Evidence map›Paper›PMID 39990116›Full record

ReviewBrain & spine2025

Advances in chromosomal microarray analysis: Transforming neurology and neurosurgery.

Wireko Andrew Awuah, Muhammad Hamza Shah, Vivek Sanker, Krishitha Meenu Mannan, Sruthi Ranganathan, Princess Afia Nkrumah-Boateng, Mabel Frimpong, Kwadwo Darko, Joecelyn Kirani Tan, Toufik Abdul-Rahman and 1 more

Abstract readReview
In one paragraph

Review in Brain & spine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

11 authors.

Wireko Andrew AwuahToufik's World Organization, Antonova 10, Sumy, 40007, Ukraine.
Muhammad Hamza ShahSchool of Medicine, Queen's University Belfast, Belfast, United Kingdom.
Vivek SankerDepartment of Neurosurgery, Trivandrum Medical College, India.
Krishitha Meenu MannanSchool of Medicine, Queen's University Belfast, Belfast, United Kingdom.
Sruthi RanganathanDepartment of Medicine, University of Cambridge, Cambridge, United Kingdom.
Princess Afia Nkrumah-BoatengUniversity of Ghana Medical School, Accra, Ghana.
Mabel FrimpongBryn Mawr College, 101 N Merion Avenue, Bryn Mawr, PA, USA.
Kwadwo DarkoDepartment of Neurosurgery, Korle Bu Teaching Hospital, Accra, Ghana.
Joecelyn Kirani TanFaculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PL, United Kingdom.
Toufik Abdul-RahmanToufik's World Organization, Antonova 10, Sumy, 40007, Ukraine.
Oday AtallahDepartment of Neurosurgery, Carl Von Ossietzky University Oldenburg, Oldenburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades, genomics has transformed our understanding of various clinical conditions, with Chromosomal Microarray Analysis (CMA) standing out as a key technique. Offering unparalleled sensitivity, CMA detects submicroscopic chromosomal imbalances, enabling the examination of DNA for copy number variations, deletions, duplications, and other structural differences. In neurology, CMA has revolutionised diagnoses, personalised treatment plans, and patient outcomes. By identifying genetic anomalies linked to neurological conditions, CMA allows clinicians to tailor treatments based on individual genetic profiles, enhancing precision medicine. CMA's clinical utility spans numerous neurological conditions, providing crucial insights into neurodevelopmental disorders, CNS tumours, neurodegenerative diseases, cerebrovascular diseases, and epilepsy. In neurodevelopmental disorders, CMA aids in diagnosing autism and intellectual disabilities, facilitating early interventions that improve long-term outcomes. In epilepsy, CMA helps identify genetic causes of drug-resistant seizures, enabling more targeted therapies and reducing adverse reactions. CMA also aids in stratifying risk for cerebrovascular diseases, enabling preventive interventions that improve patient prognosis. Despite its potential, challenges remain, such as interpreting variants of uncertain significance (VOUS), the lack of standardised testing guidelines, and issues of cost and accessibility. Addressing these challenges will optimise CMA's impact, advancing personalised medicine and reshaping neurology. This review discusses CMA's pivotal role in bridging the gap between genomics and clinical practice, underscoring its potential to transform neurogenetics and ultimately improve patient care.

Indexed as

Chromosomal microarray analysisNeuro-geneticsNeurologyNeurosurgery

Identifiers

PMID39990116
PMCPMC11847126

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.