Clinical utility of the twiist Automated Insulin Delivery System: first study with twiist
Open accessAbstract
Introduction: Randomized controlled trials and real-world studies have demonstrated that automated insulin delivery (AID) systems enhance glycemic control and mitigate hypoglycemia risk in individuals with type 1 diabetes. This study evaluated the safety, effectiveness, and usability of the twiist AID System on glycemic outcomes in adults with type 1 diabetes. Research design and methods: This 8-week, prospective, single-center, single-arm study included 20 adults with type 1 diabetes. The primary outcome measures were the percent of time spent in established continuous glucose monitoring (CGM) glycemic target ranges at 8 weeks. The primary efficacy outcome was percent time in range (%TIR; 70–180 mg/dL) at 8 weeks. Secondary outcomes were the change in glucose pre-occlusion detection; the effects of total daily insulin delivery (TDD) on glucose pre- and post-occlusion detection; the effect of Max basal ratio on %TIR; the effect of users’ correction range on %TIR; and change in glycated haemoglobin (HbA1c). Changes in TDD and body weight were also assessed. Results: 19 participants completed the study. At 8 weeks, the mean %TIR was 70.3±15.5%. Participants achieved or maintained glycemic targets for all CGM metrics except time above >250 mg/dL. A total of 67 occlusion events occurred in 15 participants. These events were detected within 30 min of rising glucose. Higher max basal ratio settings were associated with higher %TIR. The %TIR for participants with a correction range <100 mg/dL was 79.2±13.4% vs 67.2±15.0% for those with a correction range >100 mg/dL. HbA1c levels decreased (−0.4%±0.5%) in participants with baseline HbA1c >7%. A slight increase in TDD (1.3±16.2 U) and a decrease in body weight (−0.09±2.9 kg) were observed. No serious adverse events were reported. Conclusions: Eight-week use of twiist enabled participants to achieve or maintain established glycemic targets and suggests the system’s ability to detect occlusions before clinically significant glucose rise regardless of TDD. Larger and longer term studies are needed.
AI snapshot
Written from the paper’s full text.
TL;DR
In this first clinical study of the twiist Automated Insulin Delivery System, 19 of 20 adults with type 1 diabetes completed 8 weeks of use and achieved a mean time in range (70–180 mg/dL) of 70.3±15.5%. The system detected infusion set occlusions within 30 min of rising glucose, with no serious adverse events reported.
Key findings
- At 8 weeks, mean %TIR was 70.3±15.5%; participants met CGM targets for time <54 mg/dL (0.3±0.4%), time <70 to 54 mg/dL (2.0±1.4%), time >180 to 250 mg/dL (19.0±9.0%), and coefficient of variation (35.7%), but not for time >250 mg/dL (8.4±8.6% vs target <5%).
- A total of 144 occlusion alarms were recorded (0.95 alarms/person-week); after excluding alarms confounded by meals/boluses, 67 occlusion events occurred in 15 participants and were detected within 30 min of rising glucose.
- Higher Max basal ratio settings were associated with greater %TIR; participants with a correction range midpoint <100 mg/dL had %TIR 79.2±13.4% vs 67.2±15.0% for those with >100 mg/dL.
- HbA1c decreased by −0.4±0.5% in participants with baseline HbA1c >7%; no significant changes were observed in TDD (Δ1.3±16.2 U) or body weight (Δ−0.09±2.9 kg), and no serious adverse events were reported.
Methods
- This was an 8-week, prospective, single-center, single-arm study of 20 adults with type 1 diabetes conducted at Atlanta Diabetes Associates, Atlanta, Georgia, from March 3 to May 12, 2025; 19 participants completed the study.
- The primary efficacy outcome was %TIR (70–180 mg/dL) at 8 weeks; secondary outcomes included glucose changes pre- and post-occlusion detection, effects of TDD and Max basal ratio on outcomes, effects of correction range on %TIR, HbA1c change, TDD, and body weight.
- No statistical analysis or power calculations were performed for sample size; prespecified analyses were performed for all participants who entered the study, with demographic and clinical information presented as mean±SD. Occlusion analyses excluded notifications with carbohydrate entry or insulin bolus within 3 hours before or 1 hour after the alarm.
Limitations
- The paper states limitations including single-center design, recruitment from an existing clinic population with higher technology literacy and engagement, structured training/support not reflecting real-world initiation, small non-powered sample, single-arm non-comparative methodology, short duration, lack of pre-twiist glycemic data, inability to generalize occlusion findings to much lower TDD (e.g., young children), potential Hawthorne effect, and lack of ethnic, socioeconomic, and geographic diversity.
- The paper also notes that the study was not designed to evaluate clinical outcomes directly attributable to occlusion events, so occlusion results support feasibility rather than definitive evidence of improved safety or efficacy.
