Evidence map›Paper›PMID 38869733›Full record

ArticleMagma (New York, N.Y.)2024

s

Zhiwei Song, Honglun Li, Yiyu Zhang, Chuanzhen Zhu, Minbo Jiang, Limei Song, Yi Wang, Minhui Ouyang, Fang Hu, Qiang Zheng

Abstract read
PubMed Publisher
In one paragraph

Article in Magma (New York, N.Y.), 2024. 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

10 authors.

Zhiwei Song *School of Computer and Control Engineering, Yantai University, Yantai, 264005, China.
Honglun Li *Department of Radiology, Yantai Yuhuangding Hospital Affiliated with Qingdao University Medical College, Yantai, 264099, China.
Yiyu ZhangSchool of Computer and Control Engineering, Yantai University, Yantai, 264005, China.
Chuanzhen ZhuSchool of Computer and Control Engineering, Yantai University, Yantai, 264005, China.
Minbo JiangSchool of Computer and Control Engineering, Yantai University, Yantai, 264005, China.
Limei SongSchool of Medical Imaging, Weifang Medical University, Weifang, 261000, China.
Yi WangSchool of Computer and Control Engineering, Yantai University, Yantai, 264005, China.
Minhui OuyangDepartment of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA.
Fang HuKey Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, Xiangnan University, Chenzhou, 423000, Hunan, China.
Qiang ZhengSchool of Computer and Control Engineering, Yantai University, Yantai, 264005, China. zhengqiang@ytu.edu.cn.ORCID http://orcid.org/0000-0002-7853-8033

Funding

National Natural Science Foundation of China 61802330,National Natural Science Foundation of China 61802331Open Project of Key Laboratory of Medical Imaging and Artificial Intelligence of Hunan Province, Xiangnan University YXZN2022002Yantai City Science and Technology Innovation Development Plan 2023XDRH006
6 · The paper itself

Abstract

objectiveTo establish a multi-dimensional representation solely on structural MRI (sMRI) for early diagnosis of AD.

methodsA total of 3377 participants' sMRI from four independent databases were retrospectively identified to construct an interpretable deep learning model that integrated multi-dimensional representations of AD solely on sMRI (called s

resultsThe s

conclusionThe s

Indexed as

Alzheimer DiseaseBrainDeep LearningGray MatterMagnetic Resonance ImagingAgedAged, 80 and overDatabases, FactualEarly DiagnosisFemaleHumansImage Processing, Computer-AssistedMaleMiddle AgedRetrospective StudiesAlzheimer’s diseaseDeep learningInterpretabilityMulti-dimensional representationsStructural MRI

Identifiers

PMID38869733

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.