Evidence map›Paper›PMID 39118776›Full record

ReviewAnnals of medicine and surgery (2012)2024

Recent developments in cancer diagnosis and treatment using nanotechnology.

Olfa Ouled Ltaief, Ilham Ben Amor, Hadia Hemmami, Wiem Hamza, Soumeia Zeghoud, Asma Ben Amor, Mourad Benzina, Ali Alnazza Alhamad

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Annals of medicine and surgery (2012), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

8 authors.

Olfa Ouled LtaiefWater, Energy and Environment Laboratory, National School of Engineers of Sfax, University of Safx, Safx, Tunisia.
Ilham Ben AmorDepartment of Process Engineering and Petrochemical, Faculty of Technology.
Hadia HemmamiDepartment of Process Engineering and Petrochemical, Faculty of Technology.
Wiem HamzaWater, Energy and Environment Laboratory, National School of Engineers of Sfax, University of Safx, Safx, Tunisia.
Soumeia ZeghoudDepartment of Process Engineering and Petrochemical, Faculty of Technology.
Asma Ben AmorDepartment of Process Engineering and Petrochemical, Faculty of Technology.
Mourad BenzinaWater, Energy and Environment Laboratory, National School of Engineers of Sfax, University of Safx, Safx, Tunisia.
Ali Alnazza AlhamadDepartment of Chemistry, Faculty of Science, University of Aleppo, Aleppo, Syria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The article provides an insightful overview of the pivotal role of nanotechnology in revolutionizing cancer diagnosis and treatment. It discusses the critical importance of nanoparticles in enhancing the accuracy of cancer detection through improved imaging contrast agents and the synthesis of various nanomaterials designed for oncology applications. The review broadly classifies nanoparticles used in therapeutics, including metallic, magnetic, polymeric, and many other types, with an emphasis on their functions in drug delivery systems for targeted cancer therapy. It details targeting mechanisms, including passive and intentional targeting, to maximize treatment efficacy while minimizing side effects. Furthermore, the article addresses the clinical applications of nanomaterials in cancer treatment, highlights prospects, and addresses the challenges of integrating nanotechnology into cancer treatment.

Indexed as

nanomaterial synthesisnanotechnology in cancertargeted drug deliverytherapeutics

Identifiers

PMID39118776
PMCPMC11305775

What OpenQuestion holds

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LicenceCC BY
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.