Evidence map›Paper›PMID 28159517›Full record

ReviewJournal of controlled release : official journal of the Controlled Release Society2017

Glucose-responsive insulin release: Analysis of mechanisms, formulations, and evaluation criteria.

Jianhai Yang, Zhiqiang Cao

Abstract readReview
In one paragraph

Review in Journal of controlled release : official journal of the Controlled Release Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Emerging Theranostic Nanomaterials in Diabetes and Its Complications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Review
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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

2 authors.

Jianhai YangDepartment of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI 48202, United States; Department of Chemistry, School of Science, Xi'an Jiaotong University, Xi'an, Shaanxi 710049, PR China.
Zhiqiang CaoDepartment of Chemical Engineering and Materials Science, Wayne State University, Detroit, MI 48202, United States. Electronic address: zcao@wayne.edu.

Funding

A Novel Formulation Enabling Longevity of Subcutaneous Insulin InfusionDP2DK111910 · NIDDK · WAYNE STATE UNIVERSITY · PI CAO, ZHIQIANG · 2016 to 2016
$1.3M
NIDDK NIH HHS DP2 DK111910
6 · The paper itself

Abstract

Diabetes mellitus has become one of the biggest medical challenges affecting millions of people globally. Alternative treatments for diabetes are currently being intensively investigated to improve the treatment efficacy and life qualities for diabetic patients. Glucose-responsive insulin release (GRIR) systems have exhibited tremendous potential to improve the normal glycemic control and to reduce the incidence of hyperglycemia and hypoglycemia, which further reduces potential complications in diabetic patients. In a given GRIR drug formulation, accuracy, response time, and reversibility of the GRIR functions are three key features enabling potential seamless control of blood glucose level. Nevertheless, there is significant challenge preventing current GRIR formulations from achieving them. This review article analyzes the most updated literature and provides insights on the impact of GRIR mechanisms, and formulations on these key features, and the relevant in vitro and in vivo evaluation methods to test these functions.

Indexed as

Blood GlucoseAnimalsDrug CompoundingHumansHypoglycemic AgentsInsulinBlood GlucoseHypoglycemic AgentsInsulinEvaluation methodFormulationGlucose-responsiveInsulinMechanism

Identifiers

PMID28159517
PMCPMC5630063

What OpenQuestion holds

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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.