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categories: ["longevity", "cybernetics"]categories: ["longevity", "cybernetics"]tags: ["diabetes", "biosensors", "metabolic health", "wearables", "self-tracking", "measurement"]tags: ["diabetes", "biosensors", "metabolic health", "wearables", "self-tracking", "measurement"]summary: "A wearable sensor that reports glucose in the fluid between cells every few minutes, well established in diabetes and of unproven value to people without it."summary: "A wearable sensor that reports glucose in the fluid between cells every few minutes, well established in diabetes and of unproven value to people without it."updated: "2026-07-27"updated: "2026-10-29"humanEvidence: "Randomized trials in type 1 and insulin-treated type 2 diabetes show lower HbA1c and less hypoglycemia; no trial in people without diabetes has shown a benefit on any health outcome."humanEvidence: "Randomized trials in type 1 and insulin-treated type 2 diabetes show lower HbA1c and less hypoglycemia; no trial in people without diabetes has shown a benefit on any health outcome."access: "Prescribed and widely reimbursed for insulin-treated diabetes in wealthy countries; over-the-counter sensors have been sold in the United States since 2024, paid out of pocket."access: "Prescribed and widely reimbursed for insulin-treated diabetes in wealthy countries; over-the-counter sensors have been sold in the United States since 2024, paid out of pocket."reversibility: "reversible"reversibility: "reversible"lines 20–27 → 20–275 unchanged lines not shown
"caption": "Wearable biosensor", "caption": "Wearable biosensor", "rows": [ "rows": [ { "label": "Measures", "value": "Interstitial fluid glucose" }, { "label": "Measures", "value": "Interstitial fluid glucose" }, { "label": "Sampling interval", "value": "1–5 minutes" }, { "label": "Sampling interval", "value": "1-5 minutes" }, { "label": "Sensor life", "value": "Roughly 10–15 days" }, { "label": "Sensor life", "value": "Roughly 10-15 days" }, { "label": "First FDA approval", "value": "1999 (retrospective)" }, { "label": "First FDA approval", "value": "1999 (retrospective)" }, { "label": "Real-time systems", "value": "Mid-2000s" }, { "label": "Real-time systems", "value": "Mid-2000s" }, { "label": "Over-the-counter clearance", "value": "2024 (US)" }, { "label": "Over-the-counter clearance", "value": "2024 (US)" },lines 40–48 → 40–4812 unchanged lines not shown
```keyfacts```keyfacts[[ { "value": "5–15 min", "label": "Typical lag behind blood glucose", "note": "diffusion into interstitial fluid plus algorithmic smoothing" }, { "value": "5-15 min", "label": "Typical lag behind blood glucose", "note": "diffusion into interstitial fluid plus algorithmic smoothing" }, { "value": "2024", "label": "First over-the-counter monitors cleared in the US", "note": "Dexcom's Stelo, then Abbott's Lingo" }, { "value": "2024", "label": "First over-the-counter monitors cleared in the US", "note": "Dexcom's Stelo, then Abbott's Lingo" }, { "value": ">70%", "label": "Consensus time-in-range target", "note": "for most adults with diabetes, 70–180 mg/dL" } { "value": ">70%", "label": "Consensus time-in-range target", "note": "for most adults with diabetes, 70-180 mg/dL" }]]`````` lines 56–82 → 56–827 unchanged lines not shown
period after insertion before they display anything, and are discarded after roughly ten to fifteenperiod after insertion before they display anything, and are discarded after roughly ten to fifteendays.days. The crucial detail is what the sensor is standing in. Glucose reaches interstitial fluid byThe sensor reads interstitial fluid, not blood. Glucose reaches interstitial fluid by diffusion outdiffusion out of capillaries, so the interstitial value trails the blood value by something on theof capillaries, so the interstitial value trails the blood value by something on the order of fiveorder of five to fifteen minutes, and manufacturers' smoothing algorithms add their own delay. Whento fifteen minutes, and manufacturers' smoothing algorithms add their own delay. When glucose isglucose is stable the two track closely. When it is moving fast, during exercise, in the half hourstable the two track closely. When it is moving fast (during exercise, in the half hour after aafter a meal, or while treating a low, the displayed number describes the recent past. This is whymeal, or while treating a low), the displayed number describes the recent past. For that reason thethe trend arrow on the screen carries more decision-relevant information than the digit beside it,trend arrow on the screen carries more decision-relevant information than the digit beside it, andand why insulin users are taught to treat a falling reading differently from a flat