Evidence map›Paper›PMID 20161004›Full record

ArticleNano today2009

Multifunctional Quantum Dots for Personalized Medicine.

Pavel Zrazhevskiy, Xiaohu Gao

Abstract read
In one paragraph

Article in Nano today, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Sinusoidal communication in chronic liver disease.Clinical and molecular hepatology · 2025
    Review
  8. Review
  9. Review
  10. Review
  11. Applications of Quantum Dots in Preventive Oncology.Asian Pacific journal of cancer prevention : APJCP · 2024
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  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.

Pavel ZrazhevskiyDepartment of Bioengineering, University of Washington, 1705 NE Pacific Street, Seattle, WA, 98195, USA.
Xiaohu Gao

Funding

Sensitive and multiplexed analysis of cancer biomarkers with QD barcodesR01CA131797 · NCI · UNIVERSITY OF WASHINGTON · PI GAO, XIAOHU · 2008 to 2012
$1.6M
NCI NIH HHS R01 CA131797
6 · The paper itself

Abstract

Successes in biomedical research and state-of-the-art medicine have undoubtedly improved the quality of life. However, a number of diseases, such as cancer, immunodeficiencies, and neurological disorders, still evade conventional diagnostic and therapeutic approaches. A transformation towards personalized medicine may help to combat these diseases. For this, identification of disease molecular fingerprints and their association with prognosis and targeted therapy must become available. Quantum dots (QDs), semiconductor nanocrystals with unique photo-physical properties, represent a novel class of fluorescence probes to address many of the needs of personalized medicine. This review outlines the properties of QDs that make them a suitable platform for advancing personalized medicine, examines several proof-of-concept studies showing utility of QDs for clinically relevant applications, and discusses current challenges in introducing QDs into clinical practice.

Identifiers

PMID20161004
PMCPMC2757762

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.