Evidence map›Paper›PMID 33010128›Full record

ReviewIET nanobiotechnology2020

Surface-functionalised hybrid nanoparticles for targeted treatment of cancer.

Hasnat Tariq, Syed Ali Imran Bokhari

Open access · greenAbstract readReview
In one paragraph

Review in IET nanobiotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Nanoparticles Bounded to Interfering RNAs as a Therapy for Pancreatic Cancer: A Systematic Review.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    Pooled it
  2. Review
  3. Review
  4. 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.

Hasnat TariqDepartment of Biotechnology, Quaid-i-Azam University, Islamabad, Pakistan. hasnattariq97@gmail.com.
Syed Ali Imran BokhariDepartment of Biological Sciences, International Islamic University, Islamabad, Pakistan.
International Islamic University, Islamabad · PKQuaid-i-Azam University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a leading cause of death worldwide. Despite the great advancement in understanding the pharmacology and biology of cancer, it still signifies one of the most serious human-health related problems. The current treatments for cancer may include surgery, radiotherapy, and chemotherapy, but these procedures have several limitations. Current studies have shown that nanoparticles (NPs) can be used as a novel strategy for cancer treatment. Developing nanosystems that allow lower doses of therapeutic agents, as well as their selective release in tumour cells, may resolve the challenges of targeted cancer therapy. In this review, the authors discuss the role of the size, shape, and surface modifications of NPs in cancer treatment. They also address the challenges associated with cancer therapies based on NPs. The overall purpose of this review is to summarise the recent developments in designing different hybrid NPs with promising therapeutic properties for different types of cancer.

Indexed as

AnimalsAntineoplastic AgentsContrast MediaDisease Models, AnimalDrug Delivery SystemsHumansLigandsNanomedicineNanoparticlesNeoplasmsPhotochemotherapyPhotosensitizing AgentsSurface PropertiesTumor MicroenvironmentAntineoplastic AgentsContrast MediaLigandsPhotosensitizing Agents

Identifiers

PMID33010128
PMCPMC8676046
OpenAlexW3089428557

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.