one at the sameinsulin users are taught to treat a falling reading differently from a flat one at the same value.value. The clinically useful outputs are aggregate rather than instantaneous: how much of the day is spentThe clinically useful outputs are aggregates, not instantaneous values: how much of the day is spentin a target band, how variable the readings are, how much time is spent low overnight. The samein a target band, how variable the readings are, and how much time is spent low overnight. The samesignal also closes a control loop. Paired with an insulin pump and a dosing algorithm, a monitorsignal can also close a control loop. Paired with an insulin pump and a dosing algorithm, a monitorbecomes the sensor half of an automated insulin delivery system, the sense-and-respond architecturebecomes the sensor half of an automated insulin delivery system, the sense-and-respond architecturealso used by closed-loop [[deep-brain-stimulation]] and proposed foralso used by closed-loop [[deep-brain-stimulation]] and proposed for[[medical-nanorobots|nanoscale therapeutic devices]].[[medical-nanorobots|nanoscale therapeutic devices]]. > [!note] Terminology> [!note] Terminology> Time in range is the share of the day spent between 70 and 180 mg/dL (3.9–10.0 mmol/L). The> Time in range is the share of the day spent between 70 and 180 mg/dL (3.9-10.0 mmol/L). The> glucose management indicator converts mean sensor glucose into an HbA1c-like percentage; it is an> glucose management indicator converts mean sensor glucose into an HbA1c-like percentage; it is an> estimate, not a laboratory value, and the two can disagree. The ambulatory glucose profile is the> estimate rather than a laboratory value, and the two can disagree. The ambulatory glucose profile> standard one-page report that stacks two weeks of traces into a single median-and-percentile day.> is the standard one-page report that stacks two weeks of traces into a single> median-and-percentile day. ## Development history## Development history lines 84–90 → 84–901 unchanged line not shown
[[ { "year": "1999", "title": "First CGM approved", "text": "The FDA approves MiniMed's system, which records glucose blind and is downloaded at a clinic days later. It is a diagnostic tool for physicians, not a display for patients." }, { "year": "1999", "title": "First CGM approved", "text": "The FDA approves MiniMed's system, which records glucose blind and is downloaded at a clinic days later. It is a diagnostic tool for physicians, not a display for patients." }, { "year": "2001", "title": "GlucoWatch reaches the market", "text": "Cygnus wins approval for a wrist device that draws fluid through the skin by reverse iontophoresis. Skin irritation and unreliable readings sink it, and it is off the market within a few years." }, { "year": "2001", "title": "GlucoWatch reaches the market", "text": "Cygnus wins approval for a wrist device that draws fluid through the skin by reverse iontophoresis. Skin irritation and unreliable readings sink it, and it is off the market within a few years." }, { "year": "2005–2006", "title": "Real-time systems arrive", "text": "Medtronic's Guardian RT and DexCom's STS put a live number, a trend arrow, and alarms in the user's hand for the first time." }, { "year": "2005-2006", "title": "Real-time systems arrive", "text": "Medtronic's Guardian RT and DexCom's STS put a live number, a trend arrow, and alarms in the user's hand for the first time." }, { "year": "2008", "title": "Randomized benefit demonstrated", "text": "A JDRF-funded trial in type 1 diabetes reports improved HbA1c with CGM, with the effect concentrated in adults aged 25 and over." }, { "year": "2008", "title": "Randomized benefit demonstrated", "text": "A JDRF-funded trial in type 1 diabetes reports improved HbA1c with CGM, with the effect concentrated in adults aged 25 and over." }, { "year": "2014", "title": "FreeStyle Libre launches in Europe", "text": "Abbott's factory-calibrated, scan-to-read sensor cuts cost and eliminates fingerstick calibration, and drives the first mass adoption outside intensive insulin users." }, { "year": "2014", "title": "FreeStyle Libre launches in Europe", "text": "Abbott's factory-calibrated, scan-to-read sensor cuts cost and eliminates fingerstick calibration, and drives the first mass adoption outside intensive insulin users." }, { "year": "2016", "title": "Dosing from the sensor allowed", "text": "The FDA permits the Dexcom G5 to be used for insulin dosing without a confirmatory fingerstick, making the sensor the primary measurement rather than an adjunct. Calibration fingersticks are still required." }, { "year": "2016", "title": "Dosing from the sensor allowed", "text": "The FDA permits the Dexcom G5 to be used for insulin dosing without a confirmatory fingerstick, making the sensor the primary measurement rather than an adjunct. Calibration fingersticks are still required." },lines 94–136 → 94–1363 unchanged lines not shown
