SynthesisNeurosurgical review2022
The prognostic significance of biomarkers in cerebrospinal fluid following severe traumatic brain injury: a systematic review and meta-analysis.
Synthesis in Neurosurgical review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Prediction models for functional outcomes in prolonged disorders of consciousness: a systematic review and meta-analysis.Journal of neuroengineering and rehabilitation · 2025Pooled it
- Clinical Prognostic Modeling and Paired Blood-CSF Metabolomic Profiling for Outcome Prediction in Isolated Moderate-to-Severe Traumatic Brain Injury: Implications for Neurocritical Care Management.Journal of clinical medicine · 2026Article
- Inflammatory profiling for precision neurorehabilitation after traumatic brain injury and stroke: a narrative review.Frontiers in neurology · 2026Review
- Biomarkers of traumatic brain injury: narrative review and future prospects in neurointensive care.Frontiers in medicine · 2025Review
- A Minimally-Invasive Method for Serial Cerebrospinal Fluid Collection and Injection in Rodents with High Survival Rates.Biomedicines · 2023Article
- The evolving role of extracellular vesicles (exosomes) as biomarkers in traumatic brain injury: Clinical perspectives and therapeutic implications.Frontiers in aging neuroscience · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
After severe traumatic brain injury (sTBI) proteins, neurotrophic factors and inflammatory markers are released into the biofluids. This review and meta-analysis searched the literature for prognostic candidate cerebrospinal fluid markers and their relation to sTBI patient outcome. A systematic search of the literature was carried out across PubMed, EMBASE, PubMed Central (PMC), and Cochrane Central Library. Biomarker concentrations were related to the Glasgow Outcome Scale dichotomized into favorable and unfavorable outcomes. When a biomarker was reported in ≥ 3 studies, it was included in meta-analysis. The search returned 1527 articles. After full-text analysis, 54 articles were included, 34 from the search, and 20 from the reference lists. Of 9 biomarkers, 8 were significantly different compared to controls (IL-4, IL-6, IL-8, IL-10, TNFα, sFas, BDNF, and cortisol). Of these, 5 were significantly increased in sTBI patients with unfavorable outcome (IL-6, IL-8, IL-10, TNFα, and cortisol), compared to patients with favorable outcome. This review demonstrated a correlation between 5 biomarkers and clinical outcome in sTBI patients. The paucity of included studies, however, makes it difficult to extrapolate further on this finding.
Indexed as
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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.