A quit-vaping study reports a p-value: identify what it tests

Attach the number to its test

A report may include different tests for an overall comparison, variation across studies or another question. Find the relevant description before interpreting a number. A p-value concerns how extreme data would be under the test’s null hypothesis and assumptions; it does not supply the probability that the hypothesis itself is true.

Cochrane’s interpretation chapter explains the role of p-values and warns against relying on significance labels. We use it for evidence-reading terminology. This article does not calculate a test, appraise a named intervention or decide which result is clinically important for you.

Cochrane: Cochrane Handbook, Chapter 15: Interpreting results and drawing conclusions

Keep magnitude on another line

Write the reported effect measure, estimate and uncertainty separately from the test result. A number describing evidence against a null hypothesis is not the number describing the size of the difference. If the summary omits the estimate, seek the report instead of translating the p-value into a benefit.

In a fictional headline, a program is described as “highly successful” because a test has a small p-value. The reader asks which outcome changed and by how much. The example supplies no real vaping result; it shows why the adjective cannot be checked from the test number alone.

Do not convert the number into a personal forecast

Avoid reading a p-value as your probability of succeeding, failing or receiving a benefit. It is also not a percentage of participants who quit. Locate the actual outcome definition and participant information if you want to understand what the report observed.

Similarly, a result without a significance label does not establish that there is exactly no difference. Leave the estimate and its uncertainty visible. You can write “the reported test did not establish the stated difference under this analysis” without claiming that the underlying question is settled for all people.

Finish with a question you can verify

Your reading note should name the comparison tested, the effect estimate and any missing information. If the practical importance remains unclear, bring the report to an appropriate qualified evidence discussion. Do not choose an arbitrary cutoff and use it to direct your personal care.

The worksheet explains what a statistic is being asked to do. It cannot establish efficacy, safety or individual suitability. A personal tracking record can describe your routine, but it does not become a clinical significance test or a proof that a product caused a change.