Evidence map›Paper›PMID 38201731›Full record

ArticlePolymers2023

Poly-ε-Caprolactone 3D-Printed Porous Scaffold in a Femoral Condyle Defect Model Induces Early Osteo-Regeneration.

Arianna De Mori, Aikaterina Karali, Evangelos Daskalakis, Richard Hing, Paulo Jorge Da Silva Bartolo, Glen Cooper, Gordon Blunn

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
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

7 authors at 2 institutions in 1 country.

Arianna De MoriSchool of Pharmacy and Biomedical Sciences, University of Portsmouth, St. Michael's Building, White Swan Road, Portsmouth PO1 2DT, UK.
Aikaterina KaraliZeiss Global Centre, School of Mechanical and Design Engineering, University of Portsmouth, Portsmouth PO1 3DJ, UK.
Evangelos DaskalakisSchool of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0003-3855-5442
Richard HingSchool of Earth and Environmental Sciences, University of Portsmouth, Portsmouth PO1 2HB, UK.
Paulo Jorge Da Silva BartoloSchool of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0003-3683-726X
Glen CooperSchool of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester M13 9PL, UK.ORCID 0000-0002-9568-8973
Gordon BlunnSchool of Pharmacy and Biomedical Sciences, University of Portsmouth, St. Michael's Building, White Swan Road, Portsmouth PO1 2DT, UK.ORCID 0000-0003-2141-7385
University of Portsmouth · GBUniversity of Manchester · GB

Funding

Engineering and Physical Sciences Research Council EP/R015139/1
6 · The paper itself

Abstract

Large bone reconstruction following trauma poses significant challenges for reconstructive surgeons, leading to a healthcare burden for health systems, long-term pain for patients, and complex disorders such as infections that are difficult to resolve. The use of bone substitutes is suboptimal for substantial bone loss, as they induce localized atrophy and are generally weak, and unable to support load. A combination of strong polycaprolactone (PCL)-based scaffolds, with an average channel size of 330 µm, enriched with 20%

Indexed as

beta-tricalcium phosphateBioglassbone tissue engineeringhydroxyapatitein vivopolycaprolactonethree-dimensional printing

Identifiers

PMID38201731
PMCPMC10780383
OpenAlexW4390175269

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.