Evidence map›Paper›PMID 32860455›Full record

ArticleJournal of clinical laboratory analysis2020

Development and validation of a predictive model for the prognosis in aneurysmal subarachnoid hemorrhage.

Xiang Lai, Wenbo Zhang, Min Ye, Xiaoping Liu, Xingda Luo

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Xiang LaiDepartment of Neurosurgery, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-Sen University, Meizhou, China.ORCID https://orcid.org/0000-0002-7667-1199
Wenbo ZhangDepartment of Neurosurgery, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-Sen University, Meizhou, China.
Min YeDepartment of Neurosurgery, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-Sen University, Meizhou, China.
Xiaoping LiuDepartment of Neurosurgery, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-Sen University, Meizhou, China.
Xingda LuoDepartment of Neurosurgery, Meizhou People's Hospital (Huangtang Hospital), Meizhou Hospital Affiliated to Sun Yat-Sen University, Meizhou, China.

Funding

Research and Education Project of Meizhou People's Hospital PY-2019003
6 · The paper itself

Abstract

backgroundThis study was to conduct a predictive model for the prognosis of aneurysmal subarachnoid hemorrhage (aSAH) and validate the clinical data.

methodsA total of 235 aSAH patients were enrolled in this study, dividing into the favorable or poor prognosis groups based on Modified Rankin Scale (mRS) at 3 months postoperatively. Multivariate analysis was assessed using binary Logistic regression and Fisher discriminant analysis. The receiver operating characteristic (ROC) curve was used to determine the cut-off value.

resultsOur findings showed that the high Glasgow Coma Scale (GCS) score 24-hour after surgery reduced the risk of poor prognosis, and the surgical clipping and elevated neutrophil-lymphocyte ratio (NLR) increased the risk of poor prognosis. The discriminant function was V = 0.881 × GCS score - 0.523 × NLR - 0.422 × therapeutic approach, and V = -0.689 served as a cut-off value. When V ≥ -0.689, the good prognosis was considered among these patients with aSAH. The correctness for predicting the prognostic outcomes by self-validation was 85.11%.

conclusionThis predictive model established by a discriminant analysis is a useful tool for predicting the prognostic outcomes of aSAH patients, which may help clinicians identify patients at high risk for poor prognosis and optimize treatment after surgery.

Indexed as

Subarachnoid HemorrhageAgedDiscriminant AnalysisFemaleGlasgow Coma ScaleHumansLeukocyte CountMaleMiddle AgedModels, StatisticalPrognosisReproducibility of ResultsRetrospective StudiesROC Curveaneurysmal subarachnoid hemorrhagediscriminant analysisprognosisvalidation

Identifiers

PMID32860455
PMCPMC7755773

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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.