Evidence map›Paper›PMID 39676980›Full record

ArticleACS omega2024

Supercritical CO

Eren Ozudogru, Tugce Kurt, Burak Derkus, Ugur Cengiz, Yavuz Emre Arslan

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. NovoMemHistology and histopathology · 2026
    Article
  3. Article
  4. Review
  5. 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

5 authors.

Eren OzudogruRegenerative Biomaterials Laboratory, Department of Bioengineering, Faculty of Engineering, Canakkale Onsekiz Mart University, Canakkale 17100, Turkey.ORCID https://orcid.org/0000-0002-6442-7842
Tugce KurtRegenerative Biomaterials Laboratory, Department of Bioengineering, Faculty of Engineering, Canakkale Onsekiz Mart University, Canakkale 17100, Turkey.ORCID https://orcid.org/0000-0002-9471-9918
Burak DerkusStem Cell Research Laboratory, Department of Chemistry, Faculty of Science, Ankara University, Ankara 06560, Turkey.ORCID https://orcid.org/0000-0001-5558-0995
Ugur CengizSurface Science Research Laboratory, Department of Chemical Engineering, Faculty of Engineering, Canakkale Onsekiz Mart University, Canakkale 17020, Turkey.ORCID https://orcid.org/0000-0002-0400-3351
Yavuz Emre ArslanRegenerative Biomaterials Laboratory, Department of Bioengineering, Faculty of Engineering, Canakkale Onsekiz Mart University, Canakkale 17100, Turkey.ORCID https://orcid.org/0000-0003-3445-1814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extracellular matrix (ECM) of spinal meninge tissue closely resembles the wealthy ECM content of the brain and spinal cord. The ECM is typically acquired through the process of decellularizing tissues. Nevertheless, the decellularization process of the brain and spinal cord is challenging due to their high-fat content, in contrast to the spinal meninges. Hence, bovine spinal cord meninges offer a promising source to produce ECM-based scaffolds, thanks to their abundance, accessibility, and ease of decellularization for neural tissue engineering. However, most decellularization techniques involve disruptive chemicals and repetitive rinsing processes, which could lead to drastic modifications in the tissue ultrastructure and a loss of mechanical stability. Over the past decade, supercritical fluid technology has experienced considerable advancements in fabricating biomaterials with its applications spreading out to tissue engineering to tackle the complications mentioned above. Supercritical carbon-dioxide (scCO

Identifiers

PMID39676980
PMCPMC11635505

What OpenQuestion holds

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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.