Evidence map›Paper›PMID 42222822›Full record

ReviewACS omega2026

3D-Printed Composite Scaffolds Containing SiO

Giovanna do Espirito Santo, Marcelo Assis, Homero Garcia-Motta, Karolyne Dos Santos Jorge Sousa, Amanda de Souza, Mariana Carvalho Simões, Flávia de Oliveira, Daniel Ribeiro, Ana Claudia Muniz Rennó

Abstract readReview
In one paragraph

Review in ACS omega, 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

9 authors.

Giovanna do Espirito SantoDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.ORCID https://orcid.org/0000-0002-6414-4332
Marcelo AssisDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.ORCID https://orcid.org/0000-0003-0355-5565
Homero Garcia-MottaDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.
Karolyne Dos Santos Jorge SousaDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.ORCID https://orcid.org/0000-0001-7780-3862
Amanda de SouzaDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.ORCID https://orcid.org/0000-0001-6353-0824
Mariana Carvalho SimõesDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.
Flávia de OliveiraDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.ORCID https://orcid.org/0000-0003-4408-1503
Daniel RibeiroDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.
Ana Claudia Muniz RennóDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Silva Jardim Street, 136, Santos, SP 11015020, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone fractures are a growing global burden due to population aging and increasing osteoporosis incidence, leading to impaired healing and a demand for advanced regenerative strategies. Three-dimensional (3D) printed scaffolds have emerged as promising biomaterial platforms owing to their ability to mimic native bone architecture and deliver bioactive cues. Among the bioactive components explored, silica (SiO

Identifiers

PMID42222822
PMCPMC13216993

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.