Evidence map›Paper›PMID 23933617›Full record

ReviewAdvanced drug delivery reviews2013

Carbon nanotubes in hyperthermia therapy.

Ravi Singh, Suzy V Torti

Abstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2013. 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
9.0field-weighted citation impact, top 2% of its field
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, 219 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. MXene-Carbon Nanotube Composites: Properties and Applications.Nanomaterials (Basel, Switzerland) · 2023
    Review
  10. Article
  11. Review
  12. Nanoparticle Systems for Cancer Phototherapy: An Overview.Nanomaterials (Basel, Switzerland) · 2021
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Carbon Nanotubes: Smart Drug/Gene Delivery Carriers.International journal of nanomedicine · 2021
    Review
  18. Review
  19. Review
  20. 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

2 authors at 2 institutions in 1 country.

Ravi SinghDepartment of Cancer Biology, Wake Forest School of Medicine, Winston Salem, NC 27157, USA.
Suzy V Torti
UConn Health · USWake Forest University · US

Funding

Nanotubes in tumor imaging and therapyR01CA128428 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI TORTI, SUZY V · 2008 to 2011
$1.5M
Tumor Targeting and Diagnostic Applications of Glycosylated NanotubesR00CA154006 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SINGH, RAVI N · 2012 to 2014
$697k
NCI NIH HHS R00 CA154006NCI NIH HHS R00CA154006NCI NIH HHS R01CA12842NCI NIH HHS R01 CA128428
6 · The paper itself

Abstract

Thermal tumor ablation therapies are being developed with a variety of nanomaterials, including single- and multiwalled carbon nanotubes. Carbon nanotubes (CNTs) have attracted interest due to their potential for simultaneous imaging and therapy. In this review, we highlight in vivo applications of carbon nanotube-mediated thermal therapy (CNMTT) and examine the rationale for use of this treatment in recurrent tumors or those resistant to conventional cancer therapies. Additionally, we discuss strategies to localize and enhance the cancer selectivity of this treatment and briefly examine issues relating the toxicity and long term fate of CNTs.

Indexed as

AnimalsHumansHyperthermia, InducedNanotubes, CarbonNeoplasm Recurrence, LocalNeoplasmsTime FactorsNanotubes, CarbonCancer therapyCarbon nanotubesMultiwalled nanotubesPhotothermal therapySingle-walled nanotubes

Identifiers

PMID23933617
PMCPMC3914717
OpenAlexW2084403720

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.