Evidence map›Paper›PMID 37981928›Full record

ArticleMedical journal, Armed Forces India

Transient elastography and platelet count as noninvasive predictors of gastroesophageal varices in patients with compensated hepatitis C virus-related liver cirrhosis.

Mohamed Elbasiony, Hassan Abed, Hassan M Alaskalany, Ahmed Saleh

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In one paragraph

Article in Medical journal, Armed Forces India. 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
0.5field-weighted citation impact, top 35% 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, 4 citations in OpenAlex.

  1. Article
  2. Observational
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

4 authors at 1 institution in 1 country.

Mohamed ElbasionyDepartment of Internal Medicine, Hepatology & Gastroenterology Unit, Faculty of Medicine, Mansoura University, Egypt.
Hassan AbedNabaroh Central Hospital, Ministry of Health, Egypt.
Hassan M AlaskalanyDepartment of Internal Medicine, Hepatology & Gastroenterology Unit, Faculty of Medicine, Mansoura University, Egypt.
Ahmed SalehDepartment of Internal Medicine, Hepatology & Gastroenterology Unit, Faculty of Medicine, Mansoura University, Egypt.
Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early detection of esophageal varices (EV) before the first attack of bleeding is crucial for primary prophylaxis. The current work aims to investigate the use of a combination of FibroScan and platelet count as noninvasive means to identify EV in patients with compensated cirrhosis. Methods: Sixty-two patients with compensated hepatitis C virus (HCV)-related cirrhosis were divided into two groups with and without EV. All patients were exposed to complete history, physical examination, laboratory, and endoscopic evaluation. FibroScan was performed for all patients, and the two groups were compared. Results: A statistically significant higher mean liver stiffness measurement (LSM) (KPa), lower mean platelet count to splenic diameter ratio (PSR), and higher mean fibrosis-4 (FIB4) score were noticed in those with EV with P < 0.0005. A cutoff value of ≥23.1 for LSM, ≥3.71 for FIB4, and ≥130 mm for splenic diameter have a sensitivity of 94%, 97%, and 97% and a specificity of 81%, 81%, and 68%, respectively, in the detection of varices. Platelet count of ≥112,500 (×10 Conclusion: The combination of LSM by transient elastography (TE), PSR, or platelet count can be used to detect a relevant category of patients with compensated cirrhosis who have a very low possibility of EV where endoscopy can be avoided.

Indexed as

CirrhosisEsophageal varicesTransient elastography

Identifiers

PMID37981928
PMCPMC10654393
OpenAlexW3206869237

What OpenQuestion holds

Textmetadata
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.