Evidence map›Paper›PMID 29323040›Full record

ArticleNeural regeneration research2017

D-dimer may predict poor outcomes in patients with aneurysmal subarachnoid hemorrhage: a retrospective study.

Jun-Hui Liu, Xiang-Kui Li, Zhi-Biao Chen, Qiang Cai, Long Wang, Ying-Hu Ye, Qian-Xue Chen

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Article in Neural regeneration research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

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0cells of the map it votes in
11citing papers in PubMed, 2 pooled it
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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

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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

11 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jun-Hui LiuDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
Xiang-Kui LiDepartment of Neurosurgery, Affiliated Hospital of Shandong Medical College, Linyi, Shandong Province, China.
Zhi-Biao ChenDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
Qiang CaiDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
Long WangDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
Ying-Hu YeDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.
Qian-Xue ChenDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serum biomarkers may play a reliable role in predicting the outcomes of patients with aneurysmal subarachnoid hemorrhage. This study retrospectively analyzed the relationship between serum biomarkers on admission and outcomes in patients with aneurysmal subarachnoid hemorrhage. We recruited 146 patients with aneurysmal subarachnoid hemorrhage who were treated in Renmin Hospital of Wuhan University of China between 1 May 2014 and 30 March 2016. There were 57 males and 89 females included and average age of included patients was 57.03 years old. Serum samples were taken immediately on admission (within 48 hours after initial hemorrhage) and the levels of serum biomarkers were detected. Baseline information, complications, and outcomes at 6 months were recorded. Univariate and multivariate logistic regression analyses were used to explore the relationship between biomarkers and clinical outcomes. Receiver operating characteristic curves were obtained to investigate the possibility of the biomarkers predicting prognosis. Of the 146 patients, 102 patients achieved good outcomes and 44 patients had poor outcomes. Univariate and multivariate analyses showed that high World Federation of Neurosurgical Societies grade, high serum D-dimer levels, and high neurological complications were significantly associated with poor outcomes. Receiver operating characteristic curves verified that D-dimer levels were associated with poor outcomes. D-dimer levels strongly correlated with neurological complications. In conclusion, we suggest that D-dimer levels are a good independent prognostic factor for poor outcomes in patients with aneurysmal subarachnoid hemorrhage.

Indexed as

aneurysmal subarachnoid hemorrhagebiomarkerscomplicationsD-dimerlogistic regression analysisnerve regenerationneural regenerationprognosisserum

Identifiers

PMID29323040
PMCPMC5784349

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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.