Research results are estimates rather than perfect measurements of reality.
A confidence interval provides information about the uncertainty surrounding an estimate. Narrower intervals generally indicate greater precision, while wider intervals indicate greater uncertainty.
The interval should be interpreted together with study design, sample size, the measured outcome and other evidence.
This is why a single headline number rarely provides enough information to understand the strength of a research finding.