Evidence map›Paper›PMID 38488241›Full record

ArticleJournal of biomedical materials research. Part A2024

pO

Amy E Emerson, Yuka Sugamura, Jad Mazboudi, Tuhfah M Abdallah, Charmayne D Seaton, Azin Ghasemi, Vikram D Kodibagkar, Jessica D Weaver

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of biomedical materials research. Part A, 2024. 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
–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

0 citing papers in PubMed.

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

8 authors.

Amy E EmersonSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Yuka SugamuraSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Jad MazboudiSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Tuhfah M AbdallahSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Charmayne D SeatonSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Azin GhasemiSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Vikram D KodibagkarSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Jessica D WeaverSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.ORCID 0000-0001-7394-2443

Funding

NCRR NIH HHS S10 RR027154NIAID NIH HHS R21 AI151865NIDDK NIH HHS R01 DK129858NIDDK NIH HHS R01DK129858NIH HHS 1S10 RR027154-01A1
6 · The paper itself

Abstract

Hydrogel cell encapsulation devices are a common approach to reduce the need for chronic systemic immunosuppression in allogeneic cell product transplantation. Macroencapsulation approaches are an appealing strategy, as they maximize graft retrievability and cell dosage within a single device; however, macroencapsulation devices face oxygen transport challenges as geometries increase from preclinical to clinical scales. Device design guided by computational approaches can facilitate graft oxygen availability to encapsulated cells in vivo but is limited without accurate measurement of oxygen levels within the transplant site and graft. In this study, we engineer pO

Indexed as

HydrogelsMagnetic Resonance ImagingOxygenCell EncapsulationHumansOximetryHydrogelsOxygencell therapyhydrogelmacroencapsulationmagnetic resonanceoximetry

Identifiers

PMID38488241
PMCPMC11239328

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.