Evidence map›Paper›PMID 28474383›Full record

ArticleDiabetes, obesity & metabolism2017

Intraperitoneal insulin delivery provides superior glycaemic regulation to subcutaneous insulin delivery in model predictive control-based fully-automated artificial pancreas in patients with type 1 diabetes: a pilot study.

Eyal Dassau, Eric Renard, Jérôme Place, Anne Farret, Marie-José Pelletier, Justin Lee, Lauren M Huyett, Ankush Chakrabarty, Francis J Doyle, Howard C Zisser

Open access · greenAbstract readComparative Study
In one paragraph

Article in Diabetes, obesity & metabolism, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 2% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025
    Review
  5. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Microfluidic-based systems for the management of diabetes.Drug delivery and translational research · 2024
    Review
  10. Review
  11. Review
  12. Article
  13. Review
  14. APL bioengineering · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Powering Implantable and Ingestible Electronics.Advanced functional materials · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Eyal DassauHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.ORCID 0000-0001-5333-6892
Eric RenardDepartment of Endocrinology, Diabetes, Nutrition and INSERM Clinical Investigation Center 1411, University Hospital of Montpellier, Montpellier, France.
Jérôme PlaceDepartment of Psychology, Institute of Functional Genomics, CNRS UMR5203, INSERM U1191, University of Montpellier, Montpellier, France.
Anne FarretDepartment of Endocrinology, Diabetes, Nutrition and INSERM Clinical Investigation Center 1411, University Hospital of Montpellier, Montpellier, France.
Marie-José PelletierDepartment of Endocrinology, Diabetes, Nutrition and INSERM Clinical Investigation Center 1411, University Hospital of Montpellier, Montpellier, France.
Justin LeeDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California.
Lauren M HuyettDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California.
Ankush ChakrabartyHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Francis J DoyleHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts.
Howard C ZisserDepartment of Chemical Engineering, University of California Santa Barbara, Santa Barbara, California.
Centre National de la Recherche Scientifique · FRHarvard University · USUniversity of California, Santa Barbara · USInserm · FR

Funding

Closed-loop Artificial Pancreas: Algorithm Engineering and Clinical EvaluationR01DK085628 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI DOYLE, FRANCIS J, JOVANOVIC, LOIS · 2009 to 2013
$3.4M
An Implanted Intraperitoneal (IP-IP) Artificial Pancreas; a quantum leap forwardDP3DK101068 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI ZISSER, HOWARD · 2013 to 2016
$2.6M
NIDDK NIH HHS DP3 DK101068NIDDK NIH HHS R01 DK085628
6 · The paper itself

Abstract

aimsTo compare intraperitoneal (IP) to subcutaneous (SC) insulin delivery in an artificial pancreas (AP). RESEARCH DESIGN AND

methodsTen adults with type 1 diabetes participated in a non-randomized, non-blinded sequential AP study using the same SC glucose sensing and Zone Model Predictive Control (ZMPC) algorithm adjusted for insulin clearance. On first admission, subjects underwent closed-loop control with SC delivery of a fast-acting insulin analogue for 24 hours. Following implantation of a DiaPort IP insulin delivery system, the identical 24-hour trial was performed with IP regular insulin delivery. The clinical protocol included 3 unannounced meals with 70, 40 and 70 g carbohydrate, respectively. Primary endpoint was time spent with blood glucose (BG) in the range of 80 to 140 mg/dL (4.4-7.7 mmol/L).

resultsPercent of time spent within the 80 to 140 mg/dL range was significantly higher for IP delivery than for SC delivery: 39.8 ± 7.6 vs 25.6 ± 13.1 ( P = .03). Mean BG (mg/dL) and percent of time spent within the broader 70 to 180 mg/dL range were also significantly better for IP insulin: 151.0 ± 11.0 vs 190.0 ± 31.0 ( P = .004) and 65.7 ± 9.2 vs 43.9 ± 14.7 ( P = .001), respectively. Superiority of glucose control with IP insulin came from the reduced time spent in hyperglycaemia (>180 mg/dL: 32.4 ± 8.9 vs 53.5 ± 17.4, P = .014; >250 mg/dL: 5.9 ± 5.6 vs 23.0 ± 11.3, P = .0004). Higher daily doses of insulin (IU) were delivered with the IP route (43.7 ± 0.1 vs 32.3 ± 0.1, P < .001) with no increased percent time spent <70 mg/dL (IP: 2.5 ± 2.9 vs SC: 4.1 ± 5.3, P = .42).

conclusionsGlycaemic regulation with fully-automated AP delivering IP insulin was superior to that with SC insulin delivery. This pilot study provides proof-of-concept for an AP system combining a ZMPC algorithm with IP insulin delivery.

Indexed as

Insulin Infusion SystemsPancreas, ArtificialAdultAlgorithmsBlood GlucoseDiabetes Mellitus, Type 1FemaleFranceGlycated HemoglobinHumansHyperglycemiaHypoglycemiaHypoglycemic AgentsInfusions, ParenteralInfusions, SubcutaneousInsulin LisproBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanHypoglycemic AgentsInsulin LisproInsulin, Regular, Humanartificial pancreasCGMclosed-loopCSIIDiaPorthyperglycaemiahypoglycaemia intraperitonealinsulin pumpmodel predictive controltype 1 diabetes

Identifiers

PMID28474383
PMCPMC5742859
OpenAlexW2611157854

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 OpenQuestion graph.