Evidence map›Paper›PMID 39262690›Full record

ArticleAmerican journal of translational research2024

Predictive value of platelets-to-spleen diameter ratio for esophagogastric varices in hepatitis B virus-induced cirrhosis.

Hong Qi, Xuan Yang, Man Yan, Yange Wang, Xueqin Fang, Li Sun

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Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hong QiDepartment of Infection, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University Xi'an 710018, Shaanxi, China.
Xuan YangDepartment of Infection, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University Xi'an 710018, Shaanxi, China.
Man YanDepartment of Hepatobiliary, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University Xi'an 710018, Shaanxi, China.
Yange WangDepartment of Infection, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University Xi'an 710018, Shaanxi, China.
Xueqin FangDepartment of Infection, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University Xi'an 710018, Shaanxi, China.
Li SunDepartment of Infection, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University Xi'an 710018, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the predictive efficacy of the platelets-to-spleen diameter ratio (PSDR) for developing esophagogastric varices (EV) in patients with cirrhosis due to hepatitis B virus (HBV).

methodsWe conducted a retrospective cohort study using data from patients treated for HBV induced cirrhosis at Xi'an No. 3 Hospital, the Affiliated Hospital of Northwest University, from June 2020 to August 2023. Patients were categorized into two groups based on endoscopic evidence of EV: an EV group and a non-EV group. Clinical, sonographic, and hematological findings were compared within and between these groups. Stratified analyses based on the severity of varices were performed, and multivariate logistic regression was used to identify predictors of EV. Receiver Operating Characteristic (ROC) curve analysis assessed the diagnostic accuracy of PSDR in predicting EV.

resultsThe study included 139 patients diagnosed with HBV induced cirrhosis, divided into an EV group (86 patients, with 48 low-risk and 38 high-risk) and a non-EV group (53 patients). Significant differences were found between the groups in several parameters: Child-Pugh classification, Child-Pugh score, portal vein diameter, hepatic vein deceleration index, spleen thickness, and PSDR (all P<0.001). These variables also varied significantly across the different risk categories within the EV group (all P<0.001). Multivariate logistic regression indicated PSDR as an independent predictor of EV development (Odds Ratio [OR]=3.569, 95% Confidence Interval [CI]: 0.970-1.001, P<0.001). ROC curve analysis showed that PSDR had an Area Under the Curve (AUC) of 0.865 (95% CI: 0.764-0.965) for predicting EV, with an optimal threshold of 1013.2, achieving 88.46% sensitivity and 69.23% specificity. For high-risk EV, PSDR showed an AUC of 0.763 (95% CI: 0.670-0.856), with a threshold of 883.5, sensitivity of 79.17%, and specificity of 54.17%.

conclusionThe PSDR is a significant risk marker and demonstrates strong predictive utility for both the presence and severity of EV in patients with HBV-induced cirrhosis. PSDR provides a valuable, non-invasive diagnostic tool for anticipating the development of EV in this patient population.

Indexed as

esophagogastric varicesHepatitis B virus-induced cirrhosisplatelet spleen diameter ratio

Identifiers

PMID39262690
PMCPMC11384355

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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 OpenQuestion graph.