Evidence mapPaperPMID 37134305Full record

Trial reportDiabetes care2023

A Randomized Crossover Trial to Compare Automated Insulin Delivery (the Artificial Pancreas) With Carbohydrate Counting or Simplified Qualitative Meal-Size Estimation in Type 1 Diabetes.

Ahmad Haidar, Laurent Legault, Marie Raffray, Nikita Gouchie-Provencher, Adnan Jafar, Marie Devaux, Milad Ghanbari, Rémi Rabasa-Lhoret

Open access · bronzeAbstract readRandomized Controlled TrialEquivalence Trial
In one paragraph

Trial report in Diabetes care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.6field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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  14. A diabetes update.Journal of diabetes · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 5 institutions in 1 country.

Ahmad Haidar1Department of Biomedical Engineering, McGill University, Montréal, Quebéc, Canada.
Laurent Legault3Montreal Children's Hospital, McGill University Health Centre, Montréal, Québec, Canada.
Marie Raffray4Institut de Recherches Cliniques de Montréal, Montréal, Québec, Canada.
Nikita Gouchie-Provencher2The Research Institute of McGill University Health Centre, Montréal, Québec, Canada.
Adnan Jafar1Department of Biomedical Engineering, McGill University, Montréal, Quebéc, Canada.
Marie Devaux4Institut de Recherches Cliniques de Montréal, Montréal, Québec, Canada.
Milad Ghanbari1Department of Biomedical Engineering, McGill University, Montréal, Quebéc, Canada.
Rémi Rabasa-Lhoret4Institut de Recherches Cliniques de Montréal, Montréal, Québec, Canada.ORCID 0000-0003-4706-5170
McGill University · CAMcGill University Health Centre · CAMontreal Clinical Research Institute · CACentre Hospitalier de l’Université de Montréal · CAMontreal Children's Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveQualitative meal-size estimation has been proposed instead of quantitative carbohydrate (CHO) counting with automated insulin delivery. We aimed to assess the noninferiority of qualitative meal-size estimation strategy. RESEARCH DESIGN AND

methodsWe conducted a two-center, randomized, crossover, noninferiority trial to compare 3 weeks of automated insulin delivery with 1) CHO counting and 2) qualitative meal-size estimation in adults with type 1 diabetes. Qualitative meal-size estimation categories were low, medium, high, or very high CHO and were defined as <30 g, 30-60 g, 60-90 g, and >90 g CHO, respectively. Prandial insulin boluses were calculated as the individualized insulin to CHO ratios multiplied by 15, 35, 65, and 95, respectively. Closed-loop algorithms were otherwise identical in the two arms. The primary outcome was time in range 3.9-10.0 mmol/L, with a predefined noninferiority margin of 4%.

resultsA total of 30 participants completed the study (n = 20 women; age 44 (SD 17) years; A1C 7.4% [0.7%]). The mean time in the 3.9-10.0 mmol/L range was 74.1% (10.0%) with CHO counting and 70.5% (11.2%) with qualitative meal-size estimation; mean difference was -3.6% (8.3%; noninferiority P = 0.78). Frequencies of times at <3.9 mmol/L and <3.0 mmol/L were low (<1.6% and <0.2%) in both arms. Automated basal insulin delivery was higher in the qualitative meal-size estimation arm (34.6 vs. 32.6 units/day; P = 0.003).

conclusionsThough the qualitative meal-size estimation method achieved a high time in range and low time in hypoglycemia, noninferiority was not confirmed.

Indexed as

Diabetes Mellitus, Type 1Pancreas, ArtificialAdultBlood GlucoseCross-Over StudiesFemaleHumansHypoglycemic AgentsInsulinInsulin Infusion SystemsInsulin, Regular, HumanBlood GlucoseHypoglycemic AgentsInsulinInsulin, Regular, Human

Identifiers

PMID37134305
PMCPMC10300520
OpenAlexW4367836883

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.