Evidence map›Paper›PMID 40082795›Full record

ArticleInternational journal of emergency medicine2025

A survey of emergency medicine physicians' knowledge, attitude, and practice towards esophagogastric variceal bleeding.

Zhenzhen Gao, Yusong Gao, Shuai Ma, Tianpeng Zhang, Junyuan Wu, Shubin Guo, Xue Mei

Abstract read
In one paragraph

Article in International journal of emergency medicine, 2025. 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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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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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

7 authors.

Zhenzhen Gao *Emergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China.
Yusong Gao *Department of Emergency, Peking university first hospital, Beijing, China.
Shuai MaEmergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China.
Tianpeng ZhangDepartment of Emergency, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Junyuan WuEmergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China.
Shubin GuoEmergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China.
Xue MeiEmergency Medicine Clinical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, People's Republic of China. meixue91@yeah.net.

Funding

Beijing Municipal Natural Science Foundation-Haidian Original Innovation Joint Fund L242047
6 · The paper itself

Abstract

backgroundEsophageal-gastric variceal bleeding (EVB) is one of the leading causes of mortality in patients with cirrhotic portal hypertension. Rapid, accurate, and effective emergency care is crucial for successful patient outcomes.

aimsThis study aims to evaluate the knowledge, attitudes, and practices of Chinese emergency physicians regarding EVB, with the goal of improving the diagnosis and treatment of gastrointestinal bleeding in emergency settings.

methodsA self-designed questionnaire based on clinical guidelines was developed to assess EVB knowledge, attitudes, and practices of Chinese emergency physicians in treating EVB. An online survey was conducted among emergency physicians nationwide. Data were analyzed using descriptive statistics and correlation analysis.

resultsThe knowledge score for EVB was 11.2 ± 3.5 (total score was 22), indicating a relatively low level of understanding. Statistically significant differences in knowledge scores were observed across hospital grades, educational backgrounds, years of experience, professional titles, and participation in relevant training programs (P < 0.05). The mean attitude score for EVB was above 4 (total score was 5), reflecting a generally positive attitude among physicians. In terms of practices, the score for treatment behavior of EVB was 2.7 ± 1.2, and behavior was positively correlated with knowledge and attitude (P < 0.05).

conclusionChinese emergency physicians demonstrate a low level of knowledge about EVB treatment, although their attitudes remain positive. Their clinical practices in EVB management are also insufficient. Enhancing education on EVB and standardizing treatment protocols are necessary to improve patient outcomes.

Indexed as

AttitudeEmergency physiciansEsophagogastric variceal bleedingKnowledgePractice

Identifiers

PMID40082795
PMCPMC11905617

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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.