Evidence map›Paper›PMID 41340682›Full record

ReviewKardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery2025

Artificial intelligence nanoparticle-based drug delivery systems and targeted delivery of therapeutics for the treatment of cardiovascular diseases: a systematic review.

Fatemeh Kamali, Seyedehmahrokh Moosavimordghafari, Mohammad Ghasemian, Narges Kamali, Seyedeh Mahta Mojab, Fatemeh Nikfard, Zahra Nikfard, Saber Bakhtiaryfar

Abstract readReview
In one paragraph

Review in Kardiochirurgia i torakochirurgia polska = Polish journal of cardio-thoracic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Fatemeh KamaliPharmacy student, School of Pharmacy, Zhengzhou University, Zhengzhou, Henan, China.
Seyedehmahrokh MoosavimordghafariPharmacy student, School of Pharmacy, Zhengzhou University, Zhengzhou, Henan, China.
Mohammad GhasemianPharmacy student, School of Pharmacy, Zhengzhou University, Zhengzhou, Henan, China.
Narges KamaliPharmacy student, School of Pharmacy, Zhengzhou University, Zhengzhou, Henan, China.
Seyedeh Mahta MojabMedical student, School of Medicine, Jilin University, Jilin, China.
Fatemeh NikfardPharmacy student, School of Pharmacy, Zhengzhou University, Zhengzhou, Henan, China.
Zahra NikfardPharmacy student, School of Pharmacy, Zhengzhou University, Zhengzhou, Henan, China.
Saber BakhtiaryfarMedical student, School of Medicine, Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article reviews the progress of nanoparticles as drug carriers in the treatment of cardiovascular diseases, and how nanoparticles can deliver anti-inflammatory, anti-proliferative, and anticoagulant drugs directly to the surgical site in surgical procedures. For this, 45 articles published between 2005 and 2024 with keywords including "Artificial intelligence Nanoparticle", "Emergency Medicine Unit", and "Therapeutic for the treatment of cardiovascular diseases" in Scopus, Elsevier, Web of Science and ScienceDirect were reviewed. Nanoparticle-based drug delivery systems have demonstrated several noteworthy therapeutic benefits in the treatment of cardiovascular disorders since they were first used in the cancer field to deliver safer and more effective chemotherapeutics. By delivering targeted and site-specific medications with controlled release, nanoparticle-based drug delivery systems modify the biodistribution of therapeutic agents. An optimal material for cardiovascular therapeutics would be a nanoparticle based on metal, lipid, or polymer.

Indexed as

artificial intelligencedrug delivery systemsnanoparticletherapeutic

Identifiers

PMID41340682
PMCPMC12670229

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.