Evidence map›Paper›PMID 24876552›Full record

ReviewJournal of diabetes science and technology2014

Extracellular Matrix Scaffold Technology for Bioartificial Pancreas Engineering: State of the Art and Future Challenges.

Marcus Salvatori, Ravi Katari, Timil Patel, Andrea Peloso, Jon Mugweru, Kofi Owusu, Giuseppe Orlando

Abstract readReview
In one paragraph

Review 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 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
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  4. Comprehensive biocompatibility profiling of human pancreas-derived biomaterial.Frontiers in bioengineering and biotechnology · 2025
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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

7 authors.

Marcus SalvatoriOxford University Hospitals NHS Trust, Oxford, UK.
Ravi KatariWake Forest School of Medicine, Winston-Salem, NC, USA.
Timil PatelWake Forest School of Medicine, Winston-Salem, NC, USA.
Andrea PelosoWake Forest School of Medicine, Winston-Salem, NC, USA Department of Surgery, School of Medicine, University of Pavia, Pavia, Italy.
Jon MugweruWake Forest School of Medicine, Winston-Salem, NC, USA.
Kofi OwusuWake Forest School of Medicine, Winston-Salem, NC, USA.
Giuseppe OrlandoWake Forest School of Medicine, Winston-Salem, NC, USA gorlando@wakehealth.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergent technologies in regenerative medicine may soon overcome the limitations of conventional diabetes therapies. Collaborative efforts across the subfields of stem cell technology, islet encapsulation, and biomaterial carriers seek to produce a bioengineered pancreas capable of restoring endocrine function in patients with insulin-dependent diabetes. These technologies rely on a robust understanding of the extracellular matrix (ECM), the supportive 3-dimensional network of proteins necessary for cellular attachment, proliferation, and differentiation. Although these functions can be partially approximated by biosynthetic carriers, novel decellularization protocols have allowed researchers to discover the advantages afforded by the native pancreatic ECM. The native ECM has proven to be an optimal platform for recellularization and whole-organ pancreas bioengineering, an exciting new field with the potential to resolve the dire shortage of transplantable organs. This review seeks to contextualize recent findings, discuss current research goals, and identify future challenges of regenerative medicine as it applies to diabetes management.

Indexed as

bioartificial pancreasdiabetes mellitusextracellular matrixinsulinregenerative medicinestem cells

Identifiers

PMID24876552
PMCPMC4454093

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.