- Evident from the text: the correction-range comparison had only a 17 mg/dL mean difference between groups, and the authors call for larger and longer studies with wider variation in correction range.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
15 of 21 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured
- Premisecitation
Infusion set occlusions can result in severe hyperglycemia and diabetic ketoacidosis.
“Infusion set occlusions, which impede the delivery of infused insulin, can result in severe hyperglycemia and DKA.21”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [21] Klonoff, 2017, Insulin Pump Occlusions: For Patients Who Have Been Around the (Infusion) Block, J Diabetes Sci Technol source
- Interpretationown data
Safety outcomes are comparable to other short-duration AID studies.
“Our results also showed safety outcomes that are comparable to other short-duration AID studies, showing no DKA or severe hypoglycemia events and very little time spent in level 1 and level 2 hypoglycemia.”
Quote in the paperSubstantial claim2 of 2 sources checked - Premisecitation
Insulin infusion set failures are common among individuals using insulin pump therapy.
“However, insulin infusion set (IIS) failures are common among individuals using insulin pump therapy.3–5”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [3] Wilcox JH , Gray JC , Cooper NR , et al . 696-P: Insulin Pump Infusion Set Failure (IPISF) Management: T1D Exchange Survey. Diabetes 2021;70. doi:10.2337/db21-696-P source
- cites [4] source
The Abstract and Discussion report common skin reactions to CGM and insulin-pump devices, with some patients discontinuing device use. They do not report whether insulin infusion sets fail commonly; searches for infusion-set failure and related terms found no such finding in our copy. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites [5] source
- Interpretationcitation
This finding supports previous studies demonstrating a correlation of percent time in range with more aggressive correction targets.
“This finding supports previous studies demonstrating a correlation of %TIR with more aggressive correction targets.19 20”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [19] Carlson, 2022, Advanced Hybrid Closed-Loop System Pivotal Trial in Adolescents and Adults with Type 1 Diabetes, Diabetes Technol Ther source
- cites [20] Tornese, 2023, Safety of Real-life Usage of Advanced Hybrid Closed-Loop System MiniMed 780G in Children With Type 1 Diabetes Younger Than 7 Years Old, Diabetes Care source
The results passage (page not provided) reports increased %TIR after Auto Mode began and says that most children later used lower glucose targets. Table 1 tracks both measures over time, but the paper does not demonstrate a correlation between %TIR and more aggressive targets; the initial TIR increase occurred before the reported shift to lower targets. (LLM, conf=0.82)
Experimental — accuracy not yet measured
- Study design and conductcitation
The potential Hawthorne effect must be considered a limitation.
“The potential Hawthorne effect must also be considered a limitation.25”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [25] source
- Premisecitation
Current insulin pump systems exhibit substantial variability in occlusion detection times, with delayed alarms-especially at lower basal rates-heightening the risk of unnoticed infusion failures and prolonged hyperglycemic excursions.
“As demonstrated by Freckmann et al, current insulin pump systems exhibit substantial variability in occlusion detection times, with delayed alarms—especially at lower basal rates—heightening the risk of unnoticed infusion failures and prolonged hyperglycemic excursions.23”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [23] Freckmann, 2018, Occlusion Detection Time in Insulin Pumps at Two Different Basal Rates, J Diabetes Sci Technol source
- Premisecitation
Carlson et al reported no diabetic ketoacidosis or severe hypoglycemia events in a cohort of 39 adolescents and 118 adults using the MiniMed 780G system over a 3-month observation period.
“Carlson et al reported no DKA or severe hypoglycemia events in a cohort of 39 adolescents and 118 adults using the MiniMed 780G system over a 3-month observation period.19”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [19] Carlson, 2022, Advanced Hybrid Closed-Loop System Pivotal Trial in Adolescents and Adults with Type 1 Diabetes, Diabetes Technol Ther source
- Findingown data
The mean difference in the midpoint of the correction range was only 17 mg/dL.
“However, the generalizability of our findings is limited by a small number of participants, and the mean difference in the midpoint of the correction range was only 17 mg/dL.”
Quote in the paperSubstantial claim - Findingown data
After excluding alarms confounded by meals and boluses, 67 occlusion alarms remained for analysis.
“After exclusion of occlusion notifications that may be confounded by meals and insulin boluses, 67 alarms remained for analysis.”
Quote in the paperSubstantial claim - Findingnone given
The system demonstrated equal performance in occlusion detection effectiveness across participants with lower total daily insulin delivery.
“Although the system demonstrated equal performance in occlusion detection effectiveness across participants with lower TDD, we cannot generalize this to individuals on much lower TDD (eg, young children) because all participants in our study were adults, and the lowest total daily dose was 26.14 U.”
