Evidence map›Paper›PMID 30023884›Full record

ArticleACS omega2018

Functionalized Hydrophilic Superparamagnetic Iron Oxide Nanoparticles for Magnetic Fluid Hyperthermia Application in Liver Cancer Treatment.

Ganeshlenin Kandasamy, Atul Sudame, Tania Luthra, Kalawati Saini, Dipak Maity

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
8.5field-weighted citation impact, top 1% 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

49 citing papers in PubMed, 162 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Ganeshlenin KandasamyDepartment of Mechanical Engineering and Department of Chemistry, Shiv Nadar University, Dadri 201314, Uttar Pradesh, India.
Atul SudameDepartment of Mechanical Engineering and Department of Chemistry, Shiv Nadar University, Dadri 201314, Uttar Pradesh, India.
Tania LuthraDepartment of Mechanical Engineering and Department of Chemistry, Shiv Nadar University, Dadri 201314, Uttar Pradesh, India.
Kalawati SainiDepartment of Chemistry, Miranda House, Delhi University, New Delhi 110007, India.
Dipak MaityDepartment of Mechanical Engineering and Department of Chemistry, Shiv Nadar University, Dadri 201314, Uttar Pradesh, India.
Shiv Nadar University · INUniversity of Delhi · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we report the synthesis of hydrophilic and surface-functionalized superparamagnetic iron oxide nanoparticles (SPIOs) to utilize them as nanomedicines for treating liver cancer via magnetic fluid hyperthermia (MFH)-based thermotherapy. For this purpose, initially, we have synthesized the SPIOs through co-precipitation/thermolysis methods, followed by in situ surface functionalization with short-chained molecules, such as 1,4-diaminobenzene (14DAB), 4-aminobenzoic acid (4ABA) and 3,4-diaminobenzoic acid (34DABA) and their combination with terephthalic acid (TA)/2-aminoterephthalic acid (ATA)/trimesic acid (TMA)/pyromellitic acid (PMA) molecules. The as-prepared SPIOs are investigated for their structure, morphology, water dispersibility, and magnetic properties. The heating efficacies of the SPIOs are studied in calorimetric MFH (C-MFH) with respect to their concentrations, surface coatings, dispersion medium, and applied alternating magnetic fields (AMFs). Although all of the as-prepared SPIOs have exhibited superparamagnetic behavior, only 14DAB-, 4ABA-, 34DABA-, and 4ABA-TA-coated SPIOs have shown higher magnetization values (

Identifiers

PMID30023884
PMCPMC6044893
OpenAlexW2797663696

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.