⚖️ Pooling Without Fooling: When Meta-Analysis Deserves Your Trust

🔎 Can you believe that meta-analysis? Meta-analyses sit near the summit of evidence-based medicine—but pooling more studies does not automatically produce more truth. 📊 Lee and colleagues offer a powerful clinical lesson: credibility requires alignment of evidence, methods, and inference. Ask first: Should these studies have been pooled at all? 🧠 Look for prospective planning, robust source data, adequate events, explainable heterogeneity, transparency, and honest uncertainty. 🎯 The goal? Fewer, better, more believable meta-analyses.