Evidence map›Paper›PMID 42540521›Full record

ArticleArchives of medical science : AMS2026

The use of prognostic scales in upper gastrointestinal tract bleeding.

Czesław Osuch, Mateusz Rubinkiewicz, Piotr Tylec, Alicja Dudek, Monika Orłowska, Dorota Długosz, Katarzyna Truszkiewicz, Jan Witowski, Andrzej Matyja

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

9 authors.

Czesław Osuch2 Department of General Surgery, Jagiellonian University Medical College, Krakow, Poland.
Mateusz Rubinkiewicz2 Department of General Surgery, Jagiellonian University Medical College, Krakow, Poland.
Piotr TylecJagiellonian University, Faculty of Medicine, Krakow, Poland.
Alicja DudekJagiellonian University, Faculty of Medicine, Krakow, Poland.
Monika OrłowskaJagiellonian University, Faculty of Medicine, Krakow, Poland.
Dorota DługoszJagiellonian University, Faculty of Medicine, Krakow, Poland.
Katarzyna Truszkiewicz2 Department of General Surgery, Jagiellonian University Medical College, Krakow, Poland.
Jan Witowski2 Department of General Surgery, Jagiellonian University Medical College, Krakow, Poland.
Andrzej Matyja2 Department of General Surgery, Jagiellonian University Medical College, Krakow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In order to select high-risk patients, many prognostic scales have been invented. Among them, the Rockall, Glasgow-Blatchford and AIMS65 scales were considered the most useful. Material and methods: Patients with non-variceal upper gastrointestinal (GI) tract bleeding, treated between 2017 and 2018, were retrospectively enrolled in the study. Every patient had a Rockall, Glasgow-Blatchford and AIMS65 score calculated retrospectively. Data on hospitalization - blood transfusions, length of hospital stay, rebleeding, intensive care unit (ICU) admission, mortality - were included in the database. Results: Univariate logistic regression revealed that only the AIMS65 scale was a prognostic factor for in-hospital mortality (OR = 11.028; 95% CI: 2.271-53.563, Conclusions: Based on our results, we recommend using the AIMS65 scoring system. It is simple and requires few parameters to be counted. Also, it proved to be the most efficient in predicting in-hospital mortality.

Indexed as

AIMS65gastrointestinal bleedingGlasgow-Blatchfordprognostic scalesRockall

Identifiers

PMID42540521
PMCPMC13426187

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.