Quote in the paperNot a substantial claim - Findingown data
HbA1c decreased by 0.4±0.5% at 8 weeks in participants with baseline HbA1c >7%.
“Participants with baseline HbA1c >7% (mean 8.1%) showed clinically significant improvements (−0.4±0.5%) at 8 weeks.”
Quote in the paperSubstantial claim - Findingown data
67 occlusion events occurred in 15 participants.
“67 occlusion events occurred in 15 participants, with a median TDD of 58.6 U.”
Quote in the paperNot a substantial claim - Findingown data
Mean glucose declined from 143.8±44.7 mg/dL to 141.1±40.6 mg/dL (Δ−2.7±60.4 mg/dL) between 60 and 30 min prior to an occlusion alarm.
“Mean glucose measured at both 60 and 30 min prior to an occlusion alarm declined from 143.8±44.7 mg/dL to 141.1±40.6 mg/dL (Δ−2.7±60.4 mg/dL) (figure 1).”
Quote in the paperNot a substantial claim - Findingown data
The study enrolled 20 adults with type 1 diabetes.
“A total of 20 adults with type 1 diabetes were screened and enrolled in the study, with mean HbA1c 6.9%, TDD 52.3 U, and body weight 86.8 kg.”
Quote in the paperNot a substantial claim - Findingown data
The percentage of time spent >250 mg/dL did not achieve the CGM target.
“The percentage of time spent >250 mg/dL did not achieve the target.”
Quote in the paperSubstantial claim - Findingown data
No significant change in body weight was observed (Δ−0.09±2.9 kg).
“No significant changes in TDD (Δ1.3±16.2 U) or body weight (Δ−0.09±2.9 kg) were observed.”
Quote in the paperNot a substantial claim - Findingown data
At 8 weeks, mean percent time in range (70-180 mg/dL) was 70.3±15.5%.
“At 8 weeks, the mean %TIR was 70.3±15.5%.”
Quote in the paperSubstantial claim - Findingown data
Mean glucose increased from 141.1±40.6 to 149.6±42.5 mg/dL (Δ+8.6±58.8 mg/dL) between 30 min prior to and at the time of an occlusion alarm.
“Mean glucose measured 30 min prior to and at the time of an occlusion alarm increased from 141.1±40.6 to 149.6±42.5 mg/dL (Δ+8.6±58.8 mg/dL).”
Quote in the paperSubstantial claim - Findingown data
Higher maximal basal ratios were associated with greater percent time in range.
“Higher maximal basal ratios were associated with greater %TIR (figure 3).”
Quote in the paperNot a substantial claim - Findingown data
144 occlusion alarms were recorded over the study period (0.95 alarms/person-week).
“Across the study period, 144 occlusion alarms were recorded (0.95 alarms/person-week).”
Quote in the paperNot a substantial claim - Findingown data
No significant change in total daily insulin delivery was observed (Δ1.3±16.2 U).
“No significant changes in TDD (Δ1.3±16.2 U) or body weight (Δ−0.09±2.9 kg) were observed.”
Quote in the paperSubstantial claim - Findingown data
The percent time in range for participants with a correction range midpoint ≤100 mg/dL was greater than for those with a midpoint >100 mg/dL.
“The %TIR for those with the lower correction range was greater than in those with the higher correction range (figure 4).”
Quote in the paperNot a substantial claim - Findingown data
No serious adverse events were reported.
“No serious adverse events were reported.”
Quote in the paperSubstantial claim - Interpretationown data
The positive correlation between higher maximal basal ratios and increased percent time in range suggests that the algorithm's ability to respond aggressively to increasing glucose levels is associated with improved percent time in range.
“Moreover, the positive correlation between higher maximal basal ratios and increased %TIR suggests that the algorithm’s ability to respond aggressively to increasing glucose levels is associated with improved %TIR.”
Quote in the paperSubstantial claim - Study design and conductnone given
The study was not designed to evaluate clinical outcomes directly attributable to occlusion events.
“However, given that the study was not designed to evaluate clinical outcomes directly attributable to occlusion events, these results should be interpreted as supporting feasibility rather than definitive evidence of improved safety or efficacy.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The single-arm, non-comparative methodology precludes direct attribution of observed improvements to the twiist AID System.
“The single-arm, non-comparative methodology precludes direct attribution of observed improvements to the twiist AID System, and the short study duration does not allow for assessment of long-term glycemic effects, device adherence, or durability of usability outcomes.”
Quote in the paperSubstantial claim - Interpretationreasoning
The lack of ethnic, socioeconomic, and geographic diversity in the small, single-site cohort limits generalizability to broader or underserved populations.
