ArticleBMJ open2023
Protocol for Multi-modality MEdical imaging sTudy bAsed on KaiLuan Study (META-KLS): rationale, design and database building.
Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05453877 (Clinical Indicators and Brain Image Data), which is not on this map. Cited by 21 papers.
What it found
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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.
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.
Clinical Indicators and Brain Image Data: a Cohort Study Based on Kailuan Cohort
Who cites it
21 citing papers in PubMed, 27 citations in OpenAlex.
- Kidney function and brain health: cognitive and structural signatures across cohorts.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Blood Pressure Mediates the Association Between Carotid-Femoral Pulse Wave Velocity and Basal Ganglia Enlarged Perivascular Spaces: A Community-Based Cross-Sectional Study.Journal of clinical hypertension (Greenwich, Conn.) · 2026Article
- Association of Long-Term Trajectories in Obesity Indices With Neuroimaging Metrics and Cognition: A Population-Based Study.Diabetes, obesity & metabolism · 2026Article
- Association of long-term exposure to lower low-density lipoprotein cholesterol with neuroimaging metrics: A population-based cohort study.Chinese medical journal · 2026Observational
- Effects of cumulative systolic blood pressure on arterial stiffness: a cross-sectional study based on a community in northern China with 16 years of follow-up.Journal of human hypertension · 2026Article
- Association of Weight-Adjusted-Waist Index With Brain Health: A 16-Year Population-Based Longitudinal Cohort Study.CNS neuroscience & therapeutics · 2026Article
- Association of Multiple Plasma Metals With Cerebral Microbleeds: A Brain Magnetic Resonance Imaging-Based Study.Journal of the American Heart Association · 2026Article
- Association Between Age at Hypertension Diagnosis and Brain Health: A Population-Based Cohort Study.Journal of evidence-based medicine · 2026Article
- Impaired glymphatic function in relation to cumulative blood glucose exposure: A population-based cohort study.IBRO neuroscience reports · 2025Article
- Long-term Blood Pressure Exposure and Cerebral Microbleeds: a Retrospective Study from the META-KLS Cohort.Clinical neuroradiology · 2025Observational
- Relationships between multimodal ocular imaging and white matter hyperintensity volume.Quantitative imaging in medicine and surgery · 2025Article
- Correlation between carotid artery ultrasound parameters and lacunar infarction.BMC medical imaging · 2025Article
- Clinical information prompt-driven retinal fundus image for brain health evaluation.Military Medical Research · 2025Observational
- Ambient air pollution exposure in relation to cerebral small vessel disease in Chinese population: A cranial magnetic resonance imaging-based study.Eco-Environment & Health · 2025Article
- Retinal Vascular Morphology Reflects and Predicts Cerebral Small Vessel Disease: Evidences from Eye-Brain Imaging Analysis.Research (Washington, D.C.) · 2025Article
- Higher Long-Term Visit-to-Visit Blood Pressure Variability Is Associated With Severe Cerebral Small Vessel Disease in the General Population.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- Associations of serum uric acid variability with neuroimaging metrics and cognitive decline: a population-based cohort study.BMC medicine · 2024Article
- Association of variability in body size with neuroimaging metrics of brain health: a population-based cohort study.The Lancet regional health. Western Pacific · 2024Article
- The association of global vessel width with cognitive decline and cerebral small vessel disease burden in the KaiLuan study.Quantitative imaging in medicine and surgery · 2024Article
- Discovery of High-Risk Clinical Factors That Accelerate Brain Aging in Adults: A Population-Based Machine Learning Study.Research (Washington, D.C.) · 2024Article
Corrections and comments
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Authors and funding
20 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionMulti-modality medical imaging study, especially brain MRI, greatly facilitates the research on subclinical brain disease. However, there is still a lack of such studies with a wider age span of participants. The Multi-modality MEdical imaging sTudy bAsed on KaiLuan Study (META-KLS) was designed to address this issue with a large sample size population. METHODS AND ANALYSIS: We aim to enrol at least 1000 subjects in META-KLS. All the participants without contraindications will perform multi-modality medical imaging, including brain MRI, retinal fundus photograph, fundus optical coherence tomography (OCT) and ultrasonography of the internal carotid artery (ICA) every 2-4 years. The acquired medical imaging will be further processed with a standardised and validated workflow. The clinical data at baseline and follow-up will be collected from the KaiLuan Study. The associations between multiple risk factors and subclinical brain disease are able to be fully investigated. Researches based on META-KLS will provide a series of state-of-the-art evidence for the prevention of neurological diseases and common chronic diseases. ETHICS AND DISSEMINATION: The Kailuan Study and META-KLS have been approved by the Medical Ethics Committee of Kailuan General Hospital (IRB number: 2008 No. 1 and 2021002, respectively). Written informed consent will be acquired from each participant. Results are expected to be published in professional peer-reviewed journals beginning in 2023. TRIAL REGISTRATION NUMBER: NCT05453877.
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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.