Evidence map›Paper›PMID 35743999›Full record

SynthesisMedicina (Kaunas, Lithuania)2022

In Vivo Models for Hypertrophic Scars-A Systematic Review.

Stefan Rössler, Sebastian Philipp Nischwitz, Hanna Luze, Judith C J Holzer-Geissler, Robert Zrim, Lars-Peter Kamolz

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Medicina (Kaunas, Lithuania), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Pharmacological and Biological Efficacy of Chitosan-Based Materials.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Collagen Fibril Orientation Instructs Fibroblast Differentiation Via Cell Contractility.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  13. Review
  14. Article
  15. Review
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

6 authors at 3 institutions in 2 countries.

Stefan RösslerDivision of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, 8036 Graz, Austria.
Sebastian Philipp NischwitzDivision of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0002-6621-4891
Hanna LuzeDivision of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0001-9106-0831
Judith C J Holzer-GeisslerDivision of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0002-2244-2817
Robert ZrimDivision of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, 8036 Graz, Austria.
Lars-Peter KamolzDivision of Plastic, Aesthetic and Reconstructive Surgery, Department of Surgery, Medical University of Graz, 8036 Graz, Austria.
Medical University of Graz · ATInternational University of Monaco · MCJoanneum Research · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

BurnsCicatrix, HypertrophicAnimalsDisease Models, AnimalDogsGuinea PigsHumansMiceRabbitsRatsWound Healing3Ranimal modelhypertrophic scarmodelsystematic review

Identifiers

PMID35743999
PMCPMC9229864
OpenAlexW4281720469

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.