Evidence map›Paper›PMID 40810868›Full record

ArticleMikrochimica acta2025

Monitoring miR-29a for targeted therapy of cholangiocarcinoma based on a photoelectric sensor.

Weiyuan Hao, Cheng Chen, Fei Cao, Min Xu, Jiaping Zheng

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2025. 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

5 authors.

Weiyuan HaoDepartment of Interventional Radiology, Zhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
Cheng ChenDepartment of Medical Oncology, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
Fei CaoDepartment of Interventional Radiology, Zhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
Min XuDepartment of Interventional Radiology, Zhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China.
Jiaping ZhengDepartment of Interventional Radiology, Zhejiang Key Laboratory of Imaging and Interventional Medicine, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, Zhejiang, China. zhengjp@zjcc.org.cn.

Funding

the fund of Zhejiang Province Medical and Health Science and Technology Plan Project 2022KY630
6 · The paper itself

Abstract

This study presents an integrated approach combining photoelectrochemical (PEC) biosensing, density functional theory (DFT), and machine learning (ML) to address diagnostic and mechanistic challenges in cholangiocarcinoma (CCA). A novel Bi

Indexed as

Bile Duct NeoplasmsBiosensing TechniquesCholangiocarcinomaElectrochemical TechniquesMicroRNAsDensity Functional TheoryHumansLimit of DetectionMachine LearningMicroRNAsMIRN29a microRNA, humanBi4Ti3O12/WS2BiosensorCholangiocarcinomaMiR-29aPEC system

Identifiers

PMID40810868

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.