Evidence map›Paper›PMID 37020068›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2023

A visualized MAC nomogram online predicts the risk of three-month mortality in Chinese elderly aneurysmal subarachnoid hemorrhage patients undergoing endovascular coiling.

Zhou Zhou, Wei Lu, Cheng Zhang, Lan Xiang, Liang Xiang, Chen Chen, BiJun Wang, LeHeng Guo, YaJie Shan, XueMei Li and 4 more

Erratum issuedOpen access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 1 country.

Zhou Zhou *Department of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
Wei Lu *School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, China.
Cheng Zhang *Department of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China.
Lan XiangDepartment of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China.
Liang XiangDepartment of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China.
Chen ChenDepartment of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
BiJun WangClinical Research Institute, Hengyang Medical School, The Affiliated Nanhua Hospital, University of South China, Hengyang, China.
LeHeng GuoDepartment of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China.
YaJie ShanDepartment of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China.
XueMei LiDepartment of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China.
Zheng ZhaoDepartment of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China.
JianJun ZouDepartment of Clinical Pharmacology, Nanjing First Hospital, Nanjing Medical University, Nanjing, China. zoujianjun100@126.com.ORCID http://orcid.org/0000-0003-0886-3153
XiaoMing DaiDepartment of Hepatobiliary Surgery, Hengyang Medical School, The First Affiliated Hospital, University of South China, Hengyang, China. 357442391@qq.com.
ZhiHong ZhaoDepartment of Neurology, The First Affiliated Hospital (People's Hospital of Hunan Province), Hunan Normal University, Changsha, China. zhaozhihong51818@hotmail.com.
Hunan Normal University · CNChina Pharmaceutical University · CNFirst Affiliated Hospital of University of South China · CNNanjing Medical University · CNUniversity of South China · CN

Funding

Hunan innovation guidance grant of clinical medical technology 2020SK50920Jiangsu Pharmaceutical Association A2021024Jiangsu Pharmaceutical Association H202108Jiangsu Pharmaceutical Association Q202202National Natural Science Foundation of China 82173899Natural Science Foundation of Hunan Province 2021JJ70021
6 · The paper itself

Abstract

objectiveAneurysmal subarachnoid hemorrhage (aSAH) is an aggressive disease with higher mortality rate in the elderly population. Unfortunately, the previous models for predicting clinical prognosis are still not accurate enough. Therefore, we aimed to construct and validate a visualized nomogram model to predict online the 3-month mortality in elderly aSAH patients undergoing endovascular coiling.

methodWe conducted a retrospective analysis of 209 elderly aSAH patients at People's Hospital of Hunan Province, China. A nomogram was developed based on multivariate logistic regression and forward stepwise regression analysis, then validated using the bootstrap validation method (n = 1000). In addition, the performance of the nomogram was evaluated by various indicators to prove its clinical value.

resultMorbid pupillary reflex, age, and using a breathing machine were independent predictors of 3-month mortality. The AUC of the nomogram was 0.901 (95% CI: 0.853-0.950), and the Hosmer-Lemeshow goodness-of-fit test showed good calibration of the nomogram (p = 0.4328). Besides, the bootstrap validation method internally validated the nomogram with an area under the curve of the receiver operator characteristic (AUROC) of 0.896 (95% CI: 0.846-0.945). Decision curve analysis (DCA) and clinical impact curve (CIC) indicated the nomogram's excellent clinical utility and applicability.

conclusionAn easily applied visualized nomogram model named MAC (morbid pupillary reflex-age-breathing machine) based on three accessible factors has been successfully developed. The MAC nomogram is an accurate and complementary tool to support individualized decision-making and emphasizes that patients with higher risk of mortality may require closer monitoring. Furthermore, a web-based online version of the risk calculator would greatly contribute to the spread of the model in this field.

Indexed as

NomogramsSubarachnoid HemorrhageAgedAggressionEast Asian PeopleHumansRetrospective StudiesAneurysm subarachnoid hemorrhageEndovascular coilingMortalityNomogramPrediction model

Identifiers

PMID37020068
PMCPMC10075504
OpenAlexW4362604267

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.