Read a Subgroup Claim Without Overstating the Evidence
A result being statistically significant in one subgroup and not in another does not, by itself, show that the effects differ between subgroups. That difference needs its own assessment.
The worked examples are teaching aids. Check them against your own source material and the requirements of your specific task.
Start with the task
Cochrane's meta-analysis guidance discusses subgroup comparisons and their limitations.
Find the comparison being claimed
Imagine a fictional review reporting an educational effect among participants with one background but an uncertain result among another group. One subgroup may simply have fewer participants and a wider interval.
Write the effect estimate and uncertainty for each group before interpreting the labels. Then check whether the authors assessed an interaction or a direct difference between subgroup effects.
Check how the subgroup arose
Was it specified before the analysis? How many subgroup analyses were examined? Is the difference plausible and supported by other evidence? An exploratory finding can generate a question without establishing a reliable rule.
Do not select the subgroup most similar to your assignment case and treat resemblance as validation. Similarity matters, but so do the credibility and precision of the subgroup estimate.
Avoid inventing an interaction test from incomplete reported data.
Write a bounded evidence claim
If the evidence is exploratory, say so. The rationale might identify a possible difference worth considering rather than claim that an intervention works only for a named group.
Keep the whole-study result and the subgroup result distinguishable in your notes. This prevents a narrow, uncertain finding from silently replacing the main evidence.
Use the rationale guide to connect the source to the supplied case. In Nursevi, retain the subgroup definition and uncertainty beside the claim. A subgroup observation is not a personalised treatment rule.