]]`````` Each step turned less on the electrochemistry than on trust in it. The 1999 system was blindedEach step turned less on improvements in the electrochemistry than on how far its readings could bebecause nobody was prepared to let a patient act on the number; permitting insulin dosing from atrusted. The 1999 system was blinded because nobody was prepared to let a patient act onsensor reading in 2016 was the decision that made the automated pumps, and eventually the retailthe number. Permitting insulin dosing from a sensor reading in 2016 was the decision that made theshelf, possible.automated pumps, and eventually the retail shelf, possible. ## Evidence in diabetes## Evidence in diabetes For people who take insulin, a reading changes an action. The 2008 JDRF trial found improvedFor people who take insulin, a reading leads to an action. The 2008 JDRF trial found improvedglycemic control in adults but not in the children and young adults enrolled alongside them, aglycemic control in adults but not in the children and young adults enrolled alongside them, a splitsplit usually attributed to how much the younger groups actually wore the sensor.[^jdrf2008] Theusually attributed to how much the younger groups actually wore the sensor.[^jdrf2008] The DIAMONDDIAMOND trial extended the result to adults on injections rather than pumps, the larger population,trial extended the result to adults on injections rather than pumps, the larger population, with awith a modest but consistent HbA1c reduction.[^diamond2017] In type 2 diabetes treated with basalmodest but consistent HbA1c reduction.[^diamond2017] In type 2 diabetes treated with basal insulininsulin in ordinary primary care, the MOBILE trial found a similar direction ofin ordinary primary care, the MOBILE trial found a similar direction of effect.[^mobile2021] Lesseffect.[^mobile2021] Less time spent hypoglycemic is a second and arguably more important benefit,time spent hypoglycemic is a second benefit, arguably the more important one, because severe lowssince severe lows are the acute danger of insulin therapy and often go unnoticed overnight.are the acute danger of insulin therapy and often go unnoticed overnight. An international consensus group in 2019 converted the raw traces into targets that trials andAn international consensus group in 2019 converted the raw traces into targets that trials andclinics could share, chiefly the recommendation that most adults with diabetes spend more than 70%clinics could share, chiefly the recommendation that most adults with diabetes spend more than 70%of the day between 70 and 180 mg/dL.[^battelino2019] Time in range is not a validated surrogate forof the day between 70 and 180 mg/dL.[^battelino2019] Time in range has not been validated as acomplications in the way HbA1c is, but it correlates with it and captures variability that asurrogate for complications in the way HbA1c has. It correlates with HbA1c, and it capturesthree-month average hides.variability that a three-month average hides. > [!debate] Where the indication ends> [!debate] Where the indication ends> The strongest evidence is in people whose reading changes an insulin dose. In type 2 diabetes> The strongest evidence is in people whose reading changes an insulin dose. In type 2 diabetes> managed with diet, [[metformin]], or a [[glp-1-receptor-agonists|GLP-1 receptor agonist]], trials> managed with diet, [[metformin]], or a [[glp-1-receptor-agonists|GLP-1 receptor agonist]], trials> are fewer, effects on HbA1c smaller, and reviewers disagree about whether continuous wear is worth> are fewer, effects on HbA1c smaller, and reviewers disagree about whether continuous wear is worth> the cost against periodic testing. That boundary, rather than the wellness market, is where most> the cost compared with periodic testing. Most of the live clinical argument concerns that> of the live clinical argument sits.> boundary, not the wellness market. ## Use without diabetes## Use without diabetes In 2024 the FDA cleared the first monitors sold without a prescription, Dexcom's Stelo followed byIn 2024 the FDA cleared the first monitors sold without a prescription, Dexcom's Stelo followed byAbbott's Lingo, both indicated for adults who do not use insulin.[^fda2024] The consumer propositionAbbott's Lingo, both indicated for adults who do not use insulin.