Evidence map›Paper›PMID 36847930›Full record

ReviewCellular and molecular neurobiology2023

Advanced Overview of Biomarkers and Techniques for Early Diagnosis of Alzheimer's Disease.

Shital Rani, Sudhrita Basu Dhar, Akhil Khajuria, Dikshi Gupta, Pradeep Kumar Jaiswal, Neha Singla, Mandeep Kaur, Gurpal Singh, Ravi Pratap Barnwal

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
6.3field-weighted citation impact, top 3% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Beyond the beats: a systematic review of the underlying inflammatory pathways between atrial fibrillation and cognitive decline.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Pooled it
  2. Design of bifunctional pyridinophane ligands as MnInorganic chemistry frontiers · 2026
    Article
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  6. Smart assistive technologies for neurodisorders: A review on AI, IoT, and wearable systems for enhanced patient care.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
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  20. Cognitive Impairment in Multiple Sclerosis.Bioengineering (Basel, Switzerland) · 2023
    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

9 authors at 3 institutions in 2 countries.

Shital Rani *Department of Biophysics, Panjab University, Chandigarh, 160014, India.
Sudhrita Basu Dhar *University Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Akhil KhajuriaUniversity Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India.
Dikshi GuptaJoyScore Inc., 2440 Cerritos Ave, Signal Hill, CA, 90755, USA.
Pradeep Kumar JaiswalDepartment of Biochemistry and Biophysics, Texas A & M University, College Station, TX, 77843, USA.
Neha SinglaDepartment of Biophysics, Panjab University, Chandigarh, 160014, India.
Mandeep KaurDepartment of Biophysics, Panjab University, Chandigarh, 160014, India. mandeep9@pu.ac.in.ORCID https://orcid.org/0000-0003-4738-4657
Gurpal SinghUniversity Institute of Pharmaceutical Sciences, Panjab University, Chandigarh, 160014, India. gurpal79@pu.ac.in.ORCID https://orcid.org/0000-0003-1665-145X
Ravi Pratap BarnwalDepartment of Biophysics, Panjab University, Chandigarh, 160014, India. barnwal@pu.ac.in.ORCID https://orcid.org/0000-0003-3156-5357
Panjab University · INEnsco (United States) · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of early non-invasive diagnosis methods and identification of novel biomarkers are necessary for managing Alzheimer's disease (AD) and facilitating effective prognosis and treatment. AD has multi-factorial nature and involves complex molecular mechanism, which causes neuronal degeneration. The primary challenges in early AD detection include patient heterogeneity and lack of precise diagnosis at the preclinical stage. Several cerebrospinal fluid (CSF) and blood biomarkers have been proposed to show excellent diagnosis ability by identifying tau pathology and cerebral amyloid beta (Aβ) for AD. Intense research endeavors are being made to develop ultrasensitive detection techniques and find potent biomarkers for early AD diagnosis. To mitigate AD worldwide, understanding various CSF biomarkers, blood biomarkers, and techniques that can be used for early diagnosis is imperative. This review attempts to provide information regarding AD pathophysiology, genetic and non-genetic factors associated with AD, several potential blood and CSF biomarkers, like neurofilament light, neurogranin, Aβ, and tau, along with biomarkers under development for AD detection. Besides, numerous techniques, such as neuroimaging, spectroscopic techniques, biosensors, and neuroproteomics, which are being explored to aid early AD detection, have been discussed. The insights thus gained would help in finding potential biomarkers and suitable techniques for the accurate diagnosis of early AD before cognitive dysfunction.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersEarly DiagnosisHumanstau ProteinsAmyloid beta-PeptidesBiomarkerstau ProteinsAlzheimer’s diseaseBlood biomarkersCerebrospinal fluidDiagnosis

Identifiers

PMID36847930
PMCPMC11410160
OpenAlexW4322495020

What Socratic holds

Textmetadata
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 Socratic graph.