Evidence map›Paper›PMID 19758574›Full record

ReviewAdvanced drug delivery reviews2009

Micro- and nanotechnologies for intelligent and responsive biomaterial-based medical systems.

Mary Caldorera-Moore, Nicholas A Peppas

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Static and Dynamic Biomaterial Engineering for Cell Modulation.Nanomaterials (Basel, Switzerland) · 2022
    Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Review
  18. Micro and nanoscale technologies in oral drug delivery.Advanced drug delivery reviews · 2020
    Review
  19. Review
  20. Marine drugs · 2018
    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.

Mary Caldorera-MooreDepartment of Biomedical Engineering, University of Texas at Austin, Austin, TX 78712-0238, USA.
Nicholas A Peppas

Funding

pH Sensitive Complex Hydrogels for Protein Drug ReleaseR01EB000246 · NIBIB · UNIVERSITY OF TEXAS AUSTIN · PI LOWMAN, ANTHONY M, PEPPAS, NICHOLAS A · 2002 to 2014
$3.8M
NIBIB NIH HHS EB-000246NIBIB NIH HHS R01 EB000246
6 · The paper itself

Abstract

Advances in medical treatments of a wide variety of pathophysiological conditions require the development of better therapeutic agents, as well as a combination of the required therapeutic agents with device-integrated biomaterials that can serve as sensors and carriers. Combination of micro- and nano-fabricated systems with intelligent biomaterials that have the ability to sense and respond is a promising avenue for the development of better diagnostic and therapeutic medical systems. Micro- and nano-electromechanical systems (MEMs and NEMs) are now becoming a family of potentially powerful new technologies for drug delivery, diagnostic tools, and tissue engineering. Improvements in micro- and nano-fabrication technologies have enhanced the ability to create better performing therapeutic systems for numerous pathophysiological applications. More importantly, MEMS- and NEMS-based tissue regeneration scaffolds, biosensors, and drug delivery devices provide new opportunities to mimic the natural intelligence and response of biological systems.

Indexed as

Biocompatible MaterialsDrug Delivery SystemsHumansModels, ChemicalNanotechnologyTechnology, PharmaceuticalTissue EngineeringBiocompatible Materials

Identifiers

PMID19758574
PMCPMC2788786

What OpenQuestion holds

Textmetadata
LicenceTDM
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.