Stelo vs Lingo for PCOS: Two Over-the-Counter CGMs Compared

What are Stelo and Lingo, and how are they different from a prescription CGM?

Both are worn for roughly two weeks per sensor — 15 days for Stelo, 14 for Lingo — and both are sold directly to consumers without a prescription, aimed at people who want to see their glucose trends without a diabetes diagnosis requiring insulin management. Dexcom Stelo uses Dexcom’s own sensor technology, the same lineage behind its prescription G-series devices, worn on the back of the upper arm. Abbott Lingo uses Abbott’s FreeStyle Libre sensor technology, worn on the upper arm. Neither device is built or marketed for insulin dosing decisions, and neither ships with the high/low glucose alarms that a prescription CGM for someone on insulin would have — that is a deliberate design choice for a device aimed at people not managing insulin therapy, not an oversight.

The bigger practical difference is what the app does with the number. Stelo reports glucose values and trend graphs in a format close to what a prescription Dexcom app shows. Lingo adds a proprietary daily score (“Lingo Count”) built from your glucose data, positioned as a simplified, gamified metric rather than a raw number to interpret yourself. Which you prefer is a genuine matter of taste — some people want the raw curve, some want a single daily number — and it is worth trying before committing to a multi-month subscription either way.

Is a CGM worth it for PCOS?

Zero trials have tested whether wearing a consumer CGM improves PCOS outcomes, so the answer depends entirely on what you plan to do with the data. What does exist is CGM data collected in PCOS populations for research purposes, which tells you what these devices would likely show you — covered in full below — without telling you that wearing one changes anything on its own. A CGM is a measurement tool, not a treatment; the 2023 international guideline recommends assessing insulin resistance through standard tools such as an oral glucose tolerance test, not continuous glucose monitoring, for diagnostic purposes. Where a CGM earns its cost is behavioural: seeing your own post-meal curve in real time is, for many people, a more effective nudge to change a specific meal than being told a generic carbohydrate guideline. See treating insulin resistance in PCOS: what moves HOMA-IR for what the trial evidence says actually moves that number, with or without a CGM.

Stelo vs Lingo, compared

Disclosure: PCOSguides earns affiliate commission on some product links elsewhere on this site. No specific brand mentioned above is an affiliate link on this page. Both sensors are named because they are the two over-the-counter options, not because we are paid to mention them. Full affiliate disclosure.

Neither device has a head-to-head accuracy study against a lab glucose reference published in the peer-reviewed literature as of this writing, so neither can be ranked “more accurate” on citable evidence. Pick based on the app experience and sensor form factor you actually prefer, not an accuracy claim this page cannot verify.

What does “normal” glucose actually look like on a CGM?

A 2019 multicenter study fitted a modern CGM sensor to 153 healthy, nondiabetic people — a better reference point than either brand’s marketing for what an unremarkable reading actually looks like. That study found an average glucose of 98–99 mg/dL for every age group except those over 60 (104 mg/dL), with glucose sitting in the 70–140 mg/dL range a median of 96% of the time, and a within-person coefficient of variation of 17% ± 3%. Time spent above 140 mg/dL was a median of 2.1% of the day (about 30 minutes), and time below 70 mg/dL was a median of 1.1% (about 15 minutes). That is the reference range worth holding in mind before you interpret your own Stelo or Lingo data — a single post-meal spike above 140 mg/dL is common even in people with no metabolic condition at all; what matters is how often it happens and how quickly it comes back down.

What has CGM data actually shown in PCOS specifically?

Two small studies give a phenotype-specific answer, and the finding is more nuanced than “PCOS means worse glucose control.”

A 2013 study fitted 48-hour continuous glucose monitors to 53 women with PCOS — 28 with hyperandrogenism and 25 without — and found that the hyperandrogenic group had a significantly higher minimum and mean glucose (p = 0.004) despite no difference in fasting or two-hour OGTT glucose and insulin between the groups, and also spent more time in a low-glucose range below 70 mg/dL (p = 0.002). In plain terms: standard fasting bloodwork looked the same between the two groups, but the continuous data showed the hyperandrogenic group’s glucose ran both higher on average and swung lower at points — a pattern a single fasting blood draw would have missed entirely. That is the actual case for CGM over a one-off lab test in PCOS: it can surface a pattern normal fasting labs do not capture, at least in this specific hyperandrogenic subgroup.

A more recent 2025 pilot study fitted a FreeStyle Libre 2 sensor — the same underlying sensor family Lingo uses — to 36 women with PCOS for 14 days and compared those with insulin resistance against those without. Time in the 70–180 mg/dL target range did not differ between the two groups, but the insulin-resistant group had a lower glucose coefficient of variation than the non-insulin-resistant group (13.5% vs 17.1%, p = 0.04) — the opposite direction of what you might expect if you assumed insulin resistance simply means “more glucose swings.” The study’s authors reported that women with PCOS overall showed good glucose control on this metric, regardless of insulin-resistance status.

Does a CGM actually help with PCOS fatigue or “tired after eating”?

If your fatigue tracks closely with meals, a CGM can show whether a post-meal spike above the 140 mg/dL mark flagged in the reference study above is the mechanism behind it — see tired after eating with PCOS: the post-meal glucose curve explained for what that pattern typically looks like and why it happens. What a CGM cannot do is confirm insulin resistance as a diagnosis; the oral glucose tolerance test with insulin remains the tool your clinician would use for that. Use a CGM to test which specific meals spike you personally, then take that pattern — not the device itself — to a conversation about your diet.

Who this will not help

Neither device diagnoses PCOS, treats insulin resistance, or replaces an oral glucose tolerance test — both simply display glucose over time. If your goal is a diagnosis or a treatment decision, a CGM is the wrong tool for that step; if your goal is behavioural feedback on specific meals, either device can supply that. If you are drawn to a CGM because you suspect a hormone imbalance rather than a glucose one specifically, at-home PCOS test kits measure a different set of markers entirely and answer a different question.

This condition was also renamed in 2026: a global consensus of more than 50 organisations adopted polyendocrine metabolic ovarian syndrome, or PMOS, in place of PCOS. Nothing about glucose physiology or what either device measures changes with the name; this article uses PCOS because that is what most readers are searching.

Choosing between them

If you already use, or plan to use, other Dexcom or Abbott hardware, matching the ecosystem is a practical tie-breaker on its own. Otherwise, the honest answer is that the choice comes down to whether you want a raw number (Stelo’s approach) or a simplified daily score (Lingo’s approach) — neither has PCOS-specific evidence behind it, and both measure the same underlying thing.

More comparisons built the same way — spec first, marketing claim second — are in the reviews section, including at-home PCOS test kits compared on what they actually measure and electrolyte drinks compared on sugar, sodium and what you actually need.