Evidence map›Paper›PMID 42882769›Full record

ArticleCancers2026

Multi-Scale MRI, Radiology Reports, and Blood Biomarker-Guided Multimodal Deep Learning for Predicting Postoperative Recurrence in Cervical Cancer: A Multicenter Study.

Yiyang Wu, Yao Ai, Yangyang Zhang, Long Zhang, Yifan Yang, Wenping Zhao, Ji Zhang, Yimou Fu, Jianping Wu, Yan Hu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 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

11 authors.

Yiyang WuDepartment of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Yao AiDepartment of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Yangyang ZhangDepartment of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Long ZhangCixi Biomedical Research Institute, Wenzhou Medical University, Wenzhou 325000, China.
Yifan YangCixi Biomedical Research Institute, Wenzhou Medical University, Wenzhou 325000, China.
Wenping ZhaoDepartment of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Ji ZhangDepartment of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Yimou FuDepartment of Radiotherapy, The Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Jianping WuDepartment of Radiotherapy, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou 324000, China.
Yan HuDepartment of Gynecology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Xiance JinDepartment of Radiation and Medical Oncology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.ORCID 0000-0002-4117-5953

Funding

Key project of Zhejiang Natural Science Foundation LZ24A050008Key project of Zhejiang Provincial Health Science and Technology Program WKJ-ZJ-2437Major project of Wenzhou Science and Technology Bureau ZY2022016, ZY2020011National Natural Science Foundation of China 12475352Wenzhou Medical University z3-2023037Zhejiang Higher Education Association Project KT2024088
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

cervical cancerdeep learningMRI radiology reportmulti-scale moderecurrence

Identifiers

PMID42882769
PMCPMC13664258

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.