Evidence map›Paper›PMID 36389060›Full record

ArticleFrontiers in aging neuroscience2022

Early-stage differentiation between Alzheimer's disease and frontotemporal lobe degeneration: Clinical, neuropsychology, and neuroimaging features.

Pan Li, Wei Quan, Zengguang Wang, Ying Liu, Hao Cai, Yuan Chen, Yan Wang, Miao Zhang, Zhiyan Tian, Huihong Zhang and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 16% of its field
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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Adaptive Integration of Incomplete Multimodal 3D Neuroimaging for Alzheimer's Prediction and Biomarker Discovery.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Case Study 8: A 70-Year-Old Man With Memory Loss, Wandering, and Inappropriate Behaviors.The Journal of neuropsychiatry and clinical neurosciences · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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 at 3 institutions in 1 country.

Pan LiDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Wei QuanDepartment of Neurosurgery, General Hospital of Tianjin Medical University, Tianjin, China.
Zengguang WangDepartment of Neurosurgery, General Hospital of Tianjin Medical University, Tianjin, China.
Ying LiuDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Hao CaiDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Yuan ChenDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Yan WangDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Miao ZhangDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Zhiyan TianDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Huihong ZhangDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Yuying ZhouDepartment of Neurology, Tianjin Huanhu Hospital, Tianjin, China.
Tianjin Medical University · CNTianjin University · CNNankai University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Alzheimer's disease (AD) and frontotemporal lobar degeneration (FTLD) are the two most common forms of neurodegenerative dementia. Although both of them have well-established diagnostic criteria, achieving early diagnosis remains challenging. Here, we aimed to make the differential diagnosis of AD and FTLD from clinical, neuropsychological, and neuroimaging features. Materials and methods: In this retrospective study, we selected 95 patients with PET-CT defined AD and 106 patients with PET-CT/biomarker-defined FTLD. We performed structured chart examination to collect clinical data and ascertain clinical features. A series of neuropsychological scales were used to assess the neuropsychological characteristics of patients. Automatic tissue segmentation of brain by Dr. Brain tool was used to collect multi-parameter volumetric measurements from different brain areas. All patients' structural neuroimage data were analyzed to obtain brain structure and white matter hyperintensities (WMH) quantitative data. Results: The prevalence of vascular disease associated factors was higher in AD patients than that in FTLD group. 56.84% of patients with AD carried at least one APOE ε4 allele, which is much high than that in FTLD patients. The first symptoms of AD patients were mostly cognitive impairment rather than behavioral abnormalities. In contrast, behavioral abnormalities were the prominent early manifestations of FTLD, and few patients may be accompanied by memory impairment and motor symptoms. In direct comparison, patients with AD had slightly more posterior lesions and less frontal atrophy, whereas patients with FTLD had more frontotemporal atrophy and less posterior lesions. The WMH burden of AD was significantly higher, especially in cortical areas, while the WMH burden of FTLD was higher in periventricular areas. Conclusion: These results indicate that dynamic evaluation of cognitive function, behavioral and psychological symptoms, and multimodal neuroimaging are helpful for the early diagnosis and differentiation between AD and FTLD.

Indexed as

Alzheimer’s diseasedifferential diagnosisfrontotemporal lobar degenerationmultimodal neuroimagingneuropsychology

Identifiers

PMID36389060
PMCPMC9659748
OpenAlexW4307872795

What OpenQuestion holds

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LicenceCC BY
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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.