Evidence map›Paper›PMID 41303845›Full record

ArticleMedicina (Kaunas, Lithuania)2025

A Multimodal Diagnostic Model for Breast Cancer Invasiveness Based on Ultrasound Imaging and Serum Biomarkers.

Dianhuan Tan, Yue Zhai, Zhengming Hu, Desheng Sun, Tingting Zheng

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 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.

Dianhuan TanShenzhen Key Laboratory for Drug Addiction and Medication Safety, Department of Ultrasound, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China.
Yue ZhaiShenzhen Key Laboratory for Drug Addiction and Medication Safety, Department of Ultrasound, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China.ORCID 0009-0008-3838-0498
Zhengming HuShenzhen Key Laboratory for Drug Addiction and Medication Safety, Department of Ultrasound, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China.
Desheng SunShenzhen Key Laboratory for Drug Addiction and Medication Safety, Department of Ultrasound, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China.
Tingting ZhengShenzhen Key Laboratory for Drug Addiction and Medication Safety, Department of Ultrasound, Institute of Ultrasonic Medicine, Peking University Shenzhen Hospital, Shenzhen Peking University-The Hong Kong University of Science and Technology Medical Center, Shenzhen 518036, China.

Funding

National Key Research and Development Program of China 2023YFC3402605Peking University Shenzhen Hospital LCYJZD2021010the Natural Science Foundation of Guangdong Province 2022A1515010986, 2022A1515010296the Sanming Project of Medicine in Shenzhen SZSM202111011the Science and Technology Project of Shenzhen JCYJ20230807095209018, JCYJ20210324110211031, JCYJ20210324131402008, KXCFZ20200201101048774the Shenzhen Key Medical Discipline Construction Fund SZXK051
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Biomarkers, TumorBreast NeoplasmsMultimodal ImagingNeoplasm InvasivenessAdultAgedCA-125 AntigenFemaleHumansMiddle AgedUltrasonographyBiomarkers, TumorCA-125 Antigenbreast cancer invasivenessmachine learningmultimodal diagnosticsserum biomarkersultrasound imaging

Identifiers

PMID41303845
PMCPMC12654282

What OpenQuestion holds

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LicenceCC BY
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.