Evidence map›Paper›PMID 42133268›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

A Bioinspired Three-Dimensional High-Curvature Nano-Interface Integrated Microfluidic Chip for Small Extracellular Vesicles Enrichment and Machine Learning-Assisted Prostate Cancer Precision Diagnosis.

Le Wang, Yizhong Liang, Manan Sulaiman, Jiaqi Du, Ming Jiang, Zhihua Wang, Xu Yu, Li Xu

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

8 authors.

Le WangDepartment of Pharmacy, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yizhong LiangTongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan, China.
Manan SulaimanDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Jiaqi DuTongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan, China.
Ming JiangTongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan, China.
Zhihua WangDepartment of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xu YuTongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan, China.
Li XuTongji School of Pharmacy, Huazhong University of Science and Technology, Wuhan, China.ORCID https://orcid.org/0000-0001-6875-9396

Funding

Hubei Provincial Natural Science Foundation Innovation and Development Joint Fund 2024AFD420Hubei Provincial Natural Science Foundation Innovation and Development Joint Fund 2025AFD347Key Project of Hubei Provincial Health Commission WJ2025Z014National Natural Science Foundation of China 22174049National Natural Science Foundation of China 22574059National Natural Science Foundation of China 82173068National Natural Science Foundation of China 82373333National Natural Science Foundation of China 82573288Program for HUST Academic Frontier Youth Team 2019QYTD09
6 · The paper itself

Abstract

The efficient and unbiased isolation of small extracellular vesicles (sEVs) from complex biological fluids remains a major obstacle for clinical diagnostics. Here, we report a bioinspired microfluidic chip that integrates a three-dimensional high-curvature TiO

Indexed as

Extracellular VesiclesLab-On-A-Chip DevicesMachine LearningMicrofluidicsProstatic NeoplasmsHumansMaleProteomicsTitaniumTitaniumtitanium dioxideaffinity interactionmachine learningprostate cancer diagnosissize recognitionsmall extracellular vesicles

Identifiers

PMID42133268
PMCPMC13335776

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.