Evidence map›Paper›PMID 39698592›Full record

ArticleQuantitative imaging in medicine and surgery2024

Voxel-based evaluation for [

Tse-Hao Lee, Yuh-Feng Wang, Nan-Jing Peng, Syu-Jyun Peng

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Tse-Hao LeeDepartment of Nuclear Medicine, Taipei Veterans General Hospital, Taipei.
Yuh-Feng WangDepartment of Nuclear Medicine, Taipei Veterans General Hospital, Taipei.
Nan-Jing PengDepartment of Nuclear Medicine, Taipei Veterans General Hospital, Taipei.
Syu-Jyun PengIn-Service Master Program in Artificial Intelligence in Medicine, College of Medicine, Taipei Medical University, Taipei.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Positron emission tomography (PET) scans are commonly used to diagnose Alzheimer's disease (AD) by detecting β-amyloid (Aβ) deposition in the cortex; however, brain amyloid plaque load (BAPL) scores based on the visual interpretation of experts are highly subjective. In the current retrospective study, voxel-based processing of [ Methods: This was a cross-sectional study investigating Aβ PET of AD, MCI and HC subjects from the Global Alzheimer's Association Information Network (GAAIN) database and from Taipei Veterans General Hospital (TVGH) between October 2019 and December 2021. The determination of diagnosis (AD, MCI and HC) from GAAIN database was referred from the notes of this database and that from TVGH was referred from the medical records. Aβ PET scans were processed using statistical parametric mapping software. This analysis identified gray matter voxels presenting [ Results: Whole brain observations revealed significant differences between AD patients, MCI patients, and elderly HC subjects in terms of the number of positive gray matter voxels (P=0.0281). In addition, more number of positive gray matter voxels were observed in AD patients than in elderly HC subjects (P=0.036). Most of the elderly HC subjects exhibited no positive gray matter voxels. Conclusions: Our preliminary analysis of [

Indexed as

[18F] florbetaben brain β-amyloid positron emission tomography ([18F] FBB brain Aβ PET)Alzheimer’s disease (AD)mild cognitive impairment (MCI)voxel-based analysisβ-amyloid (Aβ) deposition

Identifiers

PMID39698592
PMCPMC11651969

What OpenQuestion holds

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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.