Evidence map›Paper›PMID 39339248›Full record

ArticlePharmaceutics2024

Real-World Evidence of 3D Printing of Personalised Paediatric Medicines and Evaluating Its Potential in Children with Cancer: A Scoping Review.

Munsur Ahmed, Stephen Tomlin, Catherine Tuleu, Sara Garfield

Abstract readScoping Review
In one paragraph

Article in Pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

4 authors.

Munsur AhmedPharmacy Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London WC1N 3JH, UK.ORCID 0000-0001-6915-4022
Stephen TomlinChildren's Medicine Research & Innovation Centre, Great Ormond Street Hospital for Children NHS Foundation Trust, London WC1N 3JH, UK.ORCID 0000-0003-0518-1077
Catherine TuleuSchool of Pharmacy, University College London, London WC1N 1AX, UK.ORCID 0000-0001-8384-357X
Sara GarfieldSchool of Pharmacy, University College London, London WC1N 1AX, UK.ORCID 0000-0002-9980-0520

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalised medicine, facilitated by advancements like 3D printing, may offer promise in oncology. This scoping review aims to explore the applicability of 3D printing for personalised pharmaceutical dosage forms in paediatric cancer care, focusing on treatment outcomes and patient experiences. Following the Joanna Briggs Institute (JBI) methodology, a comprehensive search strategy was implemented to identify the relevant literature across databases including PubMed, Embase, and Web of Science. Three independent reviewers conducted study selection and data extraction, focusing on studies involving paediatric patients under 18 years old and pharmaceutical dosage forms manufactured using 3D printing technology. From 2752 records screened, only six studies met the inclusion criteria, none of which specifically targeted paediatric cancer patients. These studies examined aspects of acceptability, including swallowability, taste, and feasibility of 3D-printed formulations for children. While the studies demonstrated the potential benefits of 3D printing in paediatric medication, particularly in personalised dosing, there is a notable lack of evidence addressing its acceptability in paediatric cancer patients. Further interdisciplinary collaborative research is needed in this area to fully assess preferences and acceptability among children with cancer and their parents or caregivers.

Indexed as

3D printingmedication acceptabilitypaediatric oncologypersonalised medicinescoping review

Identifiers

PMID39339248
PMCPMC11434924

What Socratic 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 Socratic graph.