ArticleNeurosurgical review2022
A nomogram to predict the risk of postoperative intracranial rebleeding in patients with spontaneous intracranial hematoma.
Article in Neurosurgical review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- In situ implantable DNA hydrogel for diagnosis and therapy of postoperative rehemorrhage following intracerebral hemorrhage surgery.Science advances · 2024Article
- A Prospective Study to Examine the Association of the Foramen Ovale Size with Intraluminal Pressure of Pear-Shaped Balloon in Percutaneous Balloon Compression for Trigeminal Neuralgia.Pain and therapy · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 1 institution in 1 country.
Funding
Abstract
The 30-day mortality rate of spontaneous cerebral hemorrhage (ICH) is approximately 30-50%. Surgery may improve the prognosis of patients with severe ICH. However, ICH survivors after surgery still face the risks of postoperative intracranial rebleeding (PIB), and clinical tools that accurately predict the risk of PIB occurrence are not available. Therefore, a retrospective study was performed. The population was divided into two groups according to the occurrence of PIB. Univariate and multivariate logistic regression analyses were performed to screen risk factors for PIB. Next, an early PIB risk nomogram prediction model was constructed. In addition, the impact of PIB on the prognosis of ICH was evaluated. In total, 150 ICH patients were continuously enrolled in this study; 21 patients suffered from PIB, and the overall incidence of PIB was 14.0% (21/150). Coronary heart disease history, a lower GCS score, and subarachnoid hemorrhage absence were screened as risk factors for early PIB. The early PIB risk nomogram showed good calibration and discrimination with a concordance index of 0.807 (95% confidence interval (CI), 0.715-0.899), which was confirmed to be 0.788 through bootstrapping validation. In addition, a significant difference in discharged GOS scores (P = 0.043) was observed between the PIB group and the n-PIB group. These results showed that a history of coronary heart disease, a lower GCS score, and absence of subarachnoid hemorrhage were risk factors for early PIB. In addition, the early PIB risk nomogram prediction model exhibits good discrimination and calibration. The occurrence of PIB could reduce the prognosis of ICH patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.