Evidence map›Paper›PMID 40019732›Full record

ArticleAnnals of nuclear medicine2025

Phenotype-specific metabolic patterns in Posterior cortical atrophy and early-onset typical Alzheimer's disease.

Jiaying Lu, Keliang Chen, Huamei Lin, Zizhao Ju, Jingjie Ge, Jie Lu, Yihui Guan, Qihao Guo, Shuguang Chu, Qianhua Zhao and 3 more

Abstract read
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Article in Annals of nuclear medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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  3. Review
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

13 authors.

Jiaying Lu *Department of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, No.518, East Wuzhong Road, Shanghai, 200235, China.
Keliang Chen *National Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Huamei LinDepartment of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, No.518, East Wuzhong Road, Shanghai, 200235, China.
Zizhao JuDepartment of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, No.518, East Wuzhong Road, Shanghai, 200235, China.
Jingjie GeDepartment of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, No.518, East Wuzhong Road, Shanghai, 200235, China.
Jie LuDepartment of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yihui GuanDepartment of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, No.518, East Wuzhong Road, Shanghai, 200235, China.
Qihao GuoDepartment of Geriatrics, Shanghai Jiaotong University Affiliated Sixth People'S Hospital, Shanghai, China.
Shuguang ChuDepartment of Radiology, Shanghai East Hospital, Tongji University School of Medicine, No.150, Jimo Road, Shanghai, 200120, China. chushu1018@hotmail.com.
Qianhua ZhaoNational Center for Neurological Disorders & National Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China. qianhuazhao@fudan.edu.cn.
Chuantao ZuoDepartment of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, No.518, East Wuzhong Road, Shanghai, 200235, China.
Ping WuDepartment of Nuclear Medicine & PET Center, Huashan Hospital, Fudan University, No.518, East Wuzhong Road, Shanghai, 200235, China. wupingpet@fudan.edu.cn.ORCID http://orcid.org/0000-0002-2758-1218
Shanghai Memory Study

Funding

Beijing Brain Initiative from Beijing Municipal Science & Technology Commission Z201100005520018Clinical Research Plan of SHDC SHDC2020CR1038BClinical Research Plan of SHDC SHDC2020CR4007Medical Innovation Research Project funded by Shanghai Science and Technology Commission 21Y11903300National Key Research and Development Program of China 2022YFC2009900National Key Research and Development Program of China 2022YFC2009902National Key Research and Development Program of China 2022YFC24069004National Natural Science Foundation of China 81771483National Natural Science Foundation of China 81902282National Natural Science Foundation of China 81971641National Natural Science Foundation of China 82001139National Natural Science Foundation of China 82021002National Natural Science Foundation of China 82071200Science and Technology Innovation 2030 Major Project 2022ZD0211600Youth Medical Talents - Medical Imaging Practitioner Program by Shanghai Municipal Health Commission and Shanghai Medical and Health Development Foundation SHWRS(2020)_087
6 · The paper itself

Abstract

objectivePosterior cortical atrophy (PCA) is generally considered an atypical variant of Alzheimer's disease (AD) and is an important component of early-onset AD. Symptomatologic heterogeneity has led to a high rate of misdiagnosis or delayed diagnosis of early-onset AD. We sought to establish the phenotypic-specific metabolic patterns of PCA and early-onset typical AD (tAD) and to assess whether phenotype-specific neuroimaging biomarkers are more valuable for disease recognition.

methodsPatients accepting

resultsPCA-related pattern (PCARP) was characterized by extensively relative hypometabolism in the parietal lobe, occipital lobe, temporal lobe, cingulate gyrus, and relative hypermetabolism mainly in vermis, thalamus. Early-onset tAD-related pattern (EOtADRP) was characterized by relative hypometabolism mainly in the middle frontal gyrus, angular gyrus, precuneus, middle temporal gyrus, cingulate gyrus, caudate, and relative hypermetabolism mainly in vermis, thalamus, postcentral gyrus. PCARP and EOtADRP were closely related in topography (r = 0.909, P < 0.001) and expression (r = 0.862, P < 0.001). High accuracies in distinguishing corresponding patient group from HC were found in both, while only PCARP was capable of phenotype discrimination (PCA versus early-onset tAD; area under the receiver operating characteristic curve [AUC] = 0.84-0.88 for PCARP, AUC = 0.57-0.62 for EOtADRP) and distinguishment between PCA/early-onset tAD and bv-FTD (AUC = 1.00/0.91 for PCARP, AUC = 0.73/0.62 for EOtADRP). PCARP showed great potential in detecting clinical severity in both phenotypes whereas EOtADRP only worked in early-onset tAD.

conclusionPCARP outperformed EOtADRP in phenotype discrimination with better potential in severity assessment.

Indexed as

Alzheimer DiseaseCerebral CortexAgedAge of OnsetAtrophyFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedPhenotypePositron-Emission TomographyFluorodeoxyglucose F1818F-FDG PETEarly-onset typical Alzheimer’s diseaseNeuroimaging biomarkerPhenotypePosterior cortical atrophy

Identifiers

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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 Socratic graph.