Evidence map›Paper›PMID 27097769›Full record

ArticleScientific reports2016

Effectiveness of Multiple Blood-Cleansing Interventions in Sepsis, Characterized in Rats.

Ivan Stojkovic, Mohamed Ghalwash, Xi Hang Cao, Zoran Obradovic

Abstract read
In one paragraph

Article in Scientific reports, 2016. 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

4 authors.

Ivan StojkovicCenter for Data Analytics and Biomedical Informatics, College of Science and Technology, Temple University, 19122, Philadelphia, PA, USA.
Mohamed GhalwashCenter for Data Analytics and Biomedical Informatics, College of Science and Technology, Temple University, 19122, Philadelphia, PA, USA.
Xi Hang CaoCenter for Data Analytics and Biomedical Informatics, College of Science and Technology, Temple University, 19122, Philadelphia, PA, USA.
Zoran ObradovicCenter for Data Analytics and Biomedical Informatics, College of Science and Technology, Temple University, 19122, Philadelphia, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a serious, life-threatening condition that presents a growing problem in medicine, but there is still no satisfying solution for treating it. Several blood cleansing approaches recently gained attention as promising interventions that target the main site of problem development-the blood. The focus of this study is an evaluation of the theoretical effectiveness of hemoadsorption therapy and pathogen reduction therapy. This is evaluated using the mathematical model of Murine sepsis, and the results of over 2,200 configurations of single and multiple intervention therapies simulated on 5,000 virtual subjects suggest the advantage of pathogen reduction over hemoadsorption therapy. However, a combination of two approaches is found to take advantage of their complementary effects and outperform either therapy alone. The conducted computational experiments provide unprecedented evidence that the combination of two therapies synergistically enhances the positive effects beyond the simple superposition of the benefits of two approaches. Such a characteristic could have a profound influence on the way sepsis treatment is conducted.

Indexed as

Models, BiologicalAnimalsComputer SimulationDisease Models, AnimalMiceModels, TheoreticalRatsSepsisSeverity of Illness IndexTime FactorsTreatment Outcome

Identifiers

PMID27097769
PMCPMC4838820

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.