Evidence map›Paper›PMID 32350763›Full record

ArticleJournal of molecular neuroscience : MN2020

Neuron-Specific Markers and their Correlation with Neurological Scales in Patients with Acute Neuropathologies.

Ainur B Tokshilykova, Zhanslu N Sarkulova, Gulnar B Kabdrakhmanova, Aigul P Utepkaliyeva, Arzikhiya S Tleuova, Zhusupbek K Satenov

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Article in Journal of molecular neuroscience : MN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Ainur B TokshilykovaWest Kazakhstan Medical University named after M. Ospanov, Aktobe, Kazakhstan. tokshilykova@yandex.ru.
Zhanslu N SarkulovaWest Kazakhstan Medical University named after M. Ospanov, Aktobe, Kazakhstan.
Gulnar B KabdrakhmanovaWest Kazakhstan Medical University named after M. Ospanov, Aktobe, Kazakhstan.
Aigul P UtepkaliyevaWest Kazakhstan Medical University named after M. Ospanov, Aktobe, Kazakhstan.
Arzikhiya S TleuovaWest Kazakhstan Medical University named after M. Ospanov, Aktobe, Kazakhstan.
Zhusupbek K SatenovWest Kazakhstan Medical University named after M. Ospanov, Aktobe, Kazakhstan.
Kazakhstan Medical University · KZWest Kazakhstan Marat Ospanov State Medical University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In predicting outcomes in patients with acute brain injury, current practice focuses special attention on neuron-specific proteins that reliably reflect the severity of the lesion. Further studies of molecular markers and their specificity and sensitivity could contribute to broadening the understanding of pathophysiological, diagnostic, and prognostic methods, which is vital to reducing the mortality and disability associated with these critical conditions. The purpose of this study was to assess the biomarkers of brain lesions and their correlative relations with the integral Glasgow Coma Scale (GCS) and National Institutes of Health Stroke Scale (NIHSS) in predicting severity and treatment outcomes in patients with acute neuropathologies. Ninety patients were examined, including those with traumatic brain lesions (16.6%, n = 15), hemorrhagic stroke (52.2%, n = 47), and ischemic stroke (31.1%, n = 28). Patients were classified into two groups according to the outcome of the disease: those who survived (group I, 57.8%, n = 52) and those who died (group II, 42.2%, n = 38). In comparison with the survivors, the group of patients who died demonstrated an initial increase in neuron-specific enolase (NSE) by 1.23 and S100 by 6.45 times, and in dynamics by 1.5 and 7.4 times. A significant correlation with NIHSS and GCS was determined for NSE (r = 0.1149; P = 0.3073 and r = -0.0758; P = 0.5011) and for S100 (r = 0.3243; P = 0.0031 and r = -0.2661; P = 0.0163). The receiver operating characteristic (ROC) curves were 0.828 for S100 and 0.712 for NSE. The degree of sensitivity and specificity of the markers was studied. Increased levels of S100 and NSE correlated with NIHSS and GCS, with sensitivity of 80.77 and 63.46% and specificity of 42.11 and 73.68%, respectively, and were predictive of adverse disease outcome. The survival analysis showed that early detection of these biomarkers enables the timely prognostication of the progression of secondary brain injury and aids in implementing treatment.

Indexed as

AdultAgedAged, 80 and overBiomarkersBrain InjuriesFemaleGlasgow Coma ScaleHumansMaleMiddle AgedPhosphopyruvate HydrataseS100 ProteinsStrokeTreatment OutcomeBiomarkersENO2 protein, humanPhosphopyruvate HydrataseS100 ProteinsAcute neuropathologiesIntegral scalesNeuromarkersPrognosisSensitivitySpecificitySurvival

Identifiers

PMID32350763
OpenAlexW3021540045

What OpenQuestion holds

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Registered trials

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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.