Evidence map›Paper›PMID 38577649›Full record

ArticleWorld journal of gastrointestinal endoscopy2024

Computed tomography for prediction of esophageal variceal bleeding.

Mohammed Elhendawy, Ferial Elkalla

Open access · diamondAbstract read
In one paragraph

Article in World journal of gastrointestinal endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
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.

Mohammed ElhendawyDepartment of Tropical Medicine and Infectious Diseases, Tanta University, Tanta 31111, Egypt. elhendawymohammed@gmail.com.
Ferial ElkallaDepartment of Tropical Medicine and Infectious Diseases, Tanta University, Tanta 31111, Egypt.
Tanta University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This letter to the editor relates to the study entitled "The role of computed tomography for the prediction of esophageal variceal bleeding: Current status and future perspectives". Esophageal variceal bleeding (EVB) is one of the most common and severe complications related to portal hypertension (PH). Despite marked advances in its management during the last three decades, EVB is still associated with significant morbidity and mortality. The risk of first EVB is related to the severity of both PH and liver disease, and to the size and endoscopic appearance of esophageal varices. Indeed, hepatic venous pressure gradient (HVPG) and esophagogastroduodenoscopy (EGD) are currently recognized as the "gold standard" and the diagnostic reference standard for the prediction of EVB, respectively. However, HVPG is an invasive, expensive, and technically complex procedure, not widely available in clinical practice, whereas EGD is mainly limited by its invasive nature. In this scenario, computed tomography (CT) has been recently proposed as a promising modality for the non-invasive prediction of EVB. While CT serves solely as a diagnostic tool and cannot replace EGD or HVPG for delivering therapeutic and physiological information, it has the potential to enhance the prediction of EVB more effectively when combined with liver disease scores, HVPG, and EGD. However, to date, evidence concerning the role of CT in this setting is still lacking, therefore we aim to summarize and discuss the current evidence concerning the role of CT in predicting the risk of EVB.

Indexed as

Computed tomographyComputed tomography angiographyEsophageal variceal bleedingPortal hypertensionVariceal upper gastrointestinal bleeding

Identifiers

PMID38577649
PMCPMC10989253
OpenAlexW4392826462

What OpenQuestion holds

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LicenceCC BY-NC
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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.