Evidence map›Paper›PMID 24459644›Full record

ArticleClinical and molecular hepatology2013

Ultrasonographic scoring system score versus liver stiffness measurement in prediction of cirrhosis.

Kyoung Min Moon, Gaeun Kim, Soon Koo Baik, Eunhee Choi, Moon Young Kim, Hyoun A Kim, Mee Yon Cho, Seung Yong Shin, Jung Min Kim, Hong Jun Park and 2 more

Abstract read
In one paragraph

Article in Clinical and molecular hepatology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Current Perspectives Regarding Stem Cell-Based Therapy for Liver Cirrhosis.Canadian journal of gastroenterology & hepatology · 2018
    Review
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  20. Mesenchymal stem cell therapy for liver fibrosis.The Korean journal of internal medicine · 2015
    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

12 authors.

Kyoung Min MoonDepartment of Internal Medicine, Konyang University College of Medicine, Daejeon, Korea.
Gaeun KimDepartment of Nursing, Keimyung University College of Nursing, Daegu, Korea.
Soon Koo BaikDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea. ; Cell Therapy and Tissue Engineering Center, Yonsei University Wonju College of Medicine, Wonju, Korea. ; Institute of Lifestyle Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Eunhee ChoiInstitute of Lifestyle Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Moon Young KimDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea. ; Cell Therapy and Tissue Engineering Center, Yonsei University Wonju College of Medicine, Wonju, Korea. ; Institute of Lifestyle Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Hyoun A KimDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Mee Yon ChoDepartment of Pathology, Yonsei University Wonju College of Medicine, Wonju, Korea.
Seung Yong ShinDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Jung Min KimDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Hong Jun ParkDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Sang Ok KwonDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Korea.
Young Woo EomCell Therapy and Tissue Engineering Center, Yonsei University Wonju College of Medicine, Wonju, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsWe compared the cirrhosis-prediction accuracy of an ultrasonographic scoring system (USSS) combining six representative sonographic indices with that of liver stiffness measurement (LSM) by transient elastography, and prospectively investigated the correlation between the USSS score and LSM in predicting cirrhosis.

methodsTwo hundred and thirty patients with chronic liver diseases (187 men, 43 women; age, 50.4±9.5 y, mean±SD) were enrolled in this prospective study. The USSS produces a combined score for nodularity of the liver surface and edge, parenchyma echogenicity, presence of right-lobe atrophy, spleen size, splenic vein diameter, and abnormality of the hepatic vein waveform. The correlations of the USSS score and LSM with that of a pathological liver biopsy (METAVIR scoring system: F0-F4) were evaluated.

resultsThe mean USSS score and LSM were 7.2 and 38.0 kPa, respectively, in patients with histologically overt cirrhosis (F4, P=0.017) and 4.3 and 22.1 kPa in patients with fibrotic change without overt cirrhosis (F0-F3) (P=0.025). The areas under the receiver operating characteristic (ROC) curves of the USSS score and LSM for F4 patients were 0.849 and 0.729, respectively. On the basis of ROC curves, criteria of USSS ≥6: LSM ≥17.4 had a sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of 89.2%:77.6%, 69.4%:61.4%, 86.5%:83.7%, 74.6%:51.9% and 0.83:0.73, respectively, in predicting F4.

conclusionsThe results indicate that this USSS has comparable efficacy to LSM in the diagnosis of cirrhosis.

Indexed as

Elasticity Imaging TechniquesAdultArea Under CurveFemaleHepatic VeinsHumansLiver CirrhosisMaleMiddle AgedOdds RatioPredictive Value of TestsProspective StudiesROC CurveSeverity of Illness IndexSpleenSplenic VeinBiopsyCirrhosisElastographyUltrasonography

Identifiers

PMID24459644
PMCPMC3894439

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LicenceCC BY-NC
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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.