ReviewEmergency (Tehran, Iran)2018
Ubiquitin C-Terminal Hydrolase-L1 (UCH-L1) in Prediction of Computed Tomography Findings in Traumatic Brain Injury; a Meta-Analysis.
Review in Emergency (Tehran, Iran), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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Who cites it
6 citing papers in PubMed, 10 citations in OpenAlex.
- Peripheral biomarkers of neuronal damage in neuropsychiatric systemic lupus erythematosus (NPSLE).Frontiers in cellular neuroscience · 2026Review
- Identification and Functional Analysis of E3 Ubiquitin LigaseAnimals : an open access journal from MDPI · 2024Article
- mTBI Biological Biomarkers as Predictors of Postconcussion Syndrome-Review.Brain sciences · 2024Review
- Mortality Predictors for Adult Patients with Mild-to-Moderate Traumatic Brain Injury: A Literature Review.Neurology international · 2024Review
- The expression and clinical value of ubiquitin carboxyl-terminal hydrolase L1 in the blood of neonates with hypoxic ischemic encephalopathy.Translational pediatrics · 2021Article
- Biomarkers for traumatic brain injury: a short review.Neurosurgical review · 2021Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionUbiquitin C-terminal hydrolase-L1 (UCH-L1) is one of the promising candidates, with an acceptable diagnostic value for predicting head computed tomography (CT) scan findings. However, there has been a controversy between studies and still, there is no general overview on this. Therefore, the current systematic review and meta-analysis attempted to estimate the value of UCH-L1 in predicting intracranial lesions in traumatic brain injury.
methodsTwo independent reviewers screened records from the search of four databases Medline, Embase, Scopus and Web of Science. The data were analyzed in the STATA 14.0 statistical program and the findings were reported as a standardized mean difference (SMD), summary receiver performance characteristics curve (SROC), sensitivity, specificity, and diagnostic odds ratio with 95% confidence interval (95% CI).
resultsFinally, the data of 13 articles were entered into the meta-analysis. The mean serum level of UCH-L1 was significantly higher in patients with CT-positive than in TBI patients with CT negative (SMD = 1.67, 95% CI: 1.12 to 2.23, I2 = 98.1%; p <0.0001). The area under the SROC curve for UCH-L1 in the prediction of intracranial lesions after mild TBI was 0.83 (95% CI: 0.80 to 0.86). Sensitivity, specificity and diagnostic odds ratio of serum UCH-L1 was 0.97 (95% CI: 0.92 to 0.99), 0.40 (95% CI: 0.30 to 0.51) and 19.37 (95% CI: 7.25 to 51.75), respectively. When the analysis was limited to assessing the serum level of UCH-L1 within the first 6 hours after mild TBI, its sensitivity and specificity increased to 0.99 (95% CI: 0.94 to 1.0) and 0.44 (95% CI: 0.38 to 0.052), respectively. In addition, the diagnostic odds ratio of 6-hour serum level of UCH-L1 in the prediction of intracranial lesions was 680.87 (95% CI: 50.50 to 9197.97).
conclusionModerate level of evidence suggests that serum/plasma levels of UCH-L1 have good value in prediction of head CT findings. It was also found that evaluation of serum/plasma level of UCH-L1 within the first 6 hours following TBI would increase its predictive value. However, there is a controversy about the best cutoffs of the UCH-L1.
Indexed as
Identifiers
30788389PMC6368936W2909077584What 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.