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The goal of this observational study is to To investigate the ability of Noncontrast Computed Tomography to predict clinical prognosis in Intracerebral Hemorrhage.
The main question it aims to answer is:How to judge the prognosis of patients with cerebral hemorrhage by CT image reading at admission.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| The prognosis of cerebral hemorrhage is good at 90 days | |||
| The prognosis of cerebral hemorrhage is poor at 90 days |
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| Measure | Description | Time Frame |
|---|---|---|
| The prognosis of cerebral hemorrhage at 90 days | The Modified Rankin Scale was used to evaluate the prognosis of the patients, and MRS Score >2 indicated poor prognosis | 90 days |
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Inclusion Criteria:
Exclusion Criteria:
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Patients with cerebral hemorrhage who met the criteria and were admitted continuously within the time period
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 41181845 | Derived | Wei L, Wu B, Guo T, Ru D, Gao C, Wu J, Wu A, Yue H, Hu J, Wei L, Geng Z, Wang K. Development and validation of a machine learning-based model for 90-day prognosis outcome in spontaneous intracerebral hemorrhage patients based on non-contrast computed tomography: a multicenter retrospective observational study. EClinicalMedicine. 2025 Sep 12;88:103507. doi: 10.1016/j.eclinm.2025.103507. eCollection 2025 Oct. |
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| ID | Term |
|---|---|
| D002543 | Cerebral Hemorrhage |
| ID | Term |
|---|---|
| D020300 | Intracranial Hemorrhages |
| D002561 | Cerebrovascular Disorders |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| D009422 | Nervous System Diseases |
| D014652 | Vascular Diseases |
| D002318 | Cardiovascular Diseases |
| D006470 | Hemorrhage |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |