Evidence map›Paper›PMID 26816625›Full record

ReviewRegenerative biomaterials2014

Multi-responsive hydrogels for drug delivery and tissue engineering applications.

Jennifer M Knipe, Nicholas A Peppas

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Regenerative biomaterials, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Drug Delivery Technologies for the Treatment of Age-Related Macular Degeneration.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Tissue Engineering for Penile Reconstruction.Bioengineering (Basel, Switzerland) · 2024
    Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  20. 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

2 authors.

Jennifer M KnipeDepartment of Chemical Engineering, C0400, The University of Texas at Austin, Austin, TX 78712, USA, Department of Biomedical Engineering, C0800, The University of Texas at Austin, Austin, TX 78712, USA, College of Pharmacy, C0400, The University of Texas at Austin, Austin, TX 78712, USA.
Nicholas A PeppasDepartment of Chemical Engineering, C0400, The University of Texas at Austin, Austin, TX 78712, USA, Department of Biomedical Engineering, C0800, The University of Texas at Austin, Austin, TX 78712, USA, College of Pharmacy, C0400, The University of Texas at Austin, Austin, TX 78712, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multi-responsive hydrogels, or 'intelligent' hydrogels that respond to more than one environmental stimulus, have demonstrated great utility as a regenerative biomaterial in recent years. They are structured biocompatible materials that provide specific and distinct responses to varied physiological or externally applied stimuli. As evidenced by a burgeoning number of investigators, multi-responsive hydrogels are endowed with tunable, controllable and even biomimetic behavior well-suited for drug delivery and tissue engineering or regenerative growth applications. This article encompasses recent developments and challenges regarding supramolecular, layer-by-layer assembled and covalently cross-linked multi-responsive hydrogel networks and their application to drug delivery and tissue engineering.

Indexed as

drug deliveryhydrogelsintelligent polymersregenerative medicine

Identifiers

PMID26816625
PMCPMC4669007

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.