Evidence map›Paper›PMID 42042290›Full record

ArticleJournal of functional biomaterials2026

Comparative Late Effects of Hemostatic Biomaterials on Wound Healing at 14 and 30 Days: An In Vivo Animal Study.

Polina Shabes, Julian-Dario Rembe, Arzu Mammadova, Katharina Henrika Beckamp, Markus Udo Wagenhäuser, Wiebke Ibing, Hubert Schelzig, Waseem Garabet

Abstract read
In one paragraph

Article in Journal of functional biomaterials, 2026. 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.

Polina ShabesDepartment of Vascular and Endovascular Surgery, University Hospital of Duesseldorf, Heinrich-Heine University (HHU), 40225 Düsseldorf, Germany.
Julian-Dario RembeDepartment of Vascular and Endovascular Surgery, University Hospital of Duesseldorf, Heinrich-Heine University (HHU), 40225 Düsseldorf, Germany.ORCID 0000-0002-5176-6941
Arzu MammadovaDepartment of Vascular and Endovascular Surgery, University Hospital of Duesseldorf, Heinrich-Heine University (HHU), 40225 Düsseldorf, Germany.
Katharina Henrika BeckampDepartment of Vascular and Endovascular Surgery, University Hospital of Duesseldorf, Heinrich-Heine University (HHU), 40225 Düsseldorf, Germany.
Markus Udo WagenhäuserDepartment of Vascular and Endovascular Surgery, University Hospital of Duesseldorf, Heinrich-Heine University (HHU), 40225 Düsseldorf, Germany.ORCID 0000-0002-0379-8607
Wiebke IbingDepartment of Vascular and Endovascular Surgery, University Hospital of Duesseldorf, Heinrich-Heine University (HHU), 40225 Düsseldorf, Germany.
Hubert SchelzigDepartment of Vascular and Endovascular Surgery, University Hospital of Duesseldorf, Heinrich-Heine University (HHU), 40225 Düsseldorf, Germany.
Waseem GarabetDepartment of Vascular and Endovascular Surgery, University Hospital of Duesseldorf, Heinrich-Heine University (HHU), 40225 Düsseldorf, Germany.ORCID 0009-0005-9271-8697

Funding

GELITA MEDICAL GmbH (701261797/01)
6 · The paper itself

Abstract

Hemostatic biomaterial agents are widely used during surgery and trauma care to control bleeding, yet their effects on wound healing remain incompletely understood. This study evaluated the impact of oxidized non-regenerated cellulose (ONRC), oxidized regenerated cellulose (ORC), and a gelatin-based hemostat (GELA) on wound healing at 14 and 30 days in a mouse model. Full-thickness wounds were created in C57BL/6J mice (

Indexed as

gelatingrowth factorshemostatic biomaterialsoxidized cellulosewound healing

Identifiers

PMID42042290
PMCPMC13117686

What OpenQuestion holds

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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.