Evidence map›Paper›PMID 41497138›Full record

ArticleAnnals of medicine and surgery (2012)2026

Translating nanorobotic oncology: promise, progress, and persistent barriers.

Ursula Abu Nahla, Muhammad Suleman, Inshrah Khan, Muhammad Nabeel Saddique

Abstract readLetter
In one paragraph

Article in Annals of medicine and surgery (2012), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ursula Abu NahlaFaculty of Medicine, Hebron University, Hebron, Palestine.ORCID https://orcid.org/0009-0001-2356-0751
Muhammad SulemanDepartment of Radiotherapy and Medical Oncology, King Edward Medical University, Lahore, Pakistan.
Inshrah KhanDepartment of Radiotherapy and Medical Oncology, King Edward Medical University, Lahore, Pakistan.
Muhammad Nabeel SaddiqueDepartment of Radiotherapy and Medical Oncology, King Edward Medical University, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanorobotic technologies for cancer therapy have generated considerable excitement within the oncology community due to their potential for precision drug delivery, reduced systemic toxicity, and real-time therapeutic monitoring. DNA origami-based systems and magnetic navigation platforms demonstrate impressive preclinical capabilities, offering theoretical advantages over conventional chemotherapy through enhanced tumor targeting and reduced off-target effects. However, the pathway from bench to bedside faces substantial translational barriers that require systematic evaluation. The vast majority of current evidence remains confined to theoretical frameworks and preclinical studies, with limited clinical-grade validation and heterogeneous outcome measures across research efforts. Critical gaps include unclear regulatory pathways for complex nanorobotic systems, manufacturing scalability challenges, and incomplete safety assessment protocols for long-term biocompatibility. The absence of standardized reporting frameworks and robust comparative effectiveness research further compounds these limitations. Successful translation requires establishment of prospective patient registries, development of validated efficacy metrics, implementation of systematic reviews following established guidelines, and creation of comprehensive safety evaluation protocols. Only through rigorous, multidisciplinary collaboration between engineers, clinicians, biostatisticians, and outcomes researchers can nanorobotic oncology progress from promising preclinical results to clinically meaningful improvements in cancer patient care. The field must balance optimism with scientific rigor to fulfill its transformative potential.

Indexed as

cancer therapyclinical translationevidence-based medicinehealth technology assessmentnanorobotics

Identifiers

PMID41497138
PMCPMC12768110

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.