“Finally, the lack of ethnic, socioeconomic, and geographic diversity in the small, single-site cohort further limits the generalizability of the findings to broader or underserved populations.”
Quote in the paperSubstantial claim - Study design and conductreasoning
The small sample size and non-powered design limit the ability to detect statistically significant differences in glycemic outcomes or rare adverse events.
“The small sample size and non-powered design limit the ability to detect statistically significant differences in glycemic outcomes or rare adverse events.”
Quote in the paperSubstantial claim - Interpretationown data
The generalizability of the findings is limited by a small number of participants.
“However, the generalizability of our findings is limited by a small number of participants, and the mean difference in the midpoint of the correction range was only 17 mg/dL.”
Quote in the paperSubstantial claim - Interpretationnone given
Recruitment from an existing clinic population with higher technology literacy and engagement may bias results toward favorable outcomes.
“Moreover, recruitment from an existing clinic population with higher technology literacy and engagement may bias results toward favorable outcomes, and the structured training and support provided during the study may not reflect real-world initiation, potentially affecting usability and safety outcomes.”
Quote in the paperNot a substantial claim - Premisecitation
Resolution of occlusions may result in insulin surges, increasing the risk of severe hypoglycemia.
“Conversely, the resolution of occlusions may result in insulin surges, increasing the risk of severe hypoglycemia.22”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [22] source
- Interpretationown data
The evaluation of occlusion detection under varying insulin requirements provides clinically relevant insight into the system's novel sensing technology and its potential to address a persistent safety concern.
“In addition, the evaluation of occlusion detection under varying insulin requirements provides clinically relevant insight into the system’s novel sensing technology and its potential to address a persistent safety concern associated with insulin pump therapy.”
Quote in the paperSubstantial claim- Rests on an assumption: The twiist AID System had not previously been clinically evaluated in adults with type 1 diabetes.
- Rests on an assumption: The twiist system directly measures insulin volume using acoustic volume-sensing technology.
- Study design and conductown data
19 of 20 participants completed all 8 weeks of the study.
“19 participants completed all 8 weeks of the study. One participant withdrew due to time constraints.”
Quote in the paperNot a substantial claim - Interpretationreasoning
The observed results are in line with expectations for a next-generation AID system.
“These similarities support the conclusion that the observed results are in line with expectations for a next-generation AID system.”
Quote in the paperNot a substantial claim - Study design and conductown data
The lack of glycemic data prior to twiist initiation precludes any assessment of glycemic improvement over previous insulin delivery methods.
“Additionally, the lack of glycemic data prior to twiist initiation precludes any assessment of glycemic improvement over previous insulin delivery methods.”
Quote in the paperSubstantial claim - Interpretationown data
The findings cannot be generalized to individuals on much lower total daily insulin delivery, such as young children, because all participants were adults and the lowest total daily dose was 26.14 U.
“Although the system demonstrated equal performance in occlusion detection effectiveness across participants with lower TDD, we cannot generalize this to individuals on much lower TDD (eg, young children) because all participants in our study were adults, and the lowest total daily dose was 26.14 U.”
Quote in the paperSubstantial claim - Interpretationreasoning
The single-center design limits external validity.
“The single-center design limits external validity, as practice patterns and resources may vary across different clinical sites.”
Quote in the paperNot a substantial claim - Interpretationown data
The twiist system can detect occlusions before clinically significant glucose rise regardless of total daily insulin delivery.
“suggests the system’s ability to detect occlusions before clinically significant glucose rise regardless of TDD.”
Quote in the paperSubstantial claim- Rests on an assumption: The twiist system directly measures insulin volume using acoustic volume-sensing technology.
- Interpretationown data
Eight-week use of twiist enabled participants to achieve or maintain established glycemic targets.
“Eight-week use of twiist enabled participants to achieve or maintain established glycemic targets and suggests the system’s ability to detect occlusions before clinically significant glucose rise regardless of TDD.”
Quote in the paperSubstantial claim - Interpretationreasoning
The twiist system's occlusion detection capability is due to measuring the volume of insulin delivered directly rather than relying on a significant rise in pressure.
“Because the twiist AID System measures the volume of insulin delivered with each dose directly rather than relying on a significant rise in pressure (which takes time), alarms were triggered by measurement of insulin dose within 30 min of a rise in glucose regardless of TDD.”
Quote in the paperSubstantial claim- Rests on an assumption: The twiist system directly measures insulin volume using acoustic volume-sensing technology.
- May combine two claims. 20
- Classified as probably not a substantial claim. 6
May combine two claims.
PremisecitationAutomated insulin delivery systems enhance glycemic control and mitigate hypoglycemia risk in individuals with type 1 diabetes.
