Evidence map›Paper›PMID 40415301›Full record

ReviewCurrent pharmaceutical design2025

Trends in 4D Printed Shape Memory Biomaterials for Tissue Engineering Applications.

Deepak Kumar, Rishabha Malviya, Sathvik Belagodu Sridhar, Tarun Wadhwa, Sirajunisa Talath, Javedh Shareef

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pharmaceutical design, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

6 authors.

Deepak KumarDepartment of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, U.P., India.
Rishabha MalviyaDepartment of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, U.P., India.ORCID 0000-0003-2874-6149
Sathvik Belagodu SridharRas Al Khaimah College of Pharmacy, Ras Al Khaimah Medical & Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Tarun WadhwaRas Al Khaimah College of Pharmacy, Ras Al Khaimah Medical & Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Sirajunisa TalathRas Al Khaimah College of Pharmacy, Ras Al Khaimah Medical & Health Sciences University, Ras Al Khaimah, United Arab Emirates.
Javedh ShareefRas Al Khaimah College of Pharmacy, Ras Al Khaimah Medical & Health Sciences University, Ras Al Khaimah, United Arab Emirates.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shape memory polymers and stimuli-sensitive materials are utilised in 4D printing to develop tissue structures that are dynamic and flexible. The capability of these polymers to react to numerous stimuli like pH, light, and temperature increases the adaptability and usefulness of tissue engineering applications. The article aims at the application of smart SMPs in 4D printing for tissue engineering, emphasising their response to diverse physical and chemical stimuli. The current review article compiled data from previously reported studies by searching in commonly used electronic databases such as Scopus, Google Scholar, PubMed, Science Direct, etc. The authors have preferably considered the data from the last 10 years for inclusion. The study addresses developments in smart shape memory polymers and their transformational influence on biological applications. The integrated approach of 4D printing and shape memory biomaterials can potentially improve tissue engineering applications. Researchers can enhance tissue regeneration by utilising the responsive properties of these materials to physiological signals. This allows for the design of dynamic scaffolds that closely imitate the behaviour of real tissue, resulting in more efficient tissue regeneration. 4D-printed shape memory biomaterials have the potential to enhance tissue engineering via the use of dynamic and adaptable scaffolds. However, some obstacles must be overcome, such as material limitations and the capacity to scale up production, to achieve successful clinical implementation.

Indexed as

Biocompatible MaterialsPrinting, Three-DimensionalSmart MaterialsTissue EngineeringAnimalsHumansPolymersTissue ScaffoldsBiocompatible MaterialsPolymersSmart Materials4D printingclinical application.fabrication techniquesregenerative medicineshape memory biomaterialssmart materialstissue engineering

Identifiers

PMID40415301

What OpenQuestion holds

Textmetadata
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.