Evidence map›Paper›PMID 35757278›Full record

ArticleAPL bioengineering2022

Machine learning-informed predictions of nanoparticle mobility and fate in the mucus barrier.

Logan Kaler, Katherine Joyner, Gregg A Duncan

Open access · goldAbstract read
In one paragraph

Article in APL bioengineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 16 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 1 institution in 1 country.

Logan KalerBiophysics Program, University of Maryland, College Park, Maryland 20742, USA.ORCID https://orcid.org/0000-0002-6502-5773
Katherine JoynerFischell Department of Bioengineering, University of Maryland, College Park, Maryland 20742, USA.ORCID https://orcid.org/0000-0001-8290-000X
University of Maryland, College Park · US

Funding

Training in Host-pathogens interactionsT32AI089621 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI LEE, VINCENT T, MCIVER, KEVIN S. · 2010 to 2025
$2.1M
Novel Biomolecular and Biophysical Mechanisms of Influenza Virus InfectionR21AI142050 · NIAID · UNIV OF MARYLAND, COLLEGE PARK · PI DUNCAN, GREGG, SCULL, MARGARET ADELE · 2019 to 2020
$413k
NIAID NIH HHS R21 AI142050NIAID NIH HHS T32 AI089621
6 · The paper itself

Abstract

Nanomaterial diffusion through mucus is important to basic and applied areas of research such as drug delivery. However, it is often challenging to interpret nanoparticle dynamics within the mucus gel due to its heterogeneous microstructure and biochemistry. In this study, we measured the diffusion of polyethylene glycolylated nanoparticles (NPs) in human airway mucus

Identifiers

PMID35757278
PMCPMC9217165
OpenAlexW4283269862

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.