Evidence map›Paper›PMID 41907378›Full record

ReviewInternational journal of nanomedicine2026

Developments & Potential of Nanotechnology for the Detection and Treatment of Pancreatic Cancer.

Danielle O'Meara, Clare Hoskins

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2026. 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

2 authors.

Danielle O'MearaDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow, UK.
Clare HoskinsDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow, UK.ORCID 0000-0002-7200-0566

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is projected to become the second leading cause of cancer death by 2030 with a dismal 5-year survival rate compared to other cancers (12%). Due to the absence of clear early symptoms, diagnosis is often delayed resulting in many patients presenting with advanced disease and limited treatment options. Surgery remains the only potential curative option. However, only about 20% of cases are detected early enough for surgery. Consequently, most patients rely on chemotherapy, immunotherapy and radiotherapy. Among these, chemotherapy offers the best chance of tumor shrinkage, it comes with many problems such as harsh side effects which kill healthy cells and cancer cells, leaving the patient sometimes too ill to continue treatment. With immuno- and radiotherapy, it offers limited success in the treatment of pancreatic cancer despite its success in treating other forms of cancer. Nanotechnology offers promising opportunities for more effective diagnosis and less aggressive treatment. Fortunately, there has been some success for pancreatic cancer with two nano formulations currently approved by the Food and Drug Agency (Onivyde and Abraxane) offering greater survival rates and reduced side effects compared to traditional chemotherapy. Unfortunately, progress in nanotechnology-based diagnostics for pancreatic cancer remains limited. However, numerous different types of nanoparticles are under investigation in preclinical and clinical studies showing positive results. This review gives an overview of the potential of nanotechnology within this area looking at harnessing its potential in more effective diagnosis strategies and for more efficient therapy.

Indexed as

NanomedicineNanotechnologyPancreatic NeoplasmsAnimalsAntineoplastic AgentsHumansNanoparticlesAntineoplastic Agentscancer nanomedicinediagnosticsdrug deliverynanotechnologypancreatic cancertheranostics

Identifiers

PMID41907378
PMCPMC13022918

What OpenQuestion holds

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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.