Evidence map›Paper›PMID 38192539›Full record

ArticleJHEP reports : innovation in hepatology2024

Spleen stiffness measurement predicts decompensation and rules out high-risk oesophageal varices in primary biliary cholangitis.

Cristina Rigamonti, Micol Giulia Cittone, Giulia Francesca Manfredi, Carla De Benedittis, Noemi Paggi, Francesca Baorda, Davide Di Benedetto, Rosalba Minisini, Mario Pirisi

Open access · goldAbstract read
In one paragraph

Article in JHEP reports : innovation in hepatology, 2024. 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
2.6field-weighted citation impact, top 9% 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, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. [Research progress on early-stage primary biliary cholangitis accompanied by portal hypertension].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2025
    Review
  6. 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

9 authors at 1 institution in 1 country.

Cristina RigamontiDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Micol Giulia CittoneDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Giulia Francesca ManfrediDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Carla De BenedittisDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Noemi PaggiDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Francesca BaordaDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Davide Di BenedettoDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Rosalba MinisiniDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Mario PirisiDepartment of Translational Medicine, Università del Piemonte Orientale, Novara, Italy.
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & Aims: Primary biliary cholangitis (PBC) may lead to portal hypertension (PH). Spleen stiffness measurement (SSM) by vibration-controlled transient elastography accurately predicts PH. We aimed to assess SSM role in stratifying the risk of liver decompensation in PBC. Methods: In this monocentric, prospective, cross-sectional study, we included 114 patients with PBC who underwent liver stiffness measurement (LSM) and SSM. In total, 78 and 33 patients underwent two and three sequential vibration-controlled transient elastography examinations, respectively (longitudinal study). Screening for high-risk oesophageal varices by oesophagogastroduodenoscopy was performed according to guidelines and proposed to all patients with SSM >40 kPa. Results: Among the 114 patients, 20 (17%) had LSM ≥10 kPa, whereas 17 (15%) had SSM >40 kPa. None of the patients with SSM ≤40 kPa had high-risk oesophageal varices, compared with three of 14 patients with SSM >40 kPa (21%; three refused endoscopy); any-size oesophageal varices were found in nine of 14 patients (64%). During a median follow-up of 15 months (IQR 10-31 months), five (4%) patients developed liver decompensation. The probability of liver decompensation was significantly higher among patients with both LSM ≥10 kPa and SSM >40 kPa: 41% at 24 months Conclusions: Both LSM and SSM predict liver decompensation in patients with PBC. SSM ≤40 kPa rules out high-risk oesophageal varices and might be used in combination with LSM to improve the prediction of PH-related complications. Impact and implications: Spleen stiffness measurement by vibration-controlled transient elastography accurately predicts portal hypertension in patients with chronic viral hepatitis. The present study is the first to demonstrate that in primary biliary cholangitis the combination of liver stiffness and spleen stiffness measurement can significantly improve risk stratification by predicting liver decompensation. Moreover, when spleen stiffness is combined with liver stiffness measurement and platelet count, it aids in identifying individuals with a low probability of having high-risk oesophageal varices, thereby allowing the avoidance of unnecessary endoscopy examinations. Further validation of our results in larger cohorts of patients with primary biliary cholangitis is needed to implement spleen stiffness measurement in clinical practice.

Indexed as

Liver stiffnessOutcomePortal hypertensionVibration-controlled transient elastography

Identifiers

PMID38192539
PMCPMC10772386
OpenAlexW4388084538

What OpenQuestion holds

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LicenceCC BY
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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.