Evidence map›Paper›PMID 27668129›Full record

ArticleACS macro letters2015

Steroid-Loaded Hemostatic Nanoparticles Combat Lung Injury after Blast Trauma.

William B Hubbard, Margaret M Lashof-Sullivan, Erin B Lavik, Pamela J VandeVord

Open access · greenAbstract read
In one paragraph

Article in ACS macro letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Biomaterials for Hemostasis.Annual review of biomedical engineering · 2022
    Review
  6. Review
  7. Article
  8. Article
  9. Distinguishing the Unique Neuropathological Profile of Blast Polytrauma.Oxidative medicine and cellular longevity · 2017
    Article
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

4 authors at 2 institutions in 1 country.

William B HubbardSchool of Biomedical Engineering and Sciences, Virginia Tech University, Blacksburg, VA.
Margaret M Lashof-SullivanDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH.
Erin B LavikDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH.
Pamela J VandeVordSchool of Biomedical Engineering and Sciences, Virginia Tech University, Blacksburg, VA; Research Services, Salem VAMC, Salem, VA.
Case Western Reserve University · USVirginia Tech · US

Funding

Clinically Translatable Nanotechnology: Hemostasis and NeuroprotectionDP2OD007338 · OD · CASE WESTERN RESERVE UNIVERSITY · PI LAVIK, ERIN BAKER · 2010 to 2010
$2.4M
NIH HHS DP2 OD007338
6 · The paper itself

Abstract

In response to the lack of therapeutics for internal bleeding following a traumatic event, we synthesized hemostatic dexamethasone nanoparticles (hDNP) to help alleviate internal hemorrhaging. hDNP consist of a block copolymer, poly(lactic-co-glycolic acid)-poly(l-lysine)-poly(ethylene glycol) conjugated to a peptide, glycine-arginine-glycine-aspartic acid-serine (GRGDS). These particles were evaluated as treatment for primary blast lung injury in a rodent model. Animals were randomly placed into test and control groups, exposed to blast and given immediate injection. Recovery was assessed using physiological parameters and immunohistochemistry. We found that dexamethasone-loaded hemostatic nanoparticles alleviate physiological deprivation caused by blast injury and reduce lung injury damage.

Indexed as

dexamethasonehemostaticnanoparticlessynthetic plateletstrauma

Identifiers

PMID27668129
PMCPMC5033257
OpenAlexW2316066254

What OpenQuestion 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 OpenQuestion graph.