Evidence map›Paper›PMID 26886612›Full record

Observational studyMedicine2016

Predicting Hepatic Steatosis in Living Liver Donors via Noninvasive Methods.

Jong Man Kim, Sang Yun Ha, Jae-Won Joh, Dong Hyun Sinn, Woo Kyung Jeong, Gyu-Seong Choi, Geum Youn Gwak, Choon Hyuck David Kwon, Young Kon Kim, Yong Han Paik and 4 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. World journal of clinical cases · 2022
    Article
  4. Article
  5. Application of ischaemia-free liver transplantation improves prognosis of patients with steatotic donor livers - a retrospective study.Transplant international : official journal of the European Society for Organ Transplantation · 2021
    Article
  6. Article
  7. Article
  8. Review
  9. BMJ open gastroenterology · 2019
    Article
  10. Article
  11. Article
  12. 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

14 authors at 1 institution in 1 country.

Jong Man KimFrom the Department of Surgery (JMK, J-WJ, G-SC, CHDK, S-KL); Department of Pathology (SYH, CKP); Department of Medicine, Division of Gastroenterology (DHS, GYG, JHL); and Department of Radiology (WKJ, WJL), Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Sang Yun Ha
Jae-Won Joh
Dong Hyun Sinn
Woo Kyung Jeong
Gyu-Seong Choi
Geum Youn Gwak
Choon Hyuck David Kwon
Young Kon Kim
Yong Han Paik
Joon Hyeok Lee
Won Jae Lee
Suk-Koo Lee
Cheol Keun Park
Jacobson Holman (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatic steatosis assessment is of paramount importance for living liver donor selection because significant hepatic steatosis can affect the postoperative outcome of recipients and the safety of the donor. The validity of various noninvasive imaging methods to assess hepatic steatosis remains controversial. The purpose of our study is to investigate the association between noninvasive imaging methods and pathology to detect steatosis in living liver donors and to propose a prediction model for hepatic steatosis. Liver stiffness measurements (LSMs) and controlled attenuation parameter values in vibration controlled transient elastography, ultrasonography, computed tomography (CT), and magnetic resonance imaging were used as pretransplant screening methods to evaluate living liver donors between 2012 and 2014. Only 1 pathologist assessed tissue sample for hepatic steatosis. The median age of the 79 living donors (53 men and 26 women) was 32 years (16-68 years). The CT liver-spleen attenuation (L-S) difference and the controlled attenuation parameter values were well correlated with the level of hepatic steatosis on liver pathology. Multivariate analysis showed that liver stiffness measurement (LSM) (β = 0.903; 95% CI, 0.105-1.702; P = 0.027) and the CT L to S attenuation difference (β = -3.322; 95% CI, -0.502 to -0.142; P = 0.001) were closely associated with hepatic steatosis. We generated the following equation to predict total hepatic steatosis: Hepatic steatosis = 0.903 × LSM - 0.322 × CT L to S attenuation difference (AUC = 86.6% and P = 0.001). The values predicted by the equation correlated well with the presence of hepatic steatosis (r = 0.509 and P < 0.001). The combination of nonenhanced CT L to S attenuation difference and transient elastography using vibration controlled transient elastography provides sufficient information to predict hepatic steatosis in living liver donor candidates.

Indexed as

Living DonorsