Evidence map›Paper›PMID 33877464›Full record

ArticleNeurosurgical review2021

A nomogram to predict the risk of early postoperative ischemic events in patients with spontaneous intracranial hematoma.

Junhua Yang, Kaiwen Wang, Qingyuan Liu, Shaohua Mo, Jun Wu, Shuzhe Yang, Rui Guo, Yi Yang, Jiaming Zhang, Yang Liu and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in Neurosurgical review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Development and validation of a clinical prediction model for prognostic factors in patients with primary pontine hemorrhage.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2024
    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

12 authors at 1 institution in 1 country.

Junhua YangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Kaiwen WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Qingyuan LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Shaohua MoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Jun WuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Shuzhe YangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Rui GuoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Yi YangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Jiaming ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Yang LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Yong CaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China.
Shuo WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, NO.119 Nansihuanxilu, Fengtai District, Beijing, 100160, People's Republic of China. captain9858@126.com.ORCID http://orcid.org/0000-0003-4919-5390
Capital Medical University · CN

Funding

Mega-projects of Science Research for the 10th Five-Year Plan (CN) No.2016YFC1301800National Natural Science Foundation of China 81471210 and 81671129
6 · The paper itself

Abstract

Spontaneous intracranial hematoma (ICH) is the second leading cause of stroke and has a high risk of postoperative ischemic events (PIEs). But, the evidence on PIEs in ICH patients still lacks. Therefore, a retrospective study was carried out to screen the risk factors for PIEs and construct a visual predictive model. This was a retrospective study whose population were divided into two groups based on the occurrence of PIEs. Univariate logistic regression analysis was used to determine factors associated with PIEs. Multifactorial logistic regression analysis was used to screen risk factors and construct the early PIEs risk nomogram. In addition, impact of PIEs on patient prognosis and surgery related costs was assessed. Out of 122 ICH patients, 24 (19.7%) were diagnosed with PIEs. Coronary heart disease history, ischemic stroke history, regular shaped hematoma and platelet number were identified as risk factors for early PIEs. Early PIEs risk nomogram showed good calibration and discrimination of the data with concordance index of 0.846 (95% confidence interval, 0.747-0.945) which was confirmed to be 0.827 through bootstrapping validation. In addition, there was statistical difference in discharged Glasgow Coma Scale score (P = 0.046) and surgery related costs (p = 0.031) between PIEs group and nPIEs group. These results showed the early PIEs risk nomogram was accurate for prediction risks of PIEs and the occurrence of PIEs affects prognosis of patients, and increases surgery related costs.

Indexed as

Cerebral HemorrhageNomogramsHematomaHumansPrognosisRetrospective StudiesIschemiaNomogramPrognosisSpontaneous intracranial hematomaStroke

Identifiers

PMID33877464
OpenAlexW3154869371

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.