Keep the patient outcome in view.
Read cardiovascular research through the question it set out to answer: preventing an event, supporting recovery, improving symptoms or changing a measurement. Each needs its own evidence.
AI-written reading guide · Source notes & coverage
Choose a reading question
Move from a broad heart-health headline to the result the study can actually support.
Find whether the study enrolled people before a first event, after an event, or with another defined condition.
Write the study setting beside the result. If a second paper recruited a different group, keep that difference visible before comparing the numbers.
If the endpoint combines events, look up every component and whether the table counts first events, all events or people affected.
In your notes, give each component its own row. Leave room for its count and uncertainty so that the combined headline does not stand in for every result.
Find the comparison-group risk, absolute difference and follow-up. Distinguish a hazard ratio from a simple difference in proportions.
Translate only the numbers the report supports. A result per person-year should keep that unit; do not relabel it as a one-year probability.
Look for the outcome definitions, measurement scales, adverse effects and time points, as well as event counts.
Create separate lines for event prevention and patient-reported experience. If a study reports only one, do not supply the other from the headline.
3 published reading guides · About 18 minutes · Each can be read on its own.
Open a combined cardiovascular endpoint and identify which events drove it.
Read the guideRead the absolute figures and the time frame alongside the relative effect.
Read the guideUnderstand a comparison that asks whether a new approach stays within a justified margin.
Read the guideFor a longer reading session: Read the methods, understand the claim
Use one column in your own notes for each paper. Record what is reported; leave an explicit question where information is missing.
On a narrow screen, scroll the table sideways to read every column.
| Keep track of | Record from the paper | Then ask |
|---|---|---|
| Clinical setting | Entry diagnosis, previous events and background care | Do the papers address a similar starting point? |
| Event definition | Each component and the rule for counting it | Could later events be absent from this table? |
| Effect measure | Risk difference, risk ratio or hazard ratio | What does this particular measure describe? |
| Follow-up | Duration, missing outcomes and treatment changes | How much of the intended observation is available? |
| Patient experience | Symptoms, function, adverse events and burden | Which important outcomes were measured separately? |
Original reading prompts. This is not a validated scoring tool, a systematic review or a treatment recommendation.
These are questions to take back to a paper or a future study. They do not imply that any particular intervention works.
Reading questions and prompts prepared and source-checked by AI. No human editorial or clinical review has been completed. The linked guides include their own sources and access notes.
No treatment-specific clinical analyses are published in this dossier yet. The guides above explain how to read evidence; they do not establish the benefits or harms of a particular treatment.
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Selected online sections on populations, comparisons, outcomes and time points checked. Supports the reading framework; no treatment effects were extracted. · Accessed 27 Sep 2026
Final guidance PDF, sections on composites and component reporting checked during preparation of the linked composite-endpoint guide on 27 September 2026. · Accessed 27 Sep 2026
Selected online sections on absolute and relative effects, uncertainty and interpretation checked. The prompts here are original editorial exercises. · Accessed 27 Sep 2026
Online sections 6.7–6.8 checked for event rates, person-time and time-to-event measures. Supports keeping the reported effect measure and unit intact. · Accessed 27 Sep 2026