Evidence map›Paper›PMID 39373899›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2025

[

Daoyan Hu, Congcong Yu, Xiaohui Zhang, Yan Zhong, Yuankai Zhu, Mei Tian, Hong Zhang

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Article in European journal of nuclear medicine and molecular imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
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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

7 authors.

Daoyan Hu *College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, 310014, Zhejiang, China.
Congcong Yu *Department of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
Xiaohui ZhangDepartment of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
Yan ZhongDepartment of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
Yuankai ZhuDepartment of Nuclear Medicine and PET Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, Hubei, China.
Mei TianDepartment of Nuclear Medicine and Medical PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China. tianmei@fudan.edu.cn.
Hong ZhangCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, 310014, Zhejiang, China. hzhang21@zju.edu.cn.ORCID 0000-0002-4084-5150

Funding

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China 82030049
6 · The paper itself

Abstract

objectiveThis study aimed to investigate [

methodsThis retrospective study enrolled 40 patients and 25 controls. Patients were categorized into drug-sensitive epilepsy (n = 22) and drug-resistant epilepsy (n = 18) according to the seizure frequency at follow-up. All patients underwent two [

resultsThe drug-sensitive group showed a lower |AI| at both baseline (P = 0.038) and follow-up (P = 0.003) PET scans than the drug-resistant group. |AI| decreased in the drug-sensitive group and increased in the drug-resistant group across scans, but these trends were not statistically significant (P = 0.240 and P = 0.450, respectively). Both groups exhibited hypometabolism at baseline. The drug-sensitive group showed less hypometabolic brain regions than the drug-resistant group. The drug-sensitive maintained stable level of hypometabolism between the two scans, whereas the drug-resistant group showed an increasing hypometabolism. Network analysis demonstrated that the drug-sensitive group had a higher global efficiency, average degree, and clustering, along with a shorter characteristic path length compared to the drug-resistant group.

conclusionsFor the first time, this study revealed in vivo cerebral glucose metabolic pattern of nonsurgical pediatric epilepsy patients treated by antiepileptic drugs. Especially, drug-resistant epilepsy patients represented significantly extensive and progressive hypometabolism with inefficient brain network connectivity compared with drug-sensitive epilepsy. [

Indexed as

BrainDrug Resistant EpilepsyEpilepsyFluorodeoxyglucose F18GlucosePositron-Emission TomographyAdolescentChildChild, PreschoolFemaleHumansMaleRetrospective StudiesFluorodeoxyglucose F18GlucoseCerebral glucose metabolismFollow-upMetabolic networkPediatric EpilepsyPositron emission tomography (PET)

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Registered trials

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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.