Evidence map›Paper›PMID 24876443›Full record

ArticleJournal of diabetes science and technology2014

Effect of algorithm aggressiveness on the performance of the Hypoglycemia-Hyperglycemia Minimizer (HHM) System.

Daniel A Finan, Thomas W McCann, Kathleen Rhein, Eyal Dassau, Marc D Breton, Stephen D Patek, Henry Anhalt, Boris P Kovatchev, Francis J Doyle, Stacey M Anderson and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025
    Review
  4. Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025
    Review
  5. Article
  6. Review
  7. Physical activity and type 1 diabetes: time for a rewire?Journal of diabetes science and technology · 2015
    Review
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

12 authors at 3 institutions in 1 country.

Daniel A FinanAnimas Corporation, Wayne, PA, USA dfinan@its.jnj.com.
Thomas W McCannAnimas Corporation, Wayne, PA, USA.
Kathleen RheinAnimas Corporation, Wayne, PA, USA.
Eyal DassauUniversity of California, Santa Barbara, Santa Barbara, CA, USA Sansum Diabetes Research Institute, Santa Barbara, CA, USA.
Marc D BretonUniversity of Virginia, Charlottesville, VA, USA.
Stephen D PatekUniversity of Virginia, Charlottesville, VA, USA.
Henry AnhaltAnimas Corporation, Wayne, PA, USA.
Boris P KovatchevUniversity of Virginia, Charlottesville, VA, USA.
Francis J DoyleUniversity of California, Santa Barbara, Santa Barbara, CA, USA Sansum Diabetes Research Institute, Santa Barbara, CA, USA.
Stacey M AndersonUniversity of Virginia, Center for Diabetes Technology, Charlottesville, VA, USA.
Howard ZisserUniversity of California, Santa Barbara, Santa Barbara, CA, USA Sansum Diabetes Research Institute, Santa Barbara, CA, USA.
Ramakrishna VenugopalanAnimas Corporation, Wayne, PA, USA.
University of Virginia · USUniversity of California, Santa Barbara · USSansum Diabetes Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Hypoglycemia-Hyperglycemia Minimizer (HHM) System aims to mitigate glucose excursions by preemptively modulating insulin delivery based on continuous glucose monitor (CGM) measurements. The "aggressiveness factor" is a key parameter in the HHM System algorithm, affecting how readily the system adjusts insulin infusion in response to changing CGM levels. Twenty adults with type 1 diabetes were studied in closed-loop in a clinical research center for approximately 26 hours. This analysis focused on the effect of the aggressiveness factor on the insulin dosing characteristics of the algorithm and, to a lesser extent, on the glucose control results observed. As the aggressiveness factor increased from conservative to medium to aggressive: the maximum observed insulin dose delivered by the algorithm—which is designed to give doses that are corrective in nature every 5 minutes—increased (1.00 vs 1.15 vs 2.20 U, respectively); tendency to adhere to the subject's nominal basal dose decreased (61.9% vs 56.6% vs 53.4%); and readiness to decrease insulin below basal also increased (18.4% vs 19.4% vs 25.2%). Glucose analyses by both CGM and Yellow Springs Instruments (YSI) indicated that the aggressive setting of the algorithm resulted in the least time spent at levels >180 mg/dL, and the most time spent between 70-180 mg/dL. There was no severe hyperglycemia, diabetic ketoacidosis, or severe hypoglycemia for any of the aggressiveness values investigated. These analyses underscore the importance of investigating the sensitivity of the HHM System to its key parameters, such as the aggressiveness factor, to guide future development decisions.

Indexed as

AlgorithmsAdultBlood GlucoseDiabetes MellitusDiabetes Mellitus, Type 1Feasibility StudiesFemaleGlycated HemoglobinHumansHyperglycemiaHypoglycemiaHypoglycemic AgentsInsulinInsulin Infusion SystemsMalePatient SafetyBlood GlucoseGlycated HemoglobinHypoglycemic AgentsInsulinaggressiveness factoralgorithmartificial pancreasclosed looptuning parameter

Identifiers

PMID24876443
PMCPMC4764230
OpenAlexW1994078979

What OpenQuestion holds

Textmetadata
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.