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Milk Thistle (Silymarin)Meta-analysis2007

Silymarin for the treatment of acute clinical hepatitis: a meta-analysis of randomized controlled trials

Rambaldi A, Jacobs BP, Gluud C · Cochrane Database of Systematic Reviews
What this study found

Cochrane meta-analysis of 18 RCTs (n=1,088) in alcoholic and/or viral liver disease found silymarin did not significantly reduce mortality or complications — tempering the popular perception of milk thistle as broadly hepatoprotective.

Original paper
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How to read a study like this

The same questions worth asking about any research paper, not just this one. Worth a minute even if you trust the grade.

Who was studied, and do you resemble them?

Supplement effects often depend on baseline status. Vitamin D helps people who are deficient; iron helps people who are anemic. A result in people unlike you may not apply to you.

What was measured, and does it matter in daily life?

A study that shows a blood marker moved isn't the same as a study that shows people felt or functioned better. Ask what the outcome means in practice.

How large was the effect — not just whether it was significant.

'Statistically significant' only means the effect is unlikely to be zero. It doesn't tell you the effect is large enough to notice. Look for effect sizes, not just p-values.

Who paid for the trial, and what did they stand to gain?

Industry-funded trials are several times more likely to report positive results than independent ones. It's not usually fraud — it's subtle design and reporting choices. Weight accordingly.

Has anyone else replicated this?

Single positive trials are hypotheses. Replication by independent groups is what turns a hypothesis into reliable evidence. If the only positive trial is the one you're reading, wait.

Does the dose in the trial match what's being sold?

Supplement marketing routinely cites trials that used 5–10× the dose in the product. If the effective dose was 2 g/day and the capsule has 200 mg, expect roughly no effect.

Not medical advice. This breakdown is for educational purposes. Nothing here constitutes an allegation of fraud or misconduct by any researcher or sponsor. Reasonable scientists can grade the same paper differently; we show our rubric and link every claim to the original study.