ReviewStroke2025
Blood Biospecimen Recommendations for Research on Stroke Outcomes and Recovery.
Review in Stroke, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive Value of Machine Learning for Poststroke Mortality Risk: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2026Pooled it
- Acupuncture in ischemic stroke: from local neuromodulation to metabolic reprogramming.Frontiers in neurologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
The impact of trait-associated genetic variants on stroke risk is by now a well-established area of research that has continued to accelerate since the introduction of genome-wide technologies. More recently, the field has seen an increasing interest in the biology of stroke recovery. Studies designed to evaluate stroke recovery have unique needs that differ from those in studies of stroke risk and acute stroke outcomes. Here we outline the essential considerations for researchers aiming to develop or contribute to blood biomarker research on stroke recovery. Our recommendations incorporate the latest evidence and technologies that have emerged since the prior International Stroke Genetics Consortium Global Alliance recommendations were published in 2015. Nominated contributors with expertise in stroke recovery and genomics met over the course of 9 months and defined the scope of topics, discussed current practice and standards, and revised the recommendations to reflect consensus achieved through 2 rounds of anonymized surveys. Our writing group defined an updated and expanded set of recommendations applicable to a range of research priorities including (1) elucidating the biology of stroke recovery, (2) determining genetic variations associated with good versus poor stroke outcomes and recovery, (3) identifying druggable (or otherwise therapeutically actionable) gene or protein targets for enhanced recovery, and (4) identifying blood biomarkers that can predict stroke outcomes and recovery. The resulting work offers comprehensive guidance on essential preanalytical considerations for blood biomarker studies, encompassing blood collection timing, specimen processing and storage procedures, and regulatory aspects such as informed consent and data sharing. These guidelines will enable the consistent collection of human data on recovery biology at scale, providing the foundational evidence necessary to drive subsequent clinical translation.
Indexed as
Identifiers
What OpenQuestion holds
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.