ArticleFrontiers in surgery2022
Clinical Predictive Models for Delayed Cerebral Infarction After Ruptured Intracranial Aneurysm Clipping for Patients: A Retrospective Study.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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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.
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2 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.
- A comparative study of the risk of delayed cerebral ischemia after clipping and coiling of ruptured intracranial aneurysms: a systematic review and meta-analysis.Frontiers in neurologyPooled it
- Risk factors and the role of intraoperative hypotension in cerebral infarction after microsurgical clipping of intracranial aneurysms: a retrospective case-control study.Neurosurgical review · 2025Article
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8 authors at 3 institutions in 1 country.
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Abstract
Objective: A nomogram was developed in this work to predict the probability of delayed cerebral infarction (DCI) after ruptured intracranial aneurysms (RIA) clipping. Methods: Clinical data of patients with intracranial aneurysm were obtained from the neurosurgery department of the First Affiliated Hospital of Chongqing Medical University from January 2016 to December 2020. A total of 419 patients receiving surgery of ruptured intracranial aneurysm clipping were included and a total of 37 patients with DCI were set as the observation group. The control group consisted of 382 patients without DCI. Risk factors of DCI were screened by univariate and multivariate logistic regression analysis and included in the nomogram. Results: Univariate analysis showed that female ( Conclusion: The well-established nomogram is expected to be an effective tool to predict the occurrence of DCI after intracranial ruptured aneurysm and can be used to assist clinicians to develop more effective treatment strategies and improve the prognosis of patients.
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