Evidence map›Paper›PMID 32078072›Full record

SynthesisNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2020

The accuracy of aneurysm size in predicting rebleeding after subarachnoid hemorrhage: a meta-analysis.

Zhiyuan Yu, Jun Zheng, Rui Guo, Mou Li, Hao Li, Lu Ma, Chao You

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. A nomogram to predict rupture risk of middle cerebral artery aneurysm.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
    Article
  3. Article
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

7 authors at 1 institution in 1 country.

Zhiyuan YuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jun ZhengDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Rui GuoDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Mou LiDepartment of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Hao LiDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Lu MaDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China. alex80350305@126.com.
Chao YouDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China. youchaowchscu@163.com.ORCID http://orcid.org/0000-0002-9489-6084
Sichuan University · CN

Funding

National Key R&D Program of China 2018YFA 0108604National Natural Science Foundation of China 81801186Outstanding Subject Development 135 Project of West China Hospital, Sichuan University ZY2016102
6 · The paper itself

Abstract

backgroundAneurysmal subarachnoid hemorrhage (SAH) is a severe cerebrovascular disease. Rebleeding is an independent predictor of unfavorable outcome after aneurysmal SAH. However, the accuracy of aneurysm size for predicting rebleeding after aneurysmal SAH is still unclear. Hence, we conducted this meta-analysis to evaluate the predictive accuracy of large aneurysm for rebleeding after SAH.

methodsWe performed a literature search in PubMed and Embase. Original studies about aneurysm size and rebleeding after SAH were included. Two reviewers completed data extraction and quality assessment. Pooled sensitivity, specificity, and their 95% confidence intervals (CIs) of large aneurysm for predicting rebleeding were calculated and shown in a forest plot. The overall accuracy of large aneurysm for predicting rebleeding after SAH was shown using a summary receiver operating characteristic (SROC) curve. Publication bias were assessed using Deeks' funnel plot.

resultsA total of ten studies with 3889 patients met eligibility criteria and were included in this meta-analysis. The pooled sensitivity and specificity of large aneurysm for predicting rebleeding were 0.39 (95% CI 0.25-0.56) and 0.75 (95% CI 0.67-0.82), respectively. The area under SROC curve was 0.67 (95% CI 0.62-0.71). Deeks' funnel plot did not show obvious publication bias among included studies in this meta-analysis.

conclusionThe specificity of large aneurysm for predicting rebleeding after SAH is relatively high. However, its overall accuracy for predicting aneurysm rebleeding is not very satisfying. A comprehensive model should be developed to improve the accuracy of rebleeding prediction after SAH.

Indexed as

Intracranial AneurysmSubarachnoid HemorrhageHumansROC CurveAneurysm sizeRebleedingSubarachnoid hemorrhage

Identifiers

PMID32078072
OpenAlexW3007409125

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.