[^fda2024] The consumer pitch isis that watching one's own curve teaches which foods, workouts, and bad nights produce whichthat watching one's own curve shows which foods, workouts, and bad nights produce which responses,responses, and that flattening it is a route to [[healthspan|longer healthy life]]. Companiesand that flattening the curve is a route to [[healthspan|longer healthy life]]. Companies includingincluding Levels and Signos sell subscriptions built on Dexcom and Abbott hardware, adding foodLevels and Signos sell subscriptions built on Dexcom and Abbott hardware; they add food logging,logging, meal scores, and coaching rather than sensors of their own. The sensor joins the othermeal scores, and coaching, not sensors of their own. The sensor joins the other[[wearable-health-sensors|consumer physiological sensors]] as a fixture of [[biohacking]] and of the[[wearable-health-sensors|consumer physiological sensors]] as a fixture of [[biohacking]] and of the[[quantified-self|self-tracking]] culture that surrounds it, alongside[[quantified-self|self-tracking]] culture that surrounds it, alongside[[consumer-blood-testing|direct-to-consumer blood panels]] and[[consumer-blood-testing|direct-to-consumer blood panels]] andlines 140–158 → 140–1583 unchanged lines not shown
Institute study which showed that postprandial glucose responses to identical meals differ markedlyInstitute study which showed that postprandial glucose responses to identical meals differ markedlybetween people, and that an algorithm trained on personal data could design meals that blunted thosebetween people, and that an algorithm trained on personal data could design meals that blunted thoseresponses.[^zeevi2015] The endpoint there was the glucose curve itself. The larger PREDICT studyresponses.[^zeevi2015] The endpoint there was the glucose curve itself. The larger PREDICT studylater reported the same between-person spread and, importantly, substantial variation within thelater reported the same between-person spread, and also substantial variation within the same personsame person eating the same food on different days.[^berry2020] Reference data from people withouteating the same food on different days.[^berry2020] Reference data from people without diabetesdiabetes wearing blinded sensors show that normal glucose tolerance means spending nearly all of thewearing blinded sensors show that normal glucose tolerance means spending nearly all of the day in aday in a narrow band, with brief post-meal excursions that a consumer app may flag asnarrow band, with brief post-meal excursions that a consumer app may flag as alarming.[^shah2019] Aalarming.[^shah2019] A monitor that pathologizes normal physiology has a specificity problem, not amonitor that flags those excursions treats normal physiology as abnormal, which is a failure ofsensitivity one.specificity rather than sensitivity. > [!caution] What a spike does not mean> [!caution] What a spike does not mean> No threshold for a post-meal glucose excursion has been validated as a risk factor in a person> No threshold for a post-meal glucose excursion has been validated as a risk factor in a person> with normal glucose tolerance. The same meal, eaten by the same person on two days, can produce> with normal glucose tolerance. The same meal, eaten by the same person on two days, can produce> visibly different curves through sleep, prior activity, stress, sensor site, and simple noise. A> visibly different curves through sleep, prior activity, stress, sensor site, and simple noise. A> number that moves is not the same as a number that matters, and the inference from a curve to a> movement in the number does not by itself indicate a change in risk, and inferring a health> health outcome runs through evidence that does not exist yet.> outcome from a curve would require evidence that does not exist yet. ## Accuracy and its limits## Accuracy and its limits lines 173–214 → 173–21314 unchanged lines not shown
## Risks and second-order effects## Risks and second-order effects The physical risks are minor: adhesive dermatitis, occasional infection, rarely a retained filamentThe physical risks are minor: adhesive dermatitis, occasional infection, and rarely a retainedfragment. The interesting risks are behavioural. Clinicians have raised concerns that continuousfilament fragment. The less obvious risks are behavioural. Clinicians have raised concerns thatfeedback encourages food restriction and anxiety in people predisposed to disordered eating, andcontinuous feedback encourages food restriction and anxiety in people predisposed to disorderedalarm fatigue is a documented problem even among those with a clinical reason to wear a sensor.eating, and alarm fatigue is a documented problem even among those with a clinical reason to wear aAttention spent on curves is also attention not spent on [[exercise-and-aging|structured exercise]],sensor. Time spent attending to