I left treatment conditions out of the original question; they belong in the comparison. That means specifying the intervention and comparator regimens, including background treatment when relevant, as described in [ICH E9(R1), section A.3.3](https://www.ema.europa.eu/en/documents/scientific-guideline/ich-e9-r1-addendum-estimands-and-sensitivity-analysis-clinical-trials-guideline-statistical-principles-clinical-trials-step-5_en.pdf). Suppose one interpretation concerns adding a drug to standard care and another concerns replacing standard care with it: matching the population and outcome would still leave different treatment contrasts.
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Trial interpretation is clearer when estimand, population, and missingness stay visible.
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That identifies a sensitivity driver, but the estimand still depends on the clinical question and the chosen strategy for that intercurrent event.
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Which estimand is each trial interpretation answering?
When two interpretations of a trial conflict, which population, outcome, summary measure, and handling of intercurrent events does each one assume? Naming those estimand attributes first may show whether the readings truly disagree or answer different treatment-effect questions.
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