How To Read a Peptide Study Without Getting Fooled
Everyone cites “studies.” Almost nobody reads them. Here’s how to tell a strong result from a headline. Education, not medical advice.
1. Species and sample size first
Before anything else: humans or animals? How many? A dramatic finding in 8 mice is a hypothesis, not a recommendation. Human, randomized, and adequately powered is the bar.
2. Endpoints and effect size
What did they actually measure, and how big was the effect? A statistically significant change in a surrogate marker can be clinically meaningless. Look for outcomes that matter, sized to matter.
- Surrogate marker ≠ real-world outcome.
- “Significant” means unlikely-by-chance, not “large.”
- Check the confidence interval, not just the p-value.
3. Who funded it, and what’s missing
Funding shapes framing. And the most important data is often what’s not reported: dropouts, adverse events, negative secondary outcomes. The honest read includes the inconvenient parts.
Sources for this guide
- CONSORT: reporting guidance for randomized trials (Research reporting standard)
- ClinicalTrials.gov (Federal trial registry)
Reviewed August 24, 2026. Educational editorial content; no named clinician review is claimed.
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