How to Conduct a Systematic Literature Review Using SciSpace’s Multi-Paper Comparison Feature

Systematic literature reviews require comparing methodology, findings, and conclusions across dozens of papers — a tedious, error-prone process when done manually. SciSpace‘s multi-paper comparison feature automates the structured comparison that forms the backbone of any systematic review, generating organized comparison tables and synthesis narratives from selected papers. This tutorial demonstrates how to build a systematic comparison of research papers on a specific topic.

Step 1: Define Your Review Scope and Search

Start with a clear research question. For example: “What are the effective interventions for reducing student anxiety in online learning environments?” Enter this question in SciSpace’s search. The AI identifies relevant papers and explains why each matches your question — not just keyword matching, but semantic relevance analysis. You’ll typically get 15-30 candidate papers ranked by relevance.

Step 2: Screen Papers Using AI Explanations

Open each candidate paper and read the AI explanation. This 3-minute-per-paper screening replaces the traditional 20-minute abstract-and-skim approach. Look for papers that directly address your research question with empirical evidence. Discard theoretical-only papers, case studies with too few subjects, or papers about related but different topics. After screening, you’ll have 8-12 papers for inclusion.

Step 3: Select Papers for Comparison

Add included papers to your comparison workspace. Click “Compare” and select 3-5 papers at a time (SciSpace compares up to 5 papers simultaneously). Group them logically — for example, first compare all papers using cognitive-behavioral interventions, then compare mindfulness-based approaches, then compare technology-mediated interventions. This thematic grouping produces more meaningful comparisons than mixing all papers together.

Step 4: Review the Auto-Generated Comparison Table

SciSpace generates a structured comparison table with these dimensions: Research Question, Sample Size and Population, Intervention Type, Study Duration, Outcome Measures, Key Results, and Limitations. Each cell contains an AI-extracted summary from the corresponding paper. The table makes patterns immediately visible — for example, you might notice that studies with sample sizes over 100 consistently report moderate effect sizes, while smaller studies show larger but less reliable effects.

Step 5: Ask Synthesis Questions

Beyond the comparison table, ask synthesis questions in the chat panel: “What are the common findings across all these studies?” “Where do the studies disagree?” “Which intervention type shows the most consistent positive outcomes?” SciSpace analyzes across all selected papers to generate synthesis narratives: “Four of five studies using CBT-based interventions report statistically significant anxiety reduction (p < 0.05), with effect sizes ranging from 0.4 to 0.7. The one dissenting study used a shorter intervention duration (2 weeks vs. 8+ weeks in others).”

Step 6: Extract Methodology Details for Quality Assessment

Systematic reviews require methodology quality assessment. For each paper, ask: “Extract the full methodology details including study design, randomization procedure, blinding, and statistical analysis approach.” SciSpace provides structured methodology extraction that you can use for quality scoring (using frameworks like Cochrane Risk of Bias or CASP). Ask follow-up: “What are the potential biases in this study’s methodology?” to get AI-assisted bias identification.

Step 7: Export Your Review for Manuscript Writing

When your systematic comparison is complete, export the entire workspace — comparison tables, synthesis narratives, methodology extracts, and your Q&A history — as a structured document. SciSpace generates Markdown or PDF output formatted for inclusion in your review manuscript. The comparison tables become your review’s results section tables, and the synthesis narratives provide the foundation for your discussion section.

Pro tip: Use SciSpace’s citation graph alongside the comparison feature. When comparing two papers that reach different conclusions, check their citation networks — if one cites specific foundational works that the other doesn’t, this citation divergence may explain the conflicting findings and adds important context to your review’s discussion of discrepancies.