Evidence map›Paper›PMID 42848158›Full record

SynthesisTranslational stroke research2026

Lipid Traits and Risk of Subarachnoid Haemorrhage: A Systematic Review and Mendelian Randomization Study in UK Biobank.

Frederick Ewbank, Cameron Pinn, Benjamin Gaastra, William Tapper, Ian Galea, Diederik Bulters

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Translational stroke research, 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

6 authors.

Frederick EwbankClinical Neurosciences, Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hampshire, UK. fge1f26@soton.ac.uk.ORCID http://orcid.org/0000-0003-3969-5199
Cameron PinnClinical Neurosciences, Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hampshire, UK.
Benjamin GaastraClinical Neurosciences, Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hampshire, UK.
William TapperClinical Neurosciences, Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hampshire, UK.
Ian GaleaClinical Neurosciences, Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hampshire, UK.
Diederik BultersClinical Neurosciences, Clinical & Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, Hampshire, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid traits are established risk factors for atherosclerotic disease; however, their relationship with intracranial aneurysms and subarachnoid haemorrhage (SAH) remains unclear. Recent Mendelian randomisation (MR) studies have reported inconsistent findings. This study aimed to review the literature and assess the association between lipid traits and SAH using a one-sample MR analysis accounting for statin use and nonlinearity. We performed a systematic review of MR studies investigating lipid traits and intracranial aneurysms/SAH. A meta-analysis was not undertaken because studies used overlapping datasets. In parallel, we conducted a one-sample MR analysis of 486,603 UK Biobank participants. Genetic instruments for low-density lipoprotein (LDL), high-density lipoprotein (HDL), total cholesterol (TC), and triglycerides (TG) were derived from published genome-wide association studies. Associations with SAH were adjusted for lipid-lowering therapy. Nonlinear relationships were explored using cubic splines and piecewise MR. While eight MR studies met the inclusion criteria, seven relied on the same outcome cohort. Despite this, these studies showed no consistent direction of effect across lipid traits, suggesting that the estimates were unstable. In the UK Biobank, there was no evidence of an association between genetically predicted lipid traits and SAH for LDL (HR 1.06 [0.64-1.73]), HDL (HR 2.57 [0.42-15.74]), TC (HR 1.06 [0.71-1.60]), or TG (HR 1.05 [0.69-1.59). Results were consistent across different MR methods and sensitivity analyses, including adjustment for lipid-lowering therapy. Current evidence does not support a major association between lipid traits and SAH, with the heterogeneity observed across previous MR studies likely reflecting methodological limitations rather than a consistent biological effect. However, small effects and lipid-independent effects of lipid-lowering therapies cannot be excluded.

Indexed as

LipidsMendelian Randomization AnalysisSubarachnoid HemorrhageBiological Specimen BanksGenome-Wide Association StudyHumansRisk FactorsUnited KingdomLipidsCholesterolIntracranial aneurysmLipidsMendelian randomisationStrokeSubarachnoid haemorrhage

Identifiers

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Registered trials

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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.