Two Reasons to Be Suspicious of Small Studies

First, small studies have larger random errors.

Second, small studies make “cherry picking” easier. If the resources that went into one large study were spread among twenty small studies, there's a high probability that at least one of those studies will have a nominally statistically-significant result through random chance.