Evidence mapPaperPMID 33484736Full record

ReviewAdvanced drug delivery reviews2021

Modulating the foreign body response of implants for diabetes treatment.

Bhushan N Kharbikar, Gauree S Chendke, Tejal A Desai

Open access · bronzeAbstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
11.1field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 73 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Bhushan N KharbikarDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94143, USA.
Gauree S ChendkeUniversity of California Berkeley - University of California San Francisco Graduate Program in Bioengineering, San Francisco, CA 94143, USA.
Tejal A DesaiDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA 94143, USA; University of California Berkeley - University of California San Francisco Graduate Program in Bioengineering, San Francisco, CA 94143, USA; Department of Bioengineering, University of California, Berkeley, CA 94720, USA. Electronic address: Tejal.Desai@ucsf.edu.
University of California, San Francisco · USUniversity of California, Berkeley · US

Funding

UCSF/UCB BIOENGINEERING GRADUATE PROGRAMT32GM008155 · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · 1985 to 2005
$2.3M
NIGMS NIH HHS T32 GM008155
6 · The paper itself

Abstract

Diabetes Mellitus is a group of diseases characterized by high blood glucose levels due to patients' inability to produce sufficient insulin. Current interventions often require implants that can detect and correct high blood glucose levels with minimal patient intervention. However, these implantable technologies have not reached their full potential in vivo due to the foreign body response and subsequent development of fibrosis. Therefore, for long-term function of implants, modulating the initial immune response is crucial in preventing the activation and progression of the immune cascade. This review discusses the different molecular mechanisms and cellular interactions involved in the activation and progression of foreign body response (FBR) and fibrosis, specifically for implants used in diabetes. We also highlight the various strategies and techniques that have been used for immunomodulation and prevention of fibrosis. We investigate how these general strategies have been applied to implants used for the treatment of diabetes, offering insights on how these devices can be further modified to circumvent FBR and fibrosis.

Indexed as

AnimalsBlood GlucoseDiabetes MellitusFibrosisForeign-Body ReactionHumansProstheses and ImplantsBlood GlucoseBiomaterialsDiabetesEncapsulationFibrosisForeign body responseImmune systemImplantsSensorsType I diabetesType II diabetes

Identifiers

PMID33484736
PMCPMC8217111
OpenAlexW3123838846

What Socratic 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 Socratic graph.