Evidence map›Paper›PMID 37786884›Full record

ArticleIbrain2022

Risk factors and risk nomogram model of reoperation for hemorrhages after severe traumatic brain injury craniotomy.

Tao Yang, Jie Yu, Hao Shen, Chao-Zhi Yang, Ping Zhang, Yi Li, Hai-Tao Wu

Open access · goldAbstract read
In one paragraph

Article in Ibrain, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

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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.

Tao YangDepartment of Neurosurgery Affiliated Hospital of Zunyi Medical University Zunyi Guizhou China.
Jie YuDepartment of Neurosurgery Affiliated Hospital of Zunyi Medical University Zunyi Guizhou China.
Hao ShenDepartment of Neurosurgery Affiliated Hospital of Zunyi Medical University Zunyi Guizhou China.
Chao-Zhi YangDepartment of Neurosurgery Affiliated Hospital of Zunyi Medical University Zunyi Guizhou China.
Ping ZhangDepartment of Neurosurgery Affiliated Hospital of Zunyi Medical University Zunyi Guizhou China.
Yi LiDepartment of Neurosurgery Affiliated Hospital of Zunyi Medical University Zunyi Guizhou China.
Hai-Tao WuDepartment of Neurosurgery Affiliated Hospital of Zunyi Medical University Zunyi Guizhou China.
Zunyi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to explore the risk factors associated with reoperation for postoperative hemorrhages after severe traumatic brain injury (sTBI) craniotomy and establish a risk nomogram model. Methods: A retrospective case-control study was performed. Overall, 367 patients who were diagnosed with sTBI and fulfilled the inclusion criteria were enrolled from the Department of Neurosurgery of the Affiliated Hospital of Zunyi Medical University between January 2015 and December 2020. They were divided into a reoperation group and a non-reoperation group according to whether they underwent reoperation for hemorrhages. Using univariate binary logistic regression analysis, the possible risk factors were screened. Subsequently, the independent risk factors of reoperation for postoperative hemorrhages were screened using the forward step method of multivariate binary logistic regression analysis, and a corresponding nomogram model was constructed. The receiver operative characteristic (ROC) curve was used to evaluate the reliability of the model. Finally, 30% of the data were randomly selected for internal verification of the model. Results: The reoperation rate for hemorrhage after sTBI emergency craniotomy was 14.71% (54/367); multivariate logistic regression analysis showed that multiple hemorrhages (odds ratio [OR] = 4.38, 95% confidence interval [CI]: 1.815-10.587, Conclusions: Taken together, the results of our study reveal that multiple preoperative intracranial hemorrhages, day and night operation, operation duration, and abnormal fluctuation of intraoperative blood pressure were independent risk factors for postoperative bleeding and reoperation for sTBI. Through the analysis of the influencing factors, a prediction model for the risk of bleeding and reoperation after craniocerebral trauma was developed. Compared with other relevant studies, this prediction model has good prediction efficiency and can be used to predict the occurrence of bleeding and reoperation after sTBI in patients.

Indexed as

nomogram modelpostoperative hemorrhagesreoperationrisk factorssevere traumatic brain injury

Identifiers

PMID37786884
PMCPMC10529335
OpenAlexW4223977762

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.