“Evidence from randomized controlled trials and real-world observational studies has demonstrated that these advanced systems enhance glycemic control, mitigate the risk of hypoglycemia, and improve the quality of life in individuals with type 1 diabetes, including adults, adolescents, and pediatric populations.2”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [2] Peacock, 2023, A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems, Diabetes Ther source
The Introduction (page unavailable) reports improved glycaemic measures with commercial hybrid closed-loop systems. It says trials found no increase in hypoglycaemia and that some studies found a reduction; the Conclusions (page unavailable) likewise report no increase in severe hypoglycaemia. Thus the review supports improved glycaemic control, but not a general reduction in hypoglycaemia risk across these systems. (LLM, conf=0.85)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationThe twiist AID System detects interruptions of insulin delivery due to occlusion substantially faster than other available pumps and supports dose-delivery accuracy.
“A recent bench testing study showed that the system detects interruptions of insulin delivery due to occlusion substantially faster than other available pumps and supports dose-delivery accuracy,11”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [11] Butterfield, 2024, Performance of a Continuous Subcutaneous Insulin Infusion (CSII) Pump With Acoustic Volume and Flow Sensing in Simulated High-Consequence Situations, IEEE Open J Eng Med Biol source
May combine two claims.
FindingcitationMean glucose was 154±26.8 mg/dL, corresponding to an HbA1c of approximately 7%.
“The mean glucose of 154±26.8 mg/dL corresponded with an HbA1c of approximately 7%.14”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [14] source
In “How Is GMI Calculated?” (page unavailable), the paper gives a formula under which a mean glucose of 154 mg/dL yields a GMI of approximately 7%. It does not report the stated 154±26.8 mg/dL mean and variation, and it cautions elsewhere that GMI can differ from laboratory-measured HbA1c. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
Findingown dataParticipants achieved or maintained established CGM glycemic targets for %TIR, %TBR, %TAR (180-250 mg/dL), and %CV at 8 weeks.
“Primary and other efficacy endpoints at 8 weeks (mean %TIR (70–180 mg/dL), %TBR (<70 mg/dL and <54 mg/dL), %TAR (180–250 mg/dL)) and %CV were within the established targets for the CGM glycemic metrics13 (table 1).”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [13] source
May combine two claims.
Interpretationown dataThe observed results are similar to earlier AID clinical investigations, demonstrating comparable performance in percent time in range to Control-IQ (70.9%), Omnipod 5 (67.8%), and Medtronic 780G (71.2% ≤15 years/73.9% >15 years).
“Despite the small cohort, our findings are similar to earlier AID clinical investigations, demonstrating comparable performance in %TIR observed in prospective and retrospective observation trials of other systems, such as Control-IQ (70.9%),15 Omnipod 5 (67.8%),16 and Medtronic 780G (71.2% (≤15 years)/73.9% (>15 years)).17”
Quote in the paperSubstantial claim1 of 3 sources checked- cites [15] De Meulemeester, 2025, One-year real-world benefits of Tandem Control-IQ technology on glucose management and person-reported outcomes in adults with type 1 diabetes: a prospective observational cohort study, Diabetologia source
- cites [16] Forlenza, 2024, Real-World Evidence of Omnipod® 5 Automated Insulin Delivery System Use in 69,902 People with Type 1 Diabetes, Diabetes Technol Ther source
- cites [17] Castañeda, 2024, Time in Tight Glucose Range in Type 1 Diabetes: Predictive Factors and Achievable Targets in Real-World Users of the MiniMed 780G System, Diabetes Care source
May combine two claims.
PremisecitationBrown et al reported one diabetic ketoacidosis event and three severe hypoglycemia events in their 3-month study of 111 children and 124 adults using the Omnipod 5 AID System.
“For example, Brown et al reported one DKA event and three severe hypoglycemia events in their 3-month study of 111 children and 124 adults using the Omnipod 5 AID System.18”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [18] source
May combine two claims.
Findingown dataIn the lower TDD group, 23 occlusion events were detected within 30 min of rising glucose; in the higher TDD group, 44 events were detected.
“A total of 23 occlusion events were detected in the lower TDD group and 44 events in the higher TDD group within 30 min of rising glucose (figure 2).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataNo diabetic ketoacidosis or severe hypoglycemia events occurred.
“showing no DKA or severe hypoglycemia events and very little time spent in level 1 and level 2 hypoglycemia.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataAt 60-minute post-occlusion alarm, rising glucose had been reversed in the lower TDD group and stabilized in the higher TDD group.
“At 60-minute post-occlusion alarm, rising glucose had been reversed in the lower TDD group and stabilized in the higher TDD group.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataOcclusion alarms were generated within 30 min of rising glucose, with consistent detection across participants with varying insulin requirements.
