ArticleNeurosurgical review2026
The clinical trials landscape of hydrocephalus: a scoping review of therapeutic priorities, innovation trends, and research gaps.
Article in Neurosurgical review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hydrocephalus includes a diverse group of disorders with different causes, symptoms, and treatment options. Despite progress in surgery and diagnostics, the overall understanding of clinical research in hydrocephalus remains limited. We performed a scoping review to systematically examine registered clinical trials, aiming to identify trends in treatment approaches, research areas, and gaps in the current evidence. A comprehensive search of ClinicalTrials.gov was conducted to identify all registered clinical trials related to hydrocephalus. Trials were included regardless of study design, phase, or geographic location. Extracted variables included study characteristics, hydrocephalus subtype, intervention type, research domain, recruitment status, and geographic distribution. Trials were categorized into interventional, device-focused, and biomarker/imaging domains, and analyzed descriptively to assess temporal trends, global distribution, and research priorities. A total of 90 trial entries were identified. The majority of studies focused on adult populations (84.4%), with normal pressure hydrocephalus (NPH) representing the predominant subtype (71.1%). Interventional trials accounted for 60.0% of studies, followed by biomarker and imaging investigations (25.6%) and device-focused trials (14.4%). Surgical and procedural interventions were most common (43.3%), while pharmacologic therapies were limited (7.8%). Clinical trial activity has increased substantially over time, with nearly half of all trials (47.8%) registered between 2020 and 2026. Geographic distribution was heavily concentrated in high-income regions, particularly Europe (46.5%) and North America (32.3%), with limited representation from other regions. Most studies were conducted within a single country (91.1%), with minimal international collaboration. At the time of analysis, 30% of trials were reported as completed status, while 31.1% remained active. The overall trial completion status was 67.5%. The landscape of hydrocephalus clinical trials is rapidly growing but still uneven, mainly focusing on NPH studies and device- and procedure-based treatments, with little development in non-surgical therapies, reflecting the predominantly structural nature of hydrocephalus. Research efforts are mostly in high-income areas with limited global collaboration. These results reveal important gaps in treatment development, trial design, and geographic diversity, emphasizing the need for a more balanced and worldwide research approach to improve hydrocephalus management.
Indexed as
Identifiers
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Registered trials
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.