Evidence map›Paper›PMID 42472714›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2026

From biomarker expansion to equitable implementation in mild cognitive impairment.

Mashal Khan, Talha Khan, Ayesha Tariq

Abstract readLetter
PubMed Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mashal KhanWomen Medical College, Abbottabad Affiliated with Khyber Medical University, Peshawar, Pakistan.ORCID http://orcid.org/0009-0001-7425-3989
Talha KhanIslamic International Medical College, Riphah International University, Rawalpindi, Pakistan.ORCID http://orcid.org/0009-0007-7165-2080
Ayesha TariqIslamic International Medical College, Riphah International University, Rawalpindi, Pakistan. Ayesha.tsk@gmail.com.ORCID http://orcid.org/0009-0005-7871-266X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The expanding role of cerebrospinal fluid (CSF) biomarkers in Alzheimer's disease diagnosis represents a major shift toward biologically driven dementia care. In response to the article by Poli et al., we discuss important considerations regarding the broader implementation of CSF biomarker testing in patients with mild cognitive impairment (MCI), particularly in the era of emerging anti-amyloid therapies. While biomarker-guided approaches may improve identification of atypical or non-amnestic Alzheimer's disease presentations, widespread adoption remains limited by disparities in diagnostic infrastructure, standardized testing availability, expertise in lumbar puncture procedures, and longitudinal monitoring capacity across healthcare systems. In addition, expanded eligibility for anti-amyloid therapies introduces challenges related to patient selection, treatment accessibility, and equitable allocation of healthcare resources. Ethical considerations surrounding biomarker disclosure and prognostic uncertainty also warrant continued discussion. We emphasize the need for future studies evaluating accessibility, cost-effectiveness, and standardized patient selection frameworks to support equitable integration of biomarker-guided dementia care into routine neurological practice.

Indexed as

Alzheimer DiseaseBiomarkersCognitive DysfunctionHumansBiomarkers

Identifiers

What OpenQuestion 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 OpenQuestion graph.