Evidence map›Paper›PMID 35876975›Full record

SynthesisJournal of medical ultrasonics (2001)2022

Diagnostic accuracy of transient elastography in diagnosing clinically significant portal hypertension in patients with chronic liver disease: a systematic review and meta-analysis.

Ashish Kumar, Hitoshi Maruyama, Anil Arora, Praveen Sharma, Shrihari Anil Anikhindi, Naresh Bansal, Mandhir Kumar, Piyush Ranjan, Munish Sachdeva, Shivam Khare

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of medical ultrasonics (2001), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. [Novel advances following the integration of Baveno VII consensus definitions for the non-invasive testing of portal hypertension].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
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  11. Review
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

10 authors at 2 institutions in 2 countries.

Ashish KumarInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India. ashishk10@yahoo.com.ORCID http://orcid.org/0000-0001-6680-7227
Hitoshi MaruyamaDepartment of Gastroenterology, Juntendo University, Tokyo, Japan.
Anil AroraInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India.
Praveen SharmaInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India.
Shrihari Anil AnikhindiInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India.
Naresh BansalInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India.
Mandhir KumarInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India.
Piyush RanjanInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India.
Munish SachdevaInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India.
Shivam KhareInstitute of Liver, Gastroenterology, & Pancreatico-Biliary Sciences, Sir Ganga Ram Hospital, Rajinder Nagar, New Delhi, 110 060, India.
Sir Ganga Ram Hospital · INJuntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLiver stiffness measurement using transient elastography (TE-LSM) is a promising noninvasive alternative to hepatic venous pressure gradient (HVPG) for diagnosing clinically significant portal hypertension (CSPH). However, previous studies have yielded conflicting results. We evaluated the correlation between TE-LSM and HVPG and the performance of TE-LSM in diagnosing CSPH (HVPG ≥ 10 mmHg).

methodsWe conducted a systematic review and meta-analysis by searching PubMed and Scopus databases for relevant literature evaluating the clinical usefulness of TE for diagnosing CSPH in patients with chronic liver disease.

resultsTwenty-six studies (4337 patients with valid TE and HVPG) met our inclusion criteria. The median correlation coefficient of TE with HVPG was 0.70 (range 0.36-0.86). The weighted mean of optimal cut-off of liver stiffness value for diagnosing CSPH was 22.8 kPa (95% CI 22.7-23.0 kPa). The summary sensitivity and specificity were 79% (95% CI 74-84%) and 88% (95% CI 84-91%), respectively. The area under the hierarchical summary receiver operating characteristic (HSROC) curve was 0.91 (95% CI 0.88-0.93) according to the bivariate model. One limitation of the study was significant heterogeneity in the results of summary sensitivity and specificity (I

conclusionsLiver stiffness measurement using TE correlates well with HVPG, and a liver stiffness cut-off value of 22.8 kPa shows a high accuracy for diagnosing CSPH. Thus, use of TE should be integrated into clinical practice for noninvasive diagnosis of CSPH.

Indexed as

Elasticity Imaging TechniquesHypertension, PortalHumansLiverLiver CirrhosisPortal PressureROC CurveCirrhosisClinically significant portal hypertensionElastographyFibroscanHepatic venous pressure gradient

Identifiers

PMID35876975
OpenAlexW4287092134

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.