Evidence map›Paper›PMID 37297873›Full record

ReviewJournal of clinical medicine2023

A Review of Risk Scores within Upper Gastrointestinal Bleeding.

Josh Orpen-Palmer, Adrian J Stanley

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06254352 (Evaluation of Clinical Risk Scores in Prediction of Outcome of Acute Upper Gastrointestinal Bleeding in Non Cirrhotic Patients), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
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.

NCT06254352 unknown statusnot on this mapstarted 2024, after this paper: background citation

Evaluation of Clinical Risk Scores in Prediction of Outcome of Acute Upper Gastrointestinal Bleeding in Non Cirrhotic Patients

TypeobservationalSponsorAssiut UniversityRan2024 to 2024Enrolled100ConditionsUpper GI BleedingArmsscoring system
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 26 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Josh Orpen-PalmerDepartment of Gastroenterology, Glasgow Royal Infirmary, Glasgow G4 0SF, UK.
Adrian J StanleyDepartment of Gastroenterology, Glasgow Royal Infirmary, Glasgow G4 0SF, UK.ORCID 0000-0002-9761-9795
Glasgow Royal Infirmary · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Upper gastrointestinal bleeding is a common medical emergency. Thorough initial assessment and appropriate resuscitation are essential to stabilise the patient. Risk scores provide an important tool to discriminate between lower- and higher-risk patients. Very low-risk patients can be safely discharged for out-patient management, while higher-risk patients can receive appropriate in-patient care. The Glasgow Blatchford Score, with a score of 0-1, performs best in the identification of very low-risk patients who will not require hospital based intervention or die, and is recommended by most guidelines to facilitate safe out-patient management. The performance of risk scores in the identification of specific adverse events to define high-risk patients is less accurate, with no individual score performing consistently well. Ongoing developments in the use of machine learning models and artificial intelligence in predicting poor outcomes in UGIB appear promising and will likely form the basis of dynamic risk assessment in the future.

Indexed as

acute gastrointestinal haemorrhagenon-variceal upper gastrointestinal bleedingpeptic ulcer bleedingrisk scoresrisk stratificationvariceal gastrointestinal bleeding

Identifiers

PMID37297873
PMCPMC10253886
OpenAlexW4378472246

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.