Evidence map›Paper›PMID 24426227›Full record

ArticleIndian journal of clinical biochemistry : IJCB2013

Drug delivery of hydroxyurea to breast cancer using liposomes.

Seyed Ebrahim Alavi, Maedeh Koohi Moftakhari Esfahani, Fatemeh Alavi, Fatemeh Movahedi, Azim Akbarzadeh

Abstract read
In one paragraph

Article in Indian journal of clinical biochemistry : IJCB, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Hydroxyurea-loaded FeNaunyn-Schmiedeberg's archives of pharmacology · 2022
    Article
  8. Article
  9. Article
  10. In vivo Glioblastoma Therapy Using Targeted Liposomal Cisplatin.International journal of nanomedicine · 2020
    Article
  11. Article
  12. Article
  13. 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

5 authors.

Seyed Ebrahim AlaviDepartment of Chemical Engineering, Lamerd Branch, Islamic Azad University, Lamerd, Iran.
Maedeh Koohi Moftakhari EsfahaniDepartment of Chemical Engineering, Lamerd Branch, Islamic Azad University, Lamerd, Iran.
Fatemeh AlaviDepartment of Chemical Engineering, Lamerd Branch, Islamic Azad University, Lamerd, Iran.
Fatemeh MovahediDepartment of Chemical Engineering, Lamerd Branch, Islamic Azad University, Lamerd, Iran.
Azim AkbarzadehDepartment of Pilot Biotechnology, Pasteur Institute of Iran, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is clear that cancer is one of the most mortal diseases in the world and the most prevalent among women is breast cancer. As hydroxyurea (HU)-a drug which is used in chemotherapy-has many adverse effects in long-term despite of its therapeutic properties, we made use of nano drug delivery technology in order to reduce adverse effects and increase therapeutic index. Thus, liposomation is a novel way in drug delivery systems. In this study a mixture of phosphatidylcholine and cholesterol was mixed and HU was added to the resultant mixture. The mean diameter of the nanoliposomal HU measured with the Zeta Sizer device (equal to 402.5 nm) and its encapsulation efficiency was 70.8 %. Besides, using dialysis, the pattern of drug release from nanoliposomes has been studied and the results showed that the drug release of nanoliposomal drug within 28 h was equal to 25.85 %. This study showed that the cytotoxicity effect of nanoliposomal drug is more than that of the standard drug.

Indexed as

Breast cancerHydroxyureaLiposomalNano drug delivery

Identifiers

PMID24426227
PMCPMC3689336

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.