Evidence map›Paper›PMID 34949617›Full record

ArticleBMJ open2021

Development and external validation of a dynamic nomogram for delayed cerebral ischaemia after aneurysmal subarachnoid hemorrhage: a study protocol for a multicentre retrospective cohort study.

Ping Hu, Yuntao Li, Hongbo Zhang, Zhongzhou Su, Shancai Xu, Xuesong Li, Xu Gao, Yangfan Liu, Gang Deng, Yang Xu and 2 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

12 authors at 7 institutions in 1 country.

Ping Hu *Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Yuntao Li *Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Hongbo ZhangDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Zhongzhou SuDepartment of Neurosurgery, Huzhou Central Hospital, Huzhou, China.
Shancai XuDepartment of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xuesong LiDepartment of Neurosurgery, Huizhou Third People's Hospital, Huizhou, China.
Xu GaoDepartment of Neurosurgery, General Hospital of Northern Theatre Command, Shenyang, China.
Yangfan LiuDepartment of Neurosurgery, Affiliated Hospital of Panzhihua University, Panzhihua, China.
Gang DengDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Yang XuDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Liguo YeDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China.
Qianxue ChenDepartment of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China chenqx666@whu.edu.cn.ORCID 0000-0002-9413-1030
Wuhan University · CNGeneral Hospital of Shenyang Military Region · CNHarbin Medical University · CNHuizhou Central People's Hospital · CNHuzhou Central Hospital · CNNanchang University · CNPanzhihua University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDelayed cerebral ischaemia (DCI) caused by aneurysmal subarachnoid haemorrhage (aSAH) is the most frequent complication and typically contributes to poor neurological outcome or deterioration of patients' condition. Therefore, early accurate and effective prediction of DCI is urgently needed. This study aims to construct a dynamic nomogram for precisely calculating the risk of DCI in patients with aSAH. Internal validation of this tool is conducted using the training cohort, and independent external validation is completed by using other medical centre datasets. METHODS AND ANALYSIS: This study is a multicentre, retrospective, observational cohort study using data from patients with aSAH. The participants include all adult patients who received surgical treatment in neurosurgery of multiple medical centres from 1 September 2019 to 1 April 2021, including Renmin Hospital of Wuhan University, Huzhou Central Hospital, First Affiliated Hospital of Harbin Medical University, General Hospital of Northern Theatre Command and Affiliated Hospital of Panzhihua University. Clinical information is collected via the electronic medical record system, including demographic data, clinical state on admission and serum laboratory tests. Modified Fisher grade at admission, admission subarachnoid clot and cerebral oedema density, and residual postoperative subarachnoid clot density are determined using the electronic imagine record software. The primary outcome is DCI. ETHICS AND DISSEMINATION: This study protocol was reviewed and approved by the Medical Ethics Committee of Renmin Hospital of Wuhan University, which is the principal affiliation of this study (approval number: WDRM2021-K022). The other Ethics Committees, including Huzhou Central Hospital (approval number: 202108005-01), First Affiliated Hospital of Harbin Medical University (approval number: H202156), General Hospital of Northern Theater Command (approval number: Y2021060) and Affiliated Hospital of Panzhihua University (approval number: 202105002), also approved the protocol. The results of this research will be published in a peer-reviewed medical journal. TRIAL REGISTRATION NUMBER: ChiCTR2100044448.

Indexed as

Brain IschemiaSubarachnoid HemorrhageAdultCohort StudiesHumansMulticenter Studies as TopicNomogramsObservational Studies as TopicRetrospective Studiesneurosurgerystrokesurgery

Identifiers

PMID34949617
PMCPMC8712981
OpenAlexW4200062488

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.