Evidence map›Paper›PMID 38525198›Full record

ArticleIEEE transactions on control systems technology : a publication of the IEEE Control Systems Society2023

Glucose Rate-of-Change and Insulin-on-Board Jointly Weighted Zone Model Predictive Control.

Sunil Deshpande, Francis J Doyle, Eyal Dassau

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 1 institution in 1 country.

Sunil DeshpandeHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
Francis J DoyleHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
Eyal DassauHarvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
Harvard University · US

Funding

On-body ecosystem for automated insulin delivery in type 1 diabetesDP3DK113511 · NIDDK · YALE UNIVERSITY · PI DASSAU, EYAL, LAFFEL, LORI M · 2017 to 2017
$3.0M
Pediatric Artificial Pancreas System for Enhanced Diabetes Management in Young Children with Type 1 DiabetesDP3DK104057 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI DASSAU, EYAL, DOYLE, FRANCIS J · 2014 to 2014
$1.8M
NIDDK NIH HHS DP3 DK104057NIDDK NIH HHS DP3 DK113511
6 · The paper itself

Abstract

We present design and evaluation of closed-loop insulin delivery using zone model predictive control (MPC) featuring an adaptive weighting scheme to address prolonged hyperglycemia due to changes in insulin sensitivity, underdelivery from profile mismatch, and meal composition. In the MPC cost function, the penalty on predicted glucose deviation from the upper zone boundary is weighted by a

Indexed as

adaptive algorithmsclosed-loop insulin deliverydiabetesmedical control systemsmodel predictive control

Identifiers

PMID38525198
PMCPMC10958373
OpenAlexW4385413484

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.