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Current trends in blood biomarker detection and imaging for Alzheimer's disease
Hu S, Yang C, Luo H.. Biosensors & bioelectronics, 2022-04-12
Topic: Plasma and spinal-fluid biomarkers
Alzheimer's disease (AD) is a neurodegenerative disease that causes cognitive impairments in areas such as memory, language, and reasoning. Currently, a definitive diagnosis of AD is based on histological examination of brain specimens. Hence, it is imperative to develop practical AD detection and diagnostic tools. Blood tests are less invasive, more accessible than lumbar puncture for cerebrospinal fluid collection, and are an ideal source of biomarkers. Various detection techniques related to AD biomarkers have emerged, and have been used in the detection of AD blood samples. However, to improve the diagnostic accuracy of AD blood testing in clinical practice, basic research needs more detailed guidelines to determine how to implement the use of biomarkers in diagnostic procedures. Therefore, combining blood biomarker detection with imaging markers may help improve the accuracy of AD diagnosis. In this review, we discuss the development trend of AD-related blood biomarker detection technologies including optoelectrical analysis platforms, and look forward to the development prospects of joint detection with optoelectronic and imaging technologies in clinical diagnosis.
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APA 7th
Hu, S., Yang, C., & Luo, H. (2022). Current trends in blood biomarker detection and imaging for Alzheimer's disease. Biosensors & bioelectronics. https://doi.org/10.1016/j.bios.2022.114278
Vancouver
Hu S, Yang C, Luo H. Current trends in blood biomarker detection and imaging for Alzheimer's disease. Biosensors & bioelectronics. 2022. doi:10.1016/j.bios.2022.114278. PMID: 35460969.
BibTeX
@article{hu2022-35460969,
author = {Hu, S. and Yang, C. and Luo, H.},
title = {{Current trends in blood biomarker detection and imaging for Alzheimer's disease}},
journal = {Biosensors \& bioelectronics},
year = {2022},
doi = {10.1016/j.bios.2022.114278},
pmid = {35460969},
url = {https://doi.org/10.1016/j.bios.2022.114278}
}
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Key findings
- Blood tests are less invasive, more accessible than lumbar puncture for cerebrospinal fluid collection, and are an ideal source of biomarkers.
- Various detection techniques related to AD biomarkers have emerged, and have been used in the detection of AD blood samples.
- However, to improve the diagnostic accuracy of AD blood testing in clinical practice, basic research needs more detailed guidelines to determine how to implement the use of biomarkers in diagnostic procedures.
- Therefore, combining blood biomarker detection with imaging markers may help improve the accuracy of AD diagnosis.
- In this review, we discuss the development trend of AD-related blood biomarker detection technologies including optoelectrical analysis platforms, and look forward to the development prospects of joint detection with optoelectronic and imaging technologies in clinical diagnosis.
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Study details
- Evidence strengthLow
How this study scored 40/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomized / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record and multicenter collaboration, so those were left out: it earned 23 of the 58 points we could judge it on, which is 40 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Biosensors & bioelectronics) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2022 — within 6 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomized / blinded | 0 / 2 | No randomization or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multicenter collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 35460969) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Points | 23 / 58 | Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 23 of the 58 points we could judge it on is 40 out of 100. |
| Total | 40 / 100 | — |
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