Evidence map›Paper›PMID 41255647›Full record

ArticleJournal of clinical practice and research2025

Prospective Analysis of Critically Ill Patients with Gastrointestinal Bleeding: An Observational Study.

Mihriban Yıldırım, Şahin Temel, Merve Aslan, Mustafa Calıskan, Elif Nur Karaoglu, Kursat Gundogan, Murat Sungur

Abstract read
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Article in Journal of clinical practice and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

2 · The registry

The trial behind it

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mihriban YıldırımDepartment of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, Türkiye.
Şahin TemelDivision of Intensive Care, Department of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, Türkiye.
Merve AslanDepartment of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, Türkiye.
Mustafa CalıskanDepartment of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, Türkiye.
Elif Nur KaraogluDepartment of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, Türkiye.
Kursat GundoganDivision of Intensive Care, Department of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, Türkiye.
Murat SungurDivision of Intensive Care, Department of Internal Medicine, Erciyes University Faculty of Medicine, Kayseri, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study was to prospectively evaluate the clinical and laboratory characteristics, as well as the mortality, of patients with gastrointestinal bleeding (GIB) in the intensive care unit (ICU). Materials and Methods: This prospective study was conducted in the medical ICU. Patients diagnosed with GIB who were older than 18 years and hospitalized for at least 24 hours were included. Results: A total of 86 patients were enrolled in the study. The mean age was 65±14 years. The Acute Physiology and Chronic Health Evaluation II (APACHE II) score was 13 (range: 2-41). The median Glasgow-Blatchford risk score was 12 (range: 2-18), and the Sequential Organ Failure Assessment (SOFA) score was 3 (range: 0-16). The most common causes of GIB were esophageal variceal bleeding (23%) and duodenal ulcer bleeding (16%). Chronic liver disease (CLD) (22%) and thrombocytopenia (21%) were identified as the most frequent predisposing factors for GIB. There was no significant difference in mortality between variceal bleeding (19%) and non-variceal bleeding (19%) (p=0.952). The APACHE II, SOFA, and Glasgow-Blatchford risk scores of non-surviving patients were statistically significantly higher than those of survivors (p=0.002, p<0.001, p<0.001 respectively). The mean platelet values were significantly higher in survivors (p<0.001). The ICU mortality rate was 19%. Conclusion: This study demonstrated that the most common cause of GIB in the ICU was esophageal variceal bleeding, and the most frequent predisposing factor for GIB was CLD. The ICU mortality rate was not high in our study.

Indexed as

esophageal variceal bleedingGastrointestinal bleedingintensive care unitmortalitythrombocytopenia

Identifiers

PMID41255647
PMCPMC12478673

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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.