Evidence map›Paper›PMID 33563051›Full record

ArticleJournal of diabetes science and technology2022

New Clamp-PID Algorithm for Automated Glucose Clamps Improves Clamp Quality.

Carsten Benesch, Mareike Kuhlenkötter, Leszek Nosek, Tim Heise

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

4 authors.

Carsten BeneschProfil Institut für Stoffwechselforschung, Neuss, Germany.ORCID 0000-0001-6377-2751
Mareike KuhlenkötterProfil Institut für Stoffwechselforschung, Neuss, Germany.
Leszek NosekProfil Institut für Stoffwechselforschung, Neuss, Germany.
Tim HeiseProfil Institut für Stoffwechselforschung, Neuss, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn automated glucose clamp experiments, blood glucose (BG) concentrations are kept close to a predefined target level using variable glucose infusion rates (GIRs) determined by implemented algorithms. Clamp quality (ie, the ability to keep BG close to target) highly depends on the quality of these algorithms. We developed a new Clamp algorithm based on the proportional-integral-derivative (PID) approach and compared clamp quality between this and the established Biostator (BS) algorithm.

methodsIn numerical simulations, the PID-based algorithm was optimized in silico. The optimized Clamp-PID algorithm was tested in in vitro experiments and finally validated in vivo in a small (

resultsIn silico, in vitro, and in vivo experiments showed better clamp quality for the new Clamp-PID algorithm compared with the BS algorithm: precision and absolute control deviation (ACD) decreased from 3.7% to 1.1% and from 2.9 mg/dL to 0.6 mg/dL, respectively, in the numerical simulation. The in vitro validation demonstrated reductions in precision (from 3.3% ± 0.1% (mean ± SD) to 1.4% ± 0.4%) and in ACD (from 2.3 mg/dL ± 0.4 mg/dL to 0.8 mg/dL ± 0.2 mg/dL), respectively. In the clinical study, precision and ACD improved from 6.5% ± 1.3% to 4.0% ± 1.1% and from 3.6 mg/dL ± 0.9 mg/dL to 2.2 mg/dl ± 0.6 mg/dl, respectively. The quality parameter utility did not change.

conclusionsThe new Clamp-PID algorithm improves the clamp quality parameters precision and ACD versus the BS algorithm.

Indexed as

Diabetes Mellitus, Type 1Insulin Infusion SystemsAlgorithmsBlood GlucoseGlucose Clamp TechniqueHumansInsulinBlood GlucoseInsulinautomated glucose clampClampArtclamp qualitypharmacodynamicsPID algorithmtype 1 diabetes

Identifiers

PMID33563051
PMCPMC8861780

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.