🧬 RNAwiki
Meta-analysesRandomised trials (RCTs)Cohort / observationalCase reports & seriesAnecdote · opinion · mechanismstrongerweaker↑ earns more stars
The evidence hierarchy — the higher the tier, the more the stars.

This is the module that makes you "better than a researcher who only knows their niche." A compound's star rating is only as trustworthy as your ability to check it yourself.

The hierarchy of evidence (weakest → strongest)

  1. In vitro ("in glass") — cells in a dish. Shows a mechanism is possible, not that it works in a person. Most "this molecule kills cancer cells" headlines are here.
  2. Animal (in vivo) — mice/rats. Establishes it works in a living body — but most animal findings don't translate to humans. This wiki caps animal-only compounds at ⭐⭐ for exactly this reason. BPC-157's problem is that it's stuck here.
  3. Observational human studies — cohort/epidemiology. Finds associations (spermidine-eaters live longer) but cannot prove causation (confounding — maybe spermidine-eaters also exercise more).
  4. Randomized controlled trials (RCTs) — randomly assign drug vs placebo. The gold standard, because randomization cancels out confounders. Double-blind = neither patient nor researcher knows who got what.
  5. Meta-analysis — pools many RCTs for the most reliable estimate. The top of the pyramid.

The numbers you must be able to read

The traps

The regulatory maps (so "approved" means something)


✅ Key takeaways
  • Evidence hierarchy, weakest → strongest: in vitro → animal → observational → RCT → meta-analysis. This site caps animal-only compounds at ⭐⭐.
  • 'Statistically significant' (p<0.05) ≠ meaningful — always ask for the effect SIZE too.
  • Relative risk ('cuts risk 50%') can hide a trivial absolute change (2%→1%); think in absolute terms.
  • 'Approved', 'reclassified', 'off-label', and 'supplement' (sold as food, untested for efficacy) are different states — hold them apart.
🧠 Check yourself
Q1 Rank by strength of evidence: a mouse study, a testimonial, a meta-analysis, an RCT.
Meta-analysis > RCT > mouse study > testimonial.
Q2 A label says a supplement 'cuts your risk by 50%'. Why might that mislead?
It's a RELATIVE figure — 50% off a tiny baseline (say 2% → 1%) is a trivial absolute change. Always ask for the absolute effect.
Q3 Why does this site cap animal-only compounds at two stars?
Most animal findings don't translate to humans — animal data shows something works in a living body, not that it works in a person.