Evidence mapPaperPMID 39227406Full record

ArticleNeurosurgical review2024

Associations of serum Dickkopf-1 levels with disease severity and 90-day Prognosis after spontaneous intracerebral hemorrhage: results from the prospective cohort study.

Xiaoyu Wu, Jin Liu, Da Tian, Junxia Chen, Huguang Li

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Article in Neurosurgical review, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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.

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5 · Who and what money

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5 authors.

Xiaoyu Wu *Department of Neurosurgery, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15 Dazhong Road, Lishui, 323000, China.
Jin Liu *Department of Neurosurgery, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15 Dazhong Road, Lishui, 323000, China.
Da TianDepartment of Neurosurgery, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15 Dazhong Road, Lishui, 323000, China.
Junxia ChenDepartment of Neurosurgery, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15 Dazhong Road, Lishui, 323000, China.
Huguang LiDepartment of Neurosurgery, The Sixth Affiliated Hospital of Wenzhou Medical University, No. 15 Dazhong Road, Lishui, 323000, China. lihuguang1982@163.com.

Funding

City-level public welfare technology application research project of Lishui 2021SJZC086Medical and Health Research Project of Zhejiang province 2023XY260
6 · The paper itself

Abstract

Dickkopf-1 (DKK-1) may be involved in inflammatory response and secondary brain injury after acute brain injury. We gauged serum DKK-1 levels and further assessed its correlation with disease severity and investigated its predictive value for 90-day prognosis in patients with spontaneous intracerebral hemorrhage (sICH). Serum DKK-1 levels were measured in 128 sICH patients and 128 healthy controls. The severity of sICH was assessed using the Glasgow Coma Scale (GCS) scores and hematoma volumes. Poor prognosis was referred to as a Glasgow Outcome Scale (GOS) score of 1-3 at 90 days after stroke. Multivariate analysis was performed to identify associations of serum DKK-1 levels with disease severity, early neurological deterioration (END) and poor prognosis. Receiver operating characteristic curve (ROC) was built to investigate the prognostic predictive capability. The serum DKK-1 levels of patients were significantly higher than those of controls (median, 4.74 ng/mL versus 1.98 ng/mL; P < 0.001), and were independently correlated with hematoma volumes (ρ = 0.567, P < 0.001; t = 3.444, P = 0.001) and GCS score (ρ = -0.612, P < 0.001; t = -2.048, P = 0.043). Serum DKK-1 significantly differentiated patients at risk of END (area under ROC curve (AUC), 0.850; 95% confidence interval (CI), 0.777-0.907; P < 0.001) and poor prognosis (AUC, 0.830; 95% CI, 0.753-0.890; P < 0.001), which had similar prognostic ability, as compared to GCS scores and hematoma volumes. Subsequent Logistic regression model affirmed that GCS score, hematoma volume, and serum DKK-1 levels were independently associated with END and poor prognosis at 90 days after sICH. The models, which contained them, performed well using ROC curve analysis and calibration curve analysis. Serum DKK-1 levels are markedly associated with disease severity, END and 90-day poor prognosis in sICH. Hence, serum DKK-1 is presumed to be used as a potential prognostic biomarker of sICH.

Indexed as

Cerebral HemorrhageIntercellular Signaling Peptides and ProteinsAdultAgedAged, 80 and overBiomarkersCohort StudiesFemaleGlasgow Coma ScaleHumansMaleMiddle AgedPrognosisProspective StudiesROC CurveSeverity of Illness IndexBiomarkersDKK1 protein, humanIntercellular Signaling Peptides and ProteinsBiomarkersDickkopf-1Poor prognosisSeveritySpontaneous intracerebral hemorrhage

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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 Socratic graph.