Myopia Control Lens Efficacy Percentages: Why 85% Doesn't Mean What You Think

The Headline That Misleads

"MiYOSMART iQ shows ~78–85% reduction in axial elongation vs. single-vision controls."

"Stellest achieves 59% reduction in axial elongation."

These headlines sound impressive. An 85% reduction sounds almost curative. But here's what that number actually means — and more importantly, what it doesn't mean.

Important context on the MiYOSMART iQ figure: The ~78% efficacy figure for MiYOSMART iQ is derived from interim 6-month data presented by HOYA Vision Care at APAO 2026 (conference presentation; manufacturer-sponsored). Axial elongation: control eyes grew 0.346mm vs. treatment eyes 0.075mm over 6 months (~78% reduction). This is short-term, company-sponsored data in children aged 4–12 — details may change with full peer-reviewed publication, which has not yet appeared. Treat this number as promising but preliminary, not equivalent to a multi-year independent RCT.

What "85% Efficacy" Actually Measures

The clinical study setup:

A company tests their lens in a controlled RCT. They measure axial length (eye elongation) in children wearing the lens vs. a control group wearing regular glasses.

Example calculation (simplified for illustration):

For example, imagine a study where control eyes grow 0.30mm and treatment eyes 0.045mm over 6 months—this would be reported as 85% reduction. Real trials use similar calculations, but the exact numbers vary across studies.

What this DOESN'T mean:

The Gap Between RCT Numbers and Real-World Outcomes

Individual Baseline Progression Rates Vary 5x

This is the critical insight nobody talks about.

Illustrative example only (assumes constant progression rate and stable treatment effect — neither is biologically guaranteed; real outcomes vary). Two 8-year-olds, both starting at -1.50 diopters:

Child A (naturally slow progressor):
Child B (naturally fast progressor):
Both children received the same proportional efficacy. The real-world outcome is completely different — because baseline progression rate, not the efficacy percentage, determines absolute diopter outcomes. These projections are simplified illustrations, not clinical predictions.

Where Does Your Child Sit on the Progression Spectrum?

Approximate progression rate categories (illustrative ranges based on clinical cohort literature — not population-derived percentiles from a single study; actual distribution depends on age, ethnicity, and study design):

Progression Category Approximate Annual Rate
Slow progressor ≤ −0.25D/year
Moderate progressor −0.25 to −0.50D/year
Moderate-fast progressor −0.50 to −0.75D/year
Fast progressor ≥ −1.00D/year

These categories are pragmatic clinical cut-points, not statistically derived population percentiles. The specific rates vary by population; presenting exact percentile figures (10th, 25th, 50th) implies a precision that the published literature does not support for a general audience.

Critical question you should ask your eye doctor: "Based on my child's measurements so far, where do they sit on the progression spectrum? Are they a slow, average, or fast progressor?"

Why this matters:

If your child is a naturally slow progressor (-0.20D/year), and you add a myopia control lens with high reported efficacy (e.g., ~78–85%):

If your child is a fast progressor (-1.00D/year), and you add the same lens:

Same lens. Same 85% efficacy. Completely different clinical relevance.

The Real Questions to Ask Before Choosing Based on Efficacy %

1. What's YOUR Child's Baseline Progression Rate?

2. Is My Child a Candidate for High-Efficacy Benefit?

You'll see higher real-world benefit if:

You may see lower benefit if:

3. What's the Absolute Difference Between Options?

Don't compare 78–85% vs 59% — compare the real diopter difference for YOUR child's baseline rate.

Example calculation for a -0.60D/year progressor (illustrative hypothetical only — assumes constant progression rate and stable treatment effect, which are not biologically guaranteed):

Treatment Efficacy % (source) New Progression Rate Diopters by Age 18 (hypothetical)
No treatment -0.60D/year -9.00D
Stellest (59%) 59% (Bao et al. 2022 RCT, axial length endpoint) -0.25D/year -7.75D
MiYOSMART iQ (~78%) ~78% (HOYA interim 6-month data, APAO 2026; conference presentation, manufacturer-sponsored; peer-reviewed publication pending) -0.13D/year -6.60D
Atropine 0.01% (~27%) ~27% on refraction (LAMP study Year 1, Yam et al. 2019; children aged 4–12) -0.44D/year -8.40D
Atropine + Stellest ~60-70% (estimated; large RCTs still in progress) -0.18D/year -7.20D

Interpretation: For this child, the diopter difference between Stellest alone and MiYOSMART iQ alone is 1.40D — meaningful but not transformative. The cost difference may or may not justify it.

The Compliance Factor (Often Bigger Than Efficacy %)

Here's what studies don't always emphasize:

A treatment that's 59% effective but worn 100% of the time beats an 85% effective treatment worn 60% of the time.

Real example:

Bottom Line: How to Interpret Efficacy Numbers

  1. The efficacy % means that proportion of the control group's progression rate is prevented — not that myopia stops entirely
  2. Your child's baseline progression rate determines the absolute benefit — A fast progressor benefits far more from the same efficacy % than a slow progressor
  3. Ask your doctor for YOUR child's projection — "If we do nothing, my child reaches ___D by age 18. With [treatment], they reach ___D. Is the difference worth $X/month?"
  4. Compliance beats efficacy % — A simpler treatment used consistently beats a complex treatment used sporadically
  5. Combination often wins — Atropine 0.01% (~27% efficacy on refraction, LAMP study) combined with a myopia control spectacle or contact lens (59–78%+ efficacy) may approach ~60–70% combined reduction without over-relying on a single modality. Early data suggest this; large combination RCTs are still in progress.
  6. Treat headline numbers with healthy skepticism — Efficacy figures vary by endpoint (refraction vs. axial length), study duration, population, and whether the data are peer-reviewed long-term or interim. Always ask: for which population, over what timeframe, and measured how?