Evidence map›Paper›PMID 31041563›Full record

ArticleEuropean radiology2019

Prediction of esophageal varices by liver and spleen MR elastography.

Hayato Abe, Yutaka Midorikawa, Naoki Matsumoto, Mitsuhiko Moriyama, Kazu Shibutani, Masahiro Okada, Seiichi Udagawa, Shingo Tsuji, Tadatoshi Takayama

Abstract read
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In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Liver fibrosis assessment: MR and US elastography.Abdominal radiology (New York) · 2022
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Advances in Magnetic Resonance Elastography of Liver.Magnetic resonance imaging clinics of North America · 2020
    Review
  18. Article
  19. Article
  20. 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.

Hayato AbeDepartment of Digestive Surgery, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Yutaka MidorikawaDepartment of Digestive Surgery, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan. mido-tky@umin.ac.jp.
Naoki MatsumotoDepartment of Gastroenterology and Hepatology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Mitsuhiko MoriyamaDepartment of Gastroenterology and Hepatology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Kazu ShibutaniDepartment of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Masahiro OkadaDepartment of Radiology, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Seiichi UdagawaDepartment of Mathematics, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.
Shingo TsujiResearch Center of Advanced Science and Technology, Genome Science Divisions, University of Tokyo, Tokyo, Japan.
Tadatoshi TakayamaDepartment of Digestive Surgery, Nihon University School of Medicine, 30-1, Oyaguchikami-machi, Itabashi-ku, Tokyo, 173-8610, Japan.

Funding

Japan Agency for Medical Research and Development 18hk0102049s0301
6 · The paper itself

Abstract

objectivesWe aimed to assess the diagnostic performance of MR elastography (MRE) in predicting esophageal varices (EVs) in patients with chronic liver disease.

methodsWe prospectively performed liver (LSM) and spleen stiffness measurements (SSM) using MRE and endoscopic screening for EVs to determine if patients with hepatocellular carcinoma were eligible for resection. We investigated whether LSM, SSM, and other non-invasive preoperative parameters were associated with the presence of EVs. In order to predict EVs, 211 patients were divided into training (n = 140) and test (n = 71) groups. A nomogram was built using independent factors based on logistic regression analysis in the training group and its accuracy was validated using an independent cohort.

resultsForty-six patients (21.8%) were diagnosed as having EVs (mild, n = 36; severe, n = 10). According to multiple regression analysis, LSM (odds ratio, 2.362; 95% confidence interval [CI], 1.341-4.923; p = 0.001) and SSM (1.489; 1.095-2.235; p = 0.010) were independent predictors of EVs in the training group. The nomogram showed good discrimination, with a C-index of 0.942 (95% CI, 0.892-0.974) through internal validation, and good calibration. Application of the nomogram in the test group still gave good discrimination (C-index, 0.948; 95% CI, 0.868-0.995).

conclusionsThe combination of LSM and SSM using MRE is an accurate tool to identify patients at risk for EVs. KEY POINTS: • Performance of MR elastography can estimate the presence of esophageal varices non-invasively. • Liver and spleen stiffness measurements are independent predictors for esophageal varices. • The nomogram using a combination of liver and spleen stiffness measurements allows for the risk of esophageal varices.

Indexed as

AdultAgedAged, 80 and overCohort StudiesElasticity Imaging TechniquesEsophageal and Gastric VaricesFemaleHumansLiverLiver DiseasesMaleMiddle AgedPredictive Value of TestsSpleenSplenic DiseasesEsophageal varicesLiverMR elastographySpleen

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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.