SynthesisCritical care (London, England)2009
S-100B and neuron-specific enolase as predictors of neurological outcome in patients after cardiac arrest and return of spontaneous circulation: a systematic review.
Synthesis in Critical care (London, England), 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01102153 (NSE as an Outcome Predictor of Therapeutical Hypothermia After Survived Sudden Cardiac Death), which is not on this map. Cited by 41 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.
NSE as an Outcome Predictor of Therapeutical Hypothermia After Survived Sudden Cardiac Death
Who cites it
41 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Biomarkers in septic encephalopathy: a systematic review of clinical studies.Revista Brasileira de terapia intensiva · 2013Pooled it
- Targeting two different levels of both arterial carbon dioxide and arterial oxygen after cardiac arrest and resuscitation: a randomised pilot trial.Intensive care medicine · 2018Trial
- Trial
- Trial
- Invasive versus non-invasive cooling after in- and out-of-hospital cardiac arrest: a randomized trial.Clinical research in cardiology : official journal of the German Cardiac Society · 2013Trial
- Serial plasma proenkephalin A 119-159 and dipeptidyl peptidase 3 after cardiac arrest: association with long-term neurological outcome.Resuscitation plus · 2026Article
- Age-dependent cerebral oxygenation and brain injury in pediatric cardiac surgery: vulnerability of infants aged ≤6 months.Journal of intensive care · 2026Article
- The molecular ICU: a primer on omics, informatics and the future of precision critical care.Critical care (London, England) · 2026Review
- Base deficit in the prognosis prediction of in-/out-of-hospital cardiac arrest patients.Internal and emergency medicine · 2026Article
- Biological Plausibility of Using Plasma Amino Acid Profile Determination as a Potential Biomarker for Pediatric Patients with Mild Traumatic Brain Injuries.Neurology international · 2025Article
- Biomarkers of sepsis associated encephalopathy: a bibliometric and visualized analysis.Frontiers in neurology · 2025Article
- Article
- Kallistatin deficiency exacerbates neuronal damage after cardiac arrest.Scientific reports · 2024Article
- Post Cardiac Arrest Care in the Cardiac Intensive Care Unit.Current cardiology reports · 2024Review
- Oxidative Stress and Indicators of Brain Damage Following Pediatric Heart Surgery.Antioxidants (Basel, Switzerland) · 2022Article
- Biomarkers Facilitate the Assessment of Prognosis in Critically Ill Patients with Primary Brain Injury: A Cohort Study.International journal of environmental research and public health · 2020Article
- Prognostic Abilities of Serial Neuron-Specific Enolase and Lactate and their Combination in Cardiac Arrest Survivors During Targeted Temperature Management.Journal of clinical medicine · 2020Article
- Diagnostic Value of Serum Biomarkers for Differentiating Central and Peripheral Causes of Acute Vertigo.Frontiers in medicine · 2020Article
- Observational
- The Role of Danger Signals in the Pathogenesis and Perpetuation of Critical Illness.American journal of respiratory and critical care medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionNeurological prognostic factors after cardiopulmonary resuscitation (CPR) in patients with cardiac arrest (CA) as early and accurately as possible are urgently needed to determine therapeutic strategies after successful CPR. In particular, serum levels of protein neuron-specific enolase (NSE) and S-100B are considered promising candidates for neurological predictors, and many investigations on the clinical usefulness of these markers have been published. However, the design adopted varied from study to study, making a systematic literature review extremely difficult. The present review focuses on the following three respects for the study design: definitions of outcome, value of specificity and time points of blood sampling.
methodsA Medline search of literature published before August 2008 was performed using the following search terms: "NSE vs CA or CPR", "S100 vs CA or CPR". Publications examining the clinical usefulness of NSE or S-100B as a prognostic predictor in two outcome groups were reviewed. All publications met with inclusion criteria were classified into three groups with respect to the definitions of outcome; "dead or alive", "regained consciousness or remained comatose", and "return to independent daily life or not". The significance of differences between two outcome groups, cutoff values and predictive accuracy on each time points of blood sampling were investigated.
resultsA total of 54 papers were retrieved by the initial text search, and 24 were finally selected. In the three classified groups, most of the studies showed the significance of differences and concluded these biomarkers were useful for neurological predictor. However, in view of blood sampling points, the significance was not always detected. Nevertheless, only five studies involved uniform application of a blood sampling schedule with sampling intervals specified based on a set starting point. Specificity was not always set to 100%, therefore it is difficult to indiscriminately assess the cut-off values and its predictive accuracy of these biomarkers in this meta analysis.
conclusionsIn such circumstances, the findings of the present study should aid future investigators in examining the clinical usefulness of these markers and determination of cut-off values.
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