Evidence map›Paper›PMID 37111694›Full record

ArticlePharmaceutics2023

Mixed Edge Activators in Ibuprofen-Loaded Transfersomes: An Innovative Optimization Strategy Using Box-Behnken Factorial Design.

João Vieira, Jéssica Castelo, Marta Martins, Nuno Saraiva, Catarina Rosado, Catarina Pereira-Leite

Abstract read
In one paragraph

Article in Pharmaceutics, 2023. 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. Design-ExpertPharmaceutics · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. 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

6 authors.

João VieiraCBIOS-Universidade Lusófona's Research Center for Biosciences & Health Technologies, Campo Grande 376, 1749-024 Lisboa, Portugal.ORCID 0000-0002-8718-2083
Jéssica CasteloSchool of Health Sciences and Technologies, Universidade Lusófona, Campo Grande 376, 1749-024 Lisboa, Portugal.
Marta MartinsCBIOS-Universidade Lusófona's Research Center for Biosciences & Health Technologies, Campo Grande 376, 1749-024 Lisboa, Portugal.
Nuno SaraivaCBIOS-Universidade Lusófona's Research Center for Biosciences & Health Technologies, Campo Grande 376, 1749-024 Lisboa, Portugal.ORCID 0000-0003-1333-9137
Catarina RosadoCBIOS-Universidade Lusófona's Research Center for Biosciences & Health Technologies, Campo Grande 376, 1749-024 Lisboa, Portugal.ORCID 0000-0002-6429-6213
Catarina Pereira-LeiteCBIOS-Universidade Lusófona's Research Center for Biosciences & Health Technologies, Campo Grande 376, 1749-024 Lisboa, Portugal.ORCID 0000-0001-5407-3983

Funding

Fundação para a Ciência e Tecnologia EXPL/BTM-MAT/0112/2021Fundação para a Ciência e Tecnologia UI/BD/151424/2021Fundação para a Ciência e Tecnologia UIDB/04567/2020Fundação para a Ciência e Tecnologia UIDP/04567/2020
6 · The paper itself

Abstract

Transfersomes have been highlighted as an interesting nanotechnology-based approach to facilitate the skin delivery of bioactive compounds. Nevertheless, the properties of these nanosystems still need to be improved to enable knowledge transfer to the pharmaceutical industry and the development of more efficacious topical medicines. Quality-by-design strategies, such as Box-Behnken factorial design (BBD), are in line with the current need to use sustainable processes to develop new formulations. Thus, this work aimed at optimizing the physicochemical properties of transfersomes for cutaneous applications, by applying a BBD strategy to incorporate mixed edge activators with opposing hydrophilic-lipophilic balance (HLB). Tween

Indexed as

Box–Behnken factorial designibuprofennanovesicular systemsnonionic surfactantsskin deliverytransfersomes

Identifiers

PMID37111694
PMCPMC10143365

What OpenQuestion holds

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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.