Evidence map›Paper›PMID 42081095›Full record

SynthesisNeuroradiology2026

Endovascular treatment versus microsurgical clipping in elderly patients with aneurysmal subarachnoid hemorrhage: A systematic review and meta-analysis.

George Brown, Danesh Sivanesan, Siddarth Kannan, Conor Gillespie, Isabel Siow, Rory Fairhead, Marco Mancuso-Marcello, Paul Bhogal, Nivedh Dinesh, Bolem Nagarjun and 13 more

Abstract readSystematic ReviewMeta-AnalysisComparative Study
PubMed Publisher
In one paragraph

Synthesis in Neuroradiology, 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

23 authors.

George Brown *Department of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Danesh Sivanesan *Department of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Siddarth Kannan *Department of Neurosurgery, Walton Centre, Liverpool, United Kingdom.
Conor GillespieDepartment of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom.
Isabel SiowDepartment of Neurology, National Neuroscience Institute, Singapore, Singapore.
Rory FairheadDepartment of Interventional Neuroradiology, The Royal London Hospital, Barts NHS Trust, London, United Kingdom.
Marco Mancuso-MarcelloDepartment of Interventional Neuroradiology, The Royal London Hospital, Barts NHS Trust, London, United Kingdom.
Paul BhogalDepartment of Interventional Neuroradiology, The Royal London Hospital, Barts NHS Trust, London, United Kingdom.
Nivedh DineshDivision of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore.
Bolem NagarjunDivision of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore.
Shiong Wen LowDivision of Neurosurgery, Ng Teng Fong General Hospital, National University Health System, Singapore, Singapore.
Ira SunDivision of Neurosurgery, Ng Teng Fong General Hospital, National University Health System, Singapore, Singapore.
Jia Xu LimDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Anil GopinathanDivision of Interventional Radiology, Department of Diagnostic Imaging, National University Health System, Singapore, Singapore.
Tze Phei KeeDepartment of Neuroradiology, National Neuroscience Institute, Singapore, Singapore.
Wickly LeeDepartment of Neuroradiology, National Neuroscience Institute, Singapore, Singapore.
Nicole KeongDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Tien Meng CheongDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Tseng Tsai YeoDivision of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore.
Vincent Diong Weng NgaDivision of Neurosurgery, Department of Surgery, National University Health System, Singapore, Singapore.
Julian HanDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Ramez KirollosDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore.
Keng Siang LeeDepartment of Neurosurgery, National Neuroscience Institute, Singapore, Singapore. mrkengsianglee@gmail.com.ORCID http://orcid.org/0000-0003-2308-0579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe optimal treatment strategy for elderly patients with aneurysmal subarachnoid hemorrhage (aSAH) remains uncertain. While endovascular coiling and surgical clipping are both established interventions, age-related physiological vulnerability and comorbidity burden may alter the risk-benefit profile. We performed a systematic review and meta-analysis to compare outcomes between these two modalities in elderly patients with aSAH.

methodsSearches of PubMed, Embase, Scopus, and Cochrane CENTRAL were conducted from inception to 20th July 2025. The definition of elderly patients aged ≥ 60 years was adopted as per the World Health Organization. Primary outcomes were favorable functional outcome (modified Rankin Scale [mRS] 0-2) and mortality. Secondary outcomes were delayed cerebral ischemia (DCI), delayed hydrocephalus and rebleed.

resultsTwenty studies (2 randomized controlled trials, 18 observational) were included. A total of 44,526 patients were included with 24,724 aneurysms clipped and 19,802 coiled. The mean age was 72.1 years in the coiling cohort and 72.8 years in the clipping cohort. Aneurysm location was anterior in 94% of cases. Hypertension was more prevalent in the coiling cohort (OR 1.25, 95% CI 1.03-1.51; p = 0.024). There was no association between poor-grade WFNS score 4-5 and treatment modality (OR = 0.89, 95% CI: 0.62-1.27; p = 0.471). There was no significant difference between coiling and clipping in achieving favorable outcomes (OR 1.07, 95% CI 0.75-1.52; p = 0.712) or mortality (OR 0.89, 95% CI 0.64-1.23; p = 0.471). Rates of delayed cerebral ischemia, hydrocephalus, and rebleeding were also comparable.

conclusionsCurrent evidence, derived from mainly observational studies, does not suggest difference in functional outcomes nor mortality between endovascular coiling and surgical clipping in elderly patients with aSAH. However, significant selection bias, variability in age definitions and the lack of randomized comparisons should be considered when interpreting these findings.

Indexed as

Endovascular ProceduresIntracranial AneurysmMicrosurgerySubarachnoid HemorrhageAgedHumansSurgical InstrumentsTreatment OutcomeAneurysmal subarachnoid hemorrhageClippingCoilingElderlyEndovascular therapyMeta-analysis

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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.