Evidence map›Paper›PMID 37174709›Full record

SynthesisCells2023

GFAP as a Potential Biomarker for Alzheimer's Disease: A Systematic Review and Meta-Analysis.

Ka Young Kim, Ki Young Shin, Keun-A Chang

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 176 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
176citing papers in PubMed, 8 pooled it
46.8field-weighted citation impact, top 1% 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

176 citing papers in PubMed, 8 syntheses or guidelines pooled it, 267 citations in OpenAlex.

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  4. Systematic review and meta-analysis of bulk RNAseq studies in human Alzheimer's disease brain tissue.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  15. Comparison of TDP-43, NfL, and GFAP in cerebrospinal fluid and serum in Alzheimer's disease.European archives of psychiatry and clinical neuroscience · 2026
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116 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 1 country.

Ka Young KimDepartment of Nursing, College of Nursing, Gachon University, Incheon 21936, Republic of Korea.ORCID 0000-0003-3705-6449
Ki Young ShinBio-MAX Institute, Seoul National University, Seoul 08826, Republic of Korea.
Keun-A ChangNeuroscience Research Institute, Gachon University, Incheon 21565, Republic of Korea.ORCID 0000-0002-6157-6340
Gachon University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood biomarkers have been considered tools for the diagnosis, prognosis, and monitoring of Alzheimer's disease (AD). Although amyloid-β peptide (Aβ) and tau are primarily blood biomarkers, recent studies have identified other reliable candidates that can serve as measurable indicators of pathological conditions. One such candidate is the glial fibrillary acidic protein (GFAP), an astrocytic cytoskeletal protein that can be detected in blood samples. Increasing evidence suggests that blood GFAP levels can be used to detect early-stage AD. In this systematic review and meta-analysis, we aimed to evaluate GFAP in peripheral blood as a biomarker for AD and provide an overview of the evidence regarding its utility. Our analysis revealed that the GFAP level in the blood was higher in the Aβ-positive group than in the negative groups, and in individuals with AD or mild cognitive impairment (MCI) compared to the healthy controls. Therefore, we believe that the clinical use of blood GFAP measurements has the potential to accelerate the diagnosis and improve the prognosis of AD.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAmyloid beta-PeptidesBiomarkersGlial Fibrillary Acidic ProteinHumansAmyloid beta-PeptidesBiomarkersGFAP protein, humanGlial Fibrillary Acidic ProteinAlzheimer’s diseaseblood biomarkercognitive impairmentGFAPglial fibrillary acidic protein

Identifiers

PMID37174709
PMCPMC10177296
OpenAlexW4376630140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.