Evidence map›Paper›PMID 35052025›Full record

ArticleClinical endoscopy2022

Risk Stratification in Cancer Patients with Acute Upper Gastrointestinal Bleeding: Comparison of Glasgow-Blatchford, Rockall and AIMS65, and Development of a New Scoring System.

Matheus Cavalcante Franco, Sunguk Jang, Bruno da Costa Martins, Tyler Stevens, Vipul Jairath, Rocio Lopez, John J Vargo, Alan Barkun, Fauze Maluf-Filho

Open access · goldAbstract read
In one paragraph

Article in Clinical endoscopy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 21% 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.

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

6 citing papers in PubMed, 9 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

9 authors at 5 institutions in 3 countries.

Matheus Cavalcante FrancoHospital Sírio-Libanês, Brasília, Distrito Federal, Brazil.
Sunguk JangDepartment of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA.
Bruno da Costa MartinsEndoscopy Unit, Cancer Institute of the University of São Paulo, São Paulo, Brazil.
Tyler StevensDepartment of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA.
Vipul JairathWestern University, London, ON, Canada.
Rocio LopezDepartment of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA.
John J VargoDepartment of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, Ohio, USA.
Alan BarkunDivision of Gastroenterology, McGill University and the McGill University Health Centre, Montreal, QC, Canada.
Fauze Maluf-FilhoEndoscopy Unit, Cancer Institute of the University of São Paulo, São Paulo, Brazil.
Cleveland Clinic · USInstituto do Câncer do Estado de São Paulo · BRHospital Sírio-Libanês · BRMcGill University Health Centre · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsFew studies have measured the accuracy of prognostic scores for upper gastrointestinal bleeding (UGIB) among cancer patients. Thereby, we compared the prognostic scores for predicting major outcomes in cancer patients with UGIB. Secondarily, we developed a new model to detect patients who might require hemostatic care.

methodsA prospective research was performed in a tertiary hospital by enrolling cancer patients admitted with UGIB. Clinical and endoscopic findings were obtained through a prospective database. Multiple logistic regression analysis was performed to gauge the power of each score.

resultsFrom April 2015 to May 2016, 243 patients met the inclusion criteria. The AIMS65 (area under the curve [AUC] 0.85) best predicted intensive care unit admission, while the Glasgow-Blatchford score best predicted blood transfusion (AUC 0.82) and the low-risk group (AUC 0.92). All scores failed to predict hemostatic therapy and rebleeding. The new score was superior (AUC 0.74) in predicting hemostatic therapy. The AIMS65 (AUC 0.84) best predicted in-hospital mortality.

conclusionThe scoring systems for prognostication were validated in the group of cancer patients with UGIB. A new score was developed to predict hemostatic therapy. Following this result, future prospective research should be performed to validate the new score.

Indexed as

CancersGastrointestinalHemorrhageIn-hospital mortalityPrognostic factors

Identifiers

PMID35052025
PMCPMC8995992
OpenAlexW4206495421

What OpenQuestion holds

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Registered trials

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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.