“Our results showed that occlusion alarms were generated within 30 min of rising glucose, with consistent detection across participants with varying insulin requirements.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataTime spent at <54 mg/dL was 0.3%, well below the recommended <1%.
“the time spent at <54 mg/dL (0.3%) was well below the recommended <1%.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThe structured training and support provided during the study may not reflect real-world initiation, potentially affecting usability and safety outcomes.
“Moreover, recruitment from an existing clinic population with higher technology literacy and engagement may bias results toward favorable outcomes, and the structured training and support provided during the study may not reflect real-world initiation, potentially affecting usability and safety outcomes.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductnone givenThe study incorporated CGM-based glycemic assessments using internationally recognized metrics, enabling comparison with established performance targets and other commercially available AID systems.
“The study incorporated CGM-based glycemic assessments using internationally recognized metrics, enabling comparison with established performance targets and other commercially available AID systems.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataThe high study completion rate and absence of severe hypoglycemia, diabetic ketoacidosis, or other serious adverse events support feasibility and tolerability of the system during early adoption.
“The high study completion rate and absence of severe hypoglycemia, DKA, or other serious adverse events further support the feasibility and tolerability of the system during early adoption.”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
Study design and conductreasoningTo minimize confounding, occlusion notifications with carbohydrate entry or insulin bolus within 3 hours before or 1 hour after the alarm were excluded.
“To minimize confounding factors of meals and boluses, occlusion notifications with either a carbohydrate entry or insulin bolus delivery occurring within 3 hours before or 1 hour after the alarm were excluded.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductnone givenThe short study duration does not allow for assessment of long-term glycemic effects, device adherence, or durability of usability outcomes.
“The single-arm, non-comparative methodology precludes direct attribution of observed improvements to the twiist AID System, and the short study duration does not allow for assessment of long-term glycemic effects, device adherence, or durability of usability outcomes.”
Quote in the paperSubstantial claimMay combine two claims.
PremisecitationAlarm systems are often inadequate; 66.3% of users detected infusion set failures through hyperglycemic symptoms, while only 25% were alerted by pump alarms.
“Alarm systems are often inadequate, as evidenced by a survey where 66.3% of users detected infusion set failures through hyperglycemic symptoms, while only 25% were alerted by pump alarms.24”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Wilcox, 2021, 696-P: Insulin Pump Infusion Set Failure (IPISF) Management: T1D Exchange Survey, Diabetes source
Probably not a substantial claim: may not pass S4 (based). May combine two claims.
Premisenone givenStable glucose levels during the 60- to 30-minute period before an occlusion alarm suggest continued insulin delivery, whereas rising glucose levels before the alarm suggest interrupted insulin delivery.
“Stable glucose levels during the period between 60- to 30-minute period minute preceding occlusion alarms would suggest continued insulin delivery, whereas rising glucose levels before the alarm would suggest that insulin delivery had been interrupted .”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe study provides early evidence regarding the system's safety, usability, and glycemic performance in a real-world clinical setting.
“First, it represents the first clinical evaluation of the twiist AID System in adults with type 1 diabetes, providing early evidence regarding the system’s safety, usability, and glycemic performance in a real-world clinical setting.”
Quote in the paperSubstantial claim- Rests on an assumption: The twiist AID System had not previously been clinically evaluated in adults with type 1 diabetes.
May combine two claims.
Interpretationown dataSafety was demonstrated with no serious adverse events despite a lower correction range with a midpoint of ≤100 mg/dL.
“Importantly, safety was demonstrated with no serious adverse events during the course of the study despite a lower correction range with a midpoint of ≤100 mg/dL; the time spent at <54 mg/dL (0.3%) was well below the recommended <1%.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe effect of basal rates on occlusion detection was indirectly assessed by comparing occlusion events among participants with above median total daily insulin delivery versus below median total daily insulin delivery.
“The effect of basal rates on occlusion detection was indirectly assessed by comparing occlusion events among participants with higher basal rates represented by above median TDD versus those with lower rates (below the median TDD).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
Study design and conductnone givenSafety was assessed through monitoring of adverse events, device issues, and prespecified glycemic safety endpoints.
“Safety was assessed through monitoring of adverse events, device issues, and prespecified glycemic safety endpoints at study visits and as needed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenAll participants provided signed informed consent.
“All participants provided signed informed consent.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenThe prespecified statistical analyses were performed for all participants who entered the study.
“The prespecified statistical analyses were performed for all participants who entered the study.”
Quote in the paperNot a substantial claimMay combine two claims.
Premisenone givenPercent time above range >250 mg/dL is influenced by interruptions in insulin delivery and by postprandial glucose excursions, initial device settings, and user acclimation during early system adoption.
