Evidence map›Paper›PMID 37509638›Full record

ArticleBiomedicines2023

Unraveling Lifelong Brain Morphometric Dynamics: A Protocol for Systematic Review and Meta-Analysis in Healthy Neurodevelopment and Ageing.

Yauhen Statsenko, Tetiana Habuza, Darya Smetanina, Gillian Lylian Simiyu, Sarah Meribout, Fransina Christina King, Juri G Gelovani, Karuna M Das, Klaus N-V Gorkom, Kornelia Zaręba and 4 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 15 citations in OpenAlex.

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  4. Review
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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

14 authors at 3 institutions in 3 countries.

Yauhen StatsenkoRadiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-7713-3333
Tetiana HabuzaBig Data Analytics Center, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0003-1687-6915
Darya SmetaninaRadiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-4462-8823
Gillian Lylian SimiyuRadiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-2398-4730
Sarah MeriboutRadiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-3853-0774
Fransina Christina KingPhysiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0001-7250-5145
Juri G GelovaniRadiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-8413-6161
Karuna M DasRadiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-4703-5433
Klaus N-V GorkomRadiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-9551-1887
Kornelia ZarębaObstetrics & Gynecology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-8262-4380
Taleb M AlmansooriRadiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-5723-4970
Miklós SzólicsNeurology Division, Medicine Department, Tawam Hospital, Al Ain, P.O. Box 15258, United Arab Emirates.ORCID 0000-0001-7425-4570
Fatima IsmailPediatric Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-2552-4594
Milos LjubisavljevicPhysiology Department, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain P.O. Box 15551, United Arab Emirates.ORCID 0000-0002-5025-3562
United Arab Emirates University · AEMaimonides Medical Center · USSiriraj Hospital · TH

Funding

Abu Dhabi Precision Medicine Virtual Research Institute 21R098ASPIRE AARE19-060
6 · The paper itself

Abstract

A high incidence and prevalence of neurodegenerative diseases and neurodevelopmental disorders justify the necessity of well-defined criteria for diagnosing these pathologies from brain imaging findings. No easy-to-apply quantitative markers of abnormal brain development and ageing are available. We aim to find the characteristic features of non-pathological development and degeneration in distinct brain structures and to work out a precise descriptive model of brain morphometry in age groups. We will use four biomedical databases to acquire original peer-reviewed publications on brain structural changes occurring throughout the human life-span. Selected publications will be uploaded to Covidence systematic review software for automatic deduplication and blinded screening. Afterwards, we will manually review the titles, abstracts, and full texts to identify the papers matching eligibility criteria. The relevant data will be extracted to a 'Summary of findings' table. This will allow us to calculate the annual rate of change in the volume or thickness of brain structures and to model the lifelong dynamics in the morphometry data. Finally, we will adjust the loss of weight/thickness in specific brain areas to the total intracranial volume. The systematic review will synthesise knowledge on structural brain change across the life-span.

Indexed as

ageingatrophybrainbrain diseasescognitionmeta-analysisnerve degenerationneurodevelopmental disordersneuroimagingregression analysis

Identifiers

PMID37509638
PMCPMC10377186
OpenAlexW4384525472

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.