Evidence map›Paper›PMID 36839822›Full record

ReviewPharmaceutics2023

Cancer Treatment Using Different Shapes of Gold-Based Nanomaterials in Combination with Conventional Physical Techniques.

Simona Tarantino, Anna Paola Caricato, Rosaria Rinaldi, Caterina Capomolla, Valeria De Matteis

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Shape-Driven Response of Gold Nanoparticles to X-rays.Nanomaterials (Basel, Switzerland) · 2023
    Article
  9. 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

5 authors.

Simona TarantinoDepartment of Mathematics and Physics "E. De Giorgi", University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-1240-6545
Anna Paola CaricatoDepartment of Mathematics and Physics "E. De Giorgi", University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-3512-1665
Rosaria RinaldiDepartment of Mathematics and Physics "E. De Giorgi", University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-2798-9341
Caterina Capomolla"Vito Fazzi" Hospital of Lecce, Oncological Center, Piazza Filippo Muratore 1, 73100 Lecce, Italy.
Valeria De MatteisDepartment of Mathematics and Physics "E. De Giorgi", University of Salento, Via Monteroni, 73100 Lecce, Italy.ORCID 0000-0003-2204-8817

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The conventional methods of cancer treatment and diagnosis, such as radiotherapy, chemotherapy, and computed tomography, have developed a great deal. However, the effectiveness of such methods is limited to the possible failure or collateral effects on the patients. In recent years, nanoscale materials have been studied in the field of medical physics to develop increasingly efficient methods to treat diseases. Gold nanoparticles (AuNPs), thanks to their unique physicochemical and optical properties, were introduced to medicine to promote highly effective treatments. Several studies have confirmed the advantages of AuNPs such as their biocompatibility and the possibility to tune their shapes and sizes or modify their surfaces using different chemical compounds. In this review, the main properties of AuNPs are analyzed, with particular focus on star-shaped AuNPs. In addition, the main methods of tumor treatment and diagnosis involving AuNPs are reviewed.

Indexed as

cancerdiagnosticsgold nanoparticlesmedical physicsnanomedicinenanostarstherapy

Identifiers

PMID36839822
PMCPMC9968101

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Registered trials

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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.