Evidence map›Paper›PMID 42829857›Full record

ReviewAnnals of medicine2026

Dual-targeted nanotechnology for gynaecological cancers: a comprehensive review of mechanisms and clinical potential.

Xinyun Tu, Youni Zhang, Li Wang, Yiyi Shan, Lihong Xie, Huafeng Shou, Yan Liang

Abstract readReview
In one paragraph

Review in Annals of medicine, 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

7 authors.

Xinyun TuAksu First People's Hospital, Aksu, China.
Youni ZhangDepartment of Laboratory Medicine, Tiantai People' s Hospital, Taizhou, China.
Li WangCenter for Reproductive Medicine, Department of Gynecology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China.
Yiyi ShanCenter for Reproductive Medicine, Department of Gynecology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China.
Lihong XieAksu First People's Hospital, Aksu, China.
Huafeng ShouCenter for Reproductive Medicine, Department of Gynecology, Zhejiang Provincial People's Hospital (Affiliated People's Hospital, Hangzhou Medical College), Hangzhou, China.
Yan LiangAksu First People's Hospital, Aksu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOvarian, cervical and endometrial cancers have been the leading cause of morbidity and mortality in women, often resulting from late diagnosis, resistance to therapies and off-target toxicity of conventional therapies. DISCUSSION: The review discusses recent progress in the development of dual-targeted nanocarrier systems in gynaecologic oncology, relying on peer-reviewed publications in scientific databases published within the past decade. Applications of these systems are also discussed in terms of the potential to improve the selectivity and therapeutic efficiency of tumour therapy. Major available evidence is based on preclinical

conclusionThis review describes the prevailing situation and constraints of dual-targeted nanotechnology, focusing on possible applications in the development of more accurate and individualized therapies for gynaecologic cancers.

Indexed as

Antineoplastic AgentsDrug Delivery SystemsGenital Neoplasms, FemaleNanotechnologyAnimalsFemaleHumansNanoparticlesAntineoplastic Agentsclinical applications of nanotechnologyDual-targeted nanotechnologygynaecological cancer treatmentnanoparticle-based therapytargeted drug delivery systems

Identifiers

PMID42829857
PMCPMC13644424

What OpenQuestion holds

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Registered trials

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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.