curves is also time not spent onwhich has randomized evidence on function in older adults, or on [[sleep-and-longevity|sleep]],[[exercise-and-aging|structured exercise]], which has randomized evidence on function in olderwhose mortality epidemiology is far larger than anything assembled for glucose curves in peopleadults, or on [[sleep-and-longevity|sleep]], whose mortality epidemiology is far larger thanwithout diabetes.anything assembled for glucose curves in people without diabetes. A glucose trace also reveals meal timing, sleep, illness, and activity, and it sits withA glucose trace also reveals meal timing, sleep, illness, and activity, and it sits withmanufacturers and app companies under commercial privacy policies rather than the rules that governmanufacturers and app companies under commercial privacy policies rather than the rules that governclinical records. Cost pushes in the other direction: sensors are a recurring out-of-pocketclinical records. Cost raises a separate problem: sensors are a recurring out-of-pocket expense, soexpense, so a technology with proven benefit in diabetes is distributed partly by ability to pay, ana technology with proven benefit in diabetes is distributed partly by ability to pay, an instance ofinstance of the pattern examined under [[access-and-inequality]].the pattern examined under [[access-and-inequality]]. ## Outlook## Outlook Hardware is moving toward longer wear and more analytes. Senseonics' implanted fluorescence-basedHardware is moving toward longer wear and more analytes. Senseonics' implanted fluorescence-basedsensor runs for months to a year rather than days, and manufacturers have announced sensorssensor runs for months to a year rather than days, and manufacturers have announced sensorsreporting ketones alongside glucose, which matters for users of automated insulin delivery. Non-invasive opticalreporting ketones alongside glucose, which matters for users of automated insulin delivery.measurement remains the field's perennial promise; the FDA warned in 2024 against smartwatches andNon-invasive optical measurement is a promise the field has repeatedly made and not yet kept; therings claiming to measure blood glucose without piercing the skin, and no such device has beenFDA warned in 2024 against smartwatches and rings claiming to measure blood glucose without piercingauthorized.the skin, and no such device has been authorized. The more consequential question is interpretive. Sensors generate dense longitudinal metabolic dataThe larger open question is what the data mean. Sensors generate dense longitudinal metabolic dataon large numbers of people outside clinical research, the kind of input thaton large numbers of people outside clinical research, the kind of input that[[human-digital-twins|individualized physiological models]] require. Whether that yields anything[[human-digital-twins|individualized physiological models]] require. Whether that yields anythingbeyond diabetes depends on studies that have not been run: trials in people without diabetes,beyond diabetes depends on studies that have not been run: trials in people without diabetes,powered on health outcomes rather than glucose curves, long enough to show whether early detectionpowered on health outcomes rather than glucose curves, long enough to show whether early detectionof impaired glucose tolerance changes anything. Until those exist, wellness monitoring occupiesof impaired glucose tolerance changes anything. Until those exist, wellness monitoring occupies thethe same position as consumer [[epigenetic-clock|methylation age tests]] and othersame position as consumer [[epigenetic-clock|methylation age tests]] and other[[aging-biomarkers|biomarker panels]] sold on the promise of measuring[[aging-biomarkers|biomarker panels]] sold on the promise of measuring[[biological-age|biological aging]]: a real measurement of a real quantity, with an unestablished[[biological-age|biological aging]]: a real measurement of a real quantity, with no established linklink between moving the number and living better. That gap is the standing challenge to thebetween moving the number and living better. The [[geroscience-hypothesis|geroscience]] programme as[[geroscience-hypothesis|geroscience]] programme as a whole, and glucose is simply its most widelya whole faces the same gap, and glucose is its most widely worn example.worn instance. ## See also## See also removed, struck through added, underlinedLine numbers count the serialised markdown of each revision, frontmatter included.
162 lines are the same in both revisions, and 72 of them are not shown. Neither revision here is necessarily the current article — read Continuous glucose monitoring for the text this wiki stands behind today.