What does it mean if the app says the menopause transition is "Undefined" after 2 cycles?Updated a month ago

The menopause transition classification in the app is based on STRAW staging criteria and functions primarily as a screening tool. An “Undefined” result typically occurs when the algorithm cannot confidently categorize a stage based on available cycle and hormone data.

This most commonly happens in women using hormone therapy, as exogenous hormones can alter cycle regularity, suppress FSH, or change bleeding patterns, making it difficult to assess the natural menopausal transition. It may also occur when hormone patterns are highly variable or when there is insufficient cycle data to determine a consistent trend.

Importantly, the greatest clinical value of Mira is not in assigning a menopausal stage label, but in tracking longitudinal hormone patterns over time. Unlike single time-point serum testing — which many professional organizations caution against using in isolation due to natural hormone fluctuation — Mira provides ongoing physiologic insight, allowing clinicians to monitor trends, variability, and treatment response in a more meaningful way.

Using Mira, clinicians and patients can:
- Differentiate ovulatory versus anovulatory cycles
- Assess hormone coordination or dysregulation
- Identify luteal out-of-phase (LOOP) cycles
- Detect changes in follicular phase lengthening or shortening
- Identify shortened luteal phases

This longitudinal data supports patient validation, enhances clinical decision-making, and allows for more effective monitoring of responses to interventions over time.