Evidence map›Paper›PMID 39888579›Full record

ReviewDrug delivery and translational research2025

Innovative landscapes in intraperitoneal therapy of ovarian cancer.

Krishna Pradeep Kumar, Maneesha Madhusoodanan, Meghna Pangath, Deepthy Menon

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drug delivery and translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
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

4 authors.

Krishna Pradeep KumarAmrita School of Nanosciences & Molecular Medicine, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India.
Maneesha MadhusoodananAmrita School of Nanosciences & Molecular Medicine, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India.
Meghna PangathAmrita School of Nanosciences & Molecular Medicine, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India.
Deepthy MenonAmrita School of Nanosciences & Molecular Medicine, Amrita Vishwa Vidyapeetham, Kochi, Kerala, India. deepthymenon@aims.amrita.edu.ORCID 0000-0003-2772-2276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelial ovarian cancer is the most prevalent gynecological malignancy, characterized by high mortality rates due to its late-stage diagnosis and frequent recurrence. The current standard of care for ovarian cancer is a combination of debulking surgery followed by the conventional mode of chemotherapy. Despite significant advances in therapeutic modalities, the overall survival rate of EOC continues to be poor, mainly because low concentrations of the chemotherapeutics reach the peritoneum, which is the primary site of ovarian cancer, leading to disease relapse. Here, intraperitoneal chemotherapy gains advantage due to its ability to deliver the drug molecules directly to the peritoneal cavity and provide localized and sustained effects. This is facilitated by the use of diverse kinds of nano or micron sized delivery systems, which help in transporting drugs, vaccines, antibodies and genes appropriately to the peritoneum for its desired function. This review article delves on how intraperitoneal delivery impacts the therapy of epithelial ovarian cancer spanning the conventional therapeutic modes to the recent nanoinnovations in chemotherapy, immunotherapy and gene therapy.

Indexed as

Antineoplastic AgentsCarcinoma, Ovarian EpithelialDrug Delivery SystemsOvarian NeoplasmsAnimalsFemaleGenetic TherapyHumansImmunotherapyAntineoplastic AgentsEpithelial ovarian cancerHydrogelsImmunotherapyImplantsIntraperitoneal drug deliveryMetronomic chemotherapyNanoparticles

Identifiers

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.