's citation manager to download a BibTeX file for all results, then import into Zotero and check duplicates.

Export Web of Science results to Zotero by using the advanced builder, export to RIS, then import the RIS file into Zotero and verify that 115 items imported.

Learn to remove duplicates in systematic reviews using Zotero, track counts, create a duplicates collection, and prepare for screening, retrieval, and eligibility.

Apply clear inclusion and exclusion criteria using the pico model, refine by time, geography, outcome, and intervention, and use validated search filters to document transparent screening.

Organize screening and eligibility with a Prisma diagram, create groups, apply inclusion and exclusion criteria, and track exclusion reasons in your reference manager.

Master a fast workflow to locate PDFs for systematic reviews and import them into Endnote, using find full text, Google Scholar, DOI, and Sci-Hub to speed eligibility and extraction.

Apply the Prisma driven workflow to identify and screen studies and plan data extraction on air pollution and covid outcomes, guiding scope and Prospero registration.

Draft precise inclusion and exclusion criteria for early warning systems that detect infectious disease outbreaks, clarify data collection methods, and distinguish syndromic from sentinel approaches.

Apply inclusion and exclusion criteria in a Prisma-guided systematic review, screen records, assess full texts for eligibility, and build a robust evidence base while detecting publication bias.

Write the systematic review methods using Prisma guidelines, detailing the search strategy, databases PubMed and Web of Science, keyword variants, verbatim search, inclusion exclusion criteria, and the Prisma flow diagram.

Watch a live demonstration of crafting a systematic review methods section using Prisma guidelines, detailing search strategy, inclusion and exclusion criteria, data extraction, and quality assessment.

Extract data from the final sample using an Excel or Google Sheets template, including prisma steps and pico elements, to capture population, intervention, outcome, and results for synthesis.

Analyze your data by spotting patterns in a data extraction matrix, then carve up results by country, study design, and outcomes to structure your results section.

Watch a live demonstration that treats systematic reviews as data analysis, extracting and organizing study data in Excel to perform sub-analyses on preventive versus curative care.

Demonstrates how to conduct a Covid-related unemployment and health systematic review, analyzing job loss, furlough, hours reduced, health outcomes, and data extraction across study designs.

Learn to structure your systematic review results by organizing data thematically or by design, presenting descriptive statistics, study characteristics, and concise, quantitative summaries across 3 to 5 subsections.

Learn to structure a systematic review results section: organize by outcomes, distinguish longitudinal and cross-sectional studies, and clearly describe measures of social capital and oral health behaviors.

Watch a live demonstration session refining the results section of a systematic review, applying Prisma guidelines, evaluating methods, and producing journal-ready figures and summaries.

Turn collected data into a coherent narrative for systematic reviews using the strip method, dag/graph, and a structured inside-out approach to write methods and results, with Prospero and Prisma guidance.

Identify bias and assess study quality in systematic reviews by evaluating methodological and reporting quality. Choose appropriate tools for your study designs and note usability and purpose.

Register health-related systematic reviews with Prospero to publish the protocol in advance, promote transparency, and reduce bias through a clear submission process and timelines.

Explore a live Prospero submission demonstration for a systematic review on how COVID-19 lockdowns affected air pollution, covering question framing, search strategy, and registration steps.

Learn to craft clear, evidence-backed conclusions and introductions for systematic reviews by outlining findings, limitations, strengths, future directions, and policy implications using a nearest-neighbor approach and formatting checklists.

Watch a live demonstration on polishing a manuscript for publication, from tightening wording and spacing to refining keywords, abstract, and introduction for clarity and impact.

Format your manuscript for journal submission by standardizing terminology such as ethnic minorities and migrants, listing authors and affiliations, crafting keywords, and tightening tables, figures, and the word count.

Learn tips for crafting clear abstracts and concise titles. Use a pico framework and structured guidelines to improve clarity and acceptance.

Learn how to choose the right journal and master the manuscript submission process. Understand impact factor, fit, author guidelines, reviewer selection, and a compelling cover letter.