Evidence map›Paper›PMID 30510589›Full record

ArticleStem cells international2018

Oxygen Tension Strongly Influences Metabolic Parameters and the Release of Interleukin-6 of Human Amniotic Mesenchymal Stromal Cells

Asmita Banerjee, Andrea Lindenmair, Ralf Steinborn, Sergiu Dan Dumitrescu, Simone Hennerbichler, Andrey V Kozlov, Heinz Redl, Susanne Wolbank, Adelheid Weidinger

Open access · goldAbstract read
In one paragraph

Article in Stem cells international, 2018. 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
1.0field-weighted citation impact, top 23% 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, 13 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

9 authors at 3 institutions in 1 country.

Asmita BanerjeeLudwig Boltzmann Institute for Experimental and Clinical Traumatology, AUVA Research Center, Donaueschingenstraße 13, 1200 Vienna, Austria.ORCID 0000-0002-0356-9513
Andrea LindenmairAustrian Cluster for Tissue Regeneration, Vienna, Austria.ORCID 0000-0002-5300-3876
Ralf SteinbornGenomics Core Facility, VetCore, University of Veterinary Medicine, Veterinaerplatz 1, 1210 Vienna, Austria.ORCID 0000-0001-9287-5039
Sergiu Dan DumitrescuLudwig Boltzmann Institute for Experimental and Clinical Traumatology, AUVA Research Center, Donaueschingenstraße 13, 1200 Vienna, Austria.ORCID 0000-0002-1688-7094
Simone HennerbichlerRed Cross Blood Transfusion Service for Upper Austria, Krankenhausstraße 7, 4017 Linz, Austria.ORCID 0000-0002-8065-8448
Andrey V KozlovLudwig Boltzmann Institute for Experimental and Clinical Traumatology, AUVA Research Center, Donaueschingenstraße 13, 1200 Vienna, Austria.ORCID 0000-0002-0834-4997
Heinz RedlLudwig Boltzmann Institute for Experimental and Clinical Traumatology, AUVA Research Center, Donaueschingenstraße 13, 1200 Vienna, Austria.ORCID 0000-0003-1654-462X
Susanne WolbankLudwig Boltzmann Institute for Experimental and Clinical Traumatology, AUVA Research Center, Donaueschingenstraße 13, 1200 Vienna, Austria.ORCID 0000-0002-1244-5854
Adelheid WeidingerLudwig Boltzmann Institute for Experimental and Clinical Traumatology, AUVA Research Center, Donaueschingenstraße 13, 1200 Vienna, Austria.ORCID 0000-0002-2759-211X
Ludwig Boltzmann Institute for Traumatology, The Research Center in Cooperation with AUVA · ATAustrian Red Cross · ATUniversity of Veterinary Medicine Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human amniotic membrane (hAM) has been used for tissue regeneration for over a century.

Identifiers

PMID30510589
PMCPMC6230389
OpenAlexW2898475050

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.