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45/100

✓ Peer-reviewed alzhub usefulness score 45 out of 100. Biomarkers

Topic: Plasma and spinal-fluid biomarkers

Plain-language summary

Introduction Concerns have been raised about the limited health system capacity for identification of patients who are eligible for a disease-modifying Alzheimer's treatment (DMT). Blood-based biomarker (BBBM) tests are a promising tool to improve triaging at the primary care level. We projected their impact on cost of and wait times during the diagnostic process. Methods We compare four scenarios for triaging patients at the primary care level from the perspective of the U.S. health care system: (1) cognitive test only (Mini Mental State Examination [MMSE]), (2) BBBM test only, (3) MMSE followed by BBBM if positive, and (4) BBBM followed by MMSE if positive. Results Referring patients to dementa specialists based on MMSE or BBBM results alone would continuously require more specialist appointments than projected to be available until 2050. Combining MMSE and BBBM would eliminate wait lists after the first 3 years and reduce average annual cost by $400 to 700 million, while increasing correctly identified cases by about 120,000 per year. Discussion The combination BBBM with MMSE is projected to increase the efficiency and value of the triage process for DMT eligibility.

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APA 7th

Mattke, S., Cho, S. K., Bittner, T., Hlávka, J., & Hanson, M. (2020). Blood-based biomarkers for Alzheimer's pathology and the diagnostic process for a disease-modifying treatment: Projecting the impact on the cost and wait times. Alzheimer's & dementia (Amsterdam, Netherlands). https://doi.org/10.1002/dad2.12081

Vancouver

Mattke S, Cho SK, Bittner T, Hlávka J, Hanson M. Blood-based biomarkers for Alzheimer's pathology and the diagnostic process for a disease-modifying treatment: Projecting the impact on the cost and wait times. Alzheimer's & dementia (Amsterdam, Netherlands). 2020. doi:10.1002/dad2.12081. PMID: 32832590.

BibTeX

@article{mattke2020-32832590,
  author  = {Mattke, S. and Cho, S. K. and Bittner, T. and Hlávka, J. and Hanson, M.},
  title   = {{Blood-based biomarkers for Alzheimer's pathology and the diagnostic process for a disease-modifying treatment: Projecting the impact on the cost and wait times}},
  journal = {Alzheimer's \& dementia (Amsterdam, Netherlands)},
  year    = {2020},
  doi     = {10.1002/dad2.12081},
  pmid    = {32832590},
  url     = {https://doi.org/10.1002/dad2.12081}
}

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How to read this study

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Effect: the record gives no effect size, so the summary above cannot say how large any difference was.

What the evidence grade means here

This page is graded low. alzhub.org assigns the grade automatically from keywords in the abstract, not from reading the paper. Low means the abstract matched neither pattern. It is the default label, and it does not mean the work is poor; many sound lab and imaging papers land here. It can add at most 5 of the 100 points in the study score, and it is a label about design, not a verdict on whether the findings are true.

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Key findings

Results Referring patients to dementa specialists based on MMSE or BBBM results alone would continuously require more specialist appointments than projected to be available until 2050.

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Study details

Evidence strengthLow

How this study scored 45/100

Published in a leading specialty 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 26 of the 58 points we could judge it on, which is 45 out of 100.

Component	Points	Why
Journal tier	9 / 10	Tier 2 — leading specialty journal (Alzheimer's & dementia (Amsterdam, Netherlands))
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	2 / 5	2020 — within 10 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 32832590)
Free to read	2 / 2	Free to read
Points	26 / 58	Scored on 11 of 20 parts. We have no data for the rest, so they are left out: 26 of the 58 points we could judge it on is 45 out of 100.
Total	45 / 100	—

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