Evidence map›Paper›PMID 41090231›Full record

ArticleImmunity, inflammation and disease2025

Predictive Value of Combined CRP and INR for Intracranial Hypertension in Cerebral Venous Thrombosis.

Jiahui Yan, Manli Lu, Zhichao Huang, Yingying Xu, Yongjun Cao, Jianqiang Ni, Xia Zhang

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2025. 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
–field-weighted citation impact
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.

  1. Article
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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.

Jiahui YanDepartment of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID https://orcid.org/0000-0003-1593-460X
Manli LuDepartment of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Zhichao HuangDepartment of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Yingying XuDepartment of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Yongjun CaoDepartment of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Jianqiang NiDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Xia ZhangDepartment of Neurology and Suzhou Clinical Research Center of Neurological Disease, The Second Affiliated Hospital of Soochow University, Suzhou, China.ORCID https://orcid.org/0000-0003-0161-471X

Funding

This study was supported by Jiangsu Provincial Medical Key Discipline (Grant no: ZDXK202217), Suzhou Scientific and Technological Projects of Medical Innovation and Application Research (Grant no: SKY2023179), the Key Talent Project of Nuclear Technology Medical Application of the Second Affiliated Hospital of Soochow University (Grant no: XKTJ-HRC 2021006), the China National Natural Fund Project (Grant no: 82171296), Discipline Construction Program of the Second Affiliated Hospital of Soochow University (Grant no: XKTJ-TD202004) and Chinese Cardiovascular Association-Naturalipid-lowering drugs fund (Grant no: 2023-CCA-NLD-339).
6 · The paper itself

Abstract

backgroundIntracranial hypertension (IH) is a frequently observed clinical manifestation of cerebral venous thrombosis (CVT), which reflects the severity of the disease. The gold standard of intracranial pressure (ICP) is through invasive lumbar puncture.

objectivesWe aimed to develop a noninvasive model combining biomarkers and clinical features to predict IH in CVT patients, facilitating early risk stratification.

methodsThe patients with CVT were consecutively enrolled in the Second Affiliated Hospital of Soochow University and the First Affiliated Hospital of Soochow University between January 2011 and June 2024, which were divided into two groups: CVT-IH group and CVT + IH group based on ICP levels. Additionally, participants were further categorized into four groups according to the cut-off of C-reactive protein (CRP) and international normalized ratio (INR) by the receiver operating characteristic (ROC) curves. Logistic regression models were employed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) of IH across the four subgroups.

results157 individuals were finally included, 61 of whom had IH. Participants with CRP > 5.5 g/L or INR < 0.99 were more likely to experience IH. Those with high CRP and low INR conferred 9.778 times higher risk of IH compared with that of those with low CRP and high INR. Simultaneously adding CRP and INR to the basic model with established risk factors significantly improved risk discrimination and reclassification for IH of CVT patients.

conclusionsCombination of CRP and INR better predicted the occurrence of IH for CVT patients, which might provide a noninvasive way of assessing ICP of CVT patients.

Indexed as

C-Reactive ProteinInternational Normalized RatioIntracranial HypertensionIntracranial ThrombosisVenous ThrombosisAdultBiomarkersFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk FactorsROC CurveBiomarkersC-Reactive Proteincerebral venous thrombosiscombined effectC‐reaction proteininternational normalized ratiointracranial hypertension

Identifiers

PMID41090231
PMCPMC12521872

What Socratic holds

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LicenceCC BY
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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 Socratic graph.