“The observed %TAR (>250 mg/dL) should be interpreted in the context of several study-specific factors unrelated to occlusion detection performance. %TAR is influenced by interruptions in insulin delivery and by postprandial glucose excursions, initial device settings, and user acclimation during early system adoption.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The twiist AID System had not previously been clinically evaluated in adults with type 1 diabetes.
“The twiist AID System uses direct insulin volume-sensing technology, although its clinical performance had not previously been studied.”
“This study marks the first clinical evaluation of the twiist System and first-time use among participants who were concurrently adjusting to new workflows, insulin settings, and meal handling behaviors, all of which are known to transiently increase postprandial hyperglycemia during early AID initiation.”
The paper relies on this without support.
The twiist system directly measures insulin volume using acoustic volume-sensing technology.
“The system uses acoustic volume-sensing technology (iiSure) to directly measure the volume of insulin delivered with each individual microdose.”
Cites
Battelino, T., Danne, T., Bergenstal, R. M., Amiel, S. A., Beck, R., Biester, T., Bosi, E., Buckingham, B. A., Cefalu, W. T., Close, K. L., et al. (2019) · Diabetes Care · doi:10.2337/dci19-0028 · Cited by 4,032 · see citing works
McCambridge, J., Witton, J., & Elbourne, D. R. (2014) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2013.08.015 · Cited by 2,748 · see citing works
Glucose management indicator (GMI): a new term for estimating A1C from continuous glucose monitoring
Bergenstal, R. M., Beck, R. W., Close, K. L., Grunberger, G., Sacks, D. B., Kowalski, A., Brown, A. S., Heinemann, L., Aleppo, G., Ryan, D. B., et al. (2018) · Diabetes Care · doi:10.2337/dc18-1581 · Cited by 684 · see citing works
7. Diabetes Technology: Standards of Care in Diabetes—2025
American Diabetes Association Professional Practice Committee, ElSayed, N. A., McCoy, R. G., Aleppo, G., Balapattabi, K., Beverly, E. A., Briggs Early, K., Bruemmer, D., Echouffo-Tcheugui, J. B., Ekhlaspour, L., et al. (2025) · Diabetes Care · doi:10.2337/dc25-s007 · Cited by 348 · see citing works
Brown, S. A., Forlenza, G. P., Bode, B. W., Pinsker, J. E., Levy, C. J., Criego, A. B., Hansen, D. W., Hirsch, I. B., Carlson, A. L., Bergenstal, R. M., et al. (2021) · Diabetes Care · doi:10.2337/dc21-0172 · Cited by 286 · see citing works
Self-citationCarlson, A. L., Sherr, J. L., Shulman, D. I., Garg, S. K., Pop-Busui, R., Bode, B. W., Lilenquist, D. R., Brazg, R. L., Kaiserman, K. B., Kipnes, M. S., et al. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0319 · Cited by 230 · see citing works
Self-citationHeinemann, L., Fleming, G. A., Petrie, J. R., Holl, R. W., Bergenstal, R. M., & Peters, A. L. (2015) · Diabetes Care · doi:10.2337/dc15-0168 · Cited by 143 · see citing works
A Systematic Review of Commercial Hybrid Closed-Loop Automated Insulin Delivery Systems
Peacock, S., Frizelle, I., & Hussain, S. (2023) · Diabetes Therapy · doi:10.1007/s13300-023-01394-5 · Cited by 122 · see citing works
Castañeda, J., Arrieta, A., van den Heuvel, T., Battelino, T., & Cohen, O. (2024) · Diabetes Care · doi:10.2337/dc23-1581 · Cited by 107 · see citing works
Forlenza, G. P., DeSalvo, D. J., Aleppo, G., Wilmot, E. G., Berget, C., Huyett, L. M., Hadjiyianni, I., Méndez, J. J., Conroy, L. R., Ly, T. T., et al. (2024) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2023.0578 · Cited by 99 · see citing works
A Review of Insulin Resistance in Type 1 Diabetes: Is There a Place for Adjunctive Metformin?
Priya, G., & Kalra, S. (2017) · Diabetes Therapy · doi:10.1007/s13300-017-0333-9 · Cited by 97 · see citing works
Randomized Trial of Infusion Set Function: Steel Versus Teflon
Patel, P. J., Benasi, K., Ferrari, G., Evans, M. G., Shanmugham, S., Wilson, D. M., & Buckingham, B. A. (2014) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2013.0119 · Cited by 90 · see citing works
Rigo, R. S., Levin, L. E., Belsito, D. V., Garzon, M. C., Gandica, R., & Williams, K. M. (2021) · Journal of Diabetes Science and Technology · doi:10.1177/1932296820918894 · Cited by 58 · see citing works
Insulin Pump Occlusions: For Patients Who Have Been Around the (Infusion) Block
Klonoff, D. C., Freckmann, G., & Heinemann, L. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817700545 · Cited by 41 · cited 1× · see citing works
“…to safely achieve or maintain established glycemic targets and suggests the system’s ability to detect occlusions before glucose starts to significantly rise regardless of TDD. Additional studies with larger cohorts and longer duration are needed to support and expand on these findings.”
Kanapka, L. G., Lum, J. W., & Beck, R. W. (2022) · Diabetes Technology & Therapeutics · doi:10.1089/dia.2021.0548 · Cited by 35 · see citing works
Tornese, G., Carletti, C., Lanzetta, M. A., Tamaro, G., Barbi, E., & Faleschini, E. (2023) · Diabetes Care · doi:10.2337/dc22-2046 · Cited by 29 · see citing works
De Meulemeester, J., Keymeulen, B., De Block, C., Van Huffel, L., Taes, Y., Ballaux, D., Spincemaille, K., Lapauw, B., Vanhaverbeke, G., Lowyck, I., et al. (2025) · Diabetologia · doi:10.1007/s00125-025-06366-x · Cited by 27 · see citing works
Occlusion Detection Time in Insulin Pumps at Two Different Basal Rates
Freckmann, G., Kamecke, U., Waldenmaier, D., Haug, C., & Ziegler, R. (2018) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817750404 · Cited by 18 · see citing works
Safety of Insulin Lispro and a Biosimilar Insulin Lispro When Administered Through an Insulin Pump
Thrasher, J. R., Surks, H. K., NOWOTNY, I. K., Pierre, S., Rotthaeuser, B., Wernicke‐Panten, K., & Garg, S. K. (2018) · Journal of Diabetes Science and Technology · doi:10.1177/1932296817753644 · Cited by 17 · see citing works
Randomized Cross-Over Study Comparing Two Infusion Sets for CSII in Daily Life
Freckmann, G., Arndt, S., Fießelmann, A., Klausmann, G., Pralle, K., Künsting, T., & Petersen, B. (2017) · Journal of Diabetes Science and Technology · doi:10.1177/1932296816667510 · Cited by 14 · see citing works
Advances in Insulin Infusion Set in the New Era of Automated Insulin Delivery: A Systematic Review
ZHANG, G., ANSELMO, E., Kwa, T., Cohen, O., Vigersky, R. A., & CHATTARAJ, S. (2022) · Journal of Diabetes Science and Technology · doi:10.1177/19322968221145731 · Cited by 7 · see citing works
Butterfield, R. D., & Sims, N. M. (2024) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2024.3408092 · Cited by 6 · see citing works
696-P: Insulin Pump Infusion Set Failure (IPISF) Management: T1D Exchange Survey
WILCOX, J. H., GRAY, J. C., COOPER, N. R., BLANCO, L. E., KELLEHER, R., VANENGELEN, L. M., & LAL, R. (2021) · Diabetes · doi:10.2337/db21-696-p · Cited by 3 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Wilcox, 2021, 696-P: Insulin Pump Infusion Set Failure (IPISF) Management: T1D Exchange Survey, Diabetes, 70, 10.2337/db21-696-P · DOI · Paper page
- Authors
- Ruiz, A., Mcdonough, A., Snow, K., Bode, B., & Mitri, J.
- Affiliations
- Atlanta Diabetes Associates (US)
- Sequel Med Tech LLC, Manchester, New Hampshire, USA
- ORCID
- Mitri, Joanna
- Venue
- BMJ Open Diabetes Research & Care
- Publisher
- BMJ
- Published
- 2026-07
- Volume
- 14
- Issue
- 4
- Pages
- e006307
- ISSN
- 2052-4897 (ISSN-L)
- PMC
- PMC13404400
- OpenAlex
- W7170794014
- Cited by
- 0
- References
- 23
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMJ Open Diabetes Research & Care (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- PubMed Central (submittedVersion, cc-by-nc)
- Funders
- Sequel Med Tech (N/A)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- artificial pancreas, type 1 diabetes, continuous glucose monitoring, time in range, occlusion detection, HbA1c, total daily insulin dose, hypoglycemia, glycemic control
- MeSH terms
- Glycemic Control, Continuous Glucose Monitoring, Adult, Blood Glucose, Diabetes Mellitus, Type 1, Female, Follow-Up Studies, Glycated Hemoglobin, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Insulin Infusion Systems, Male, Middle Aged, Prognosis, Prospective Studies, Blood Glucose Self-Monitoring, Biomarkers
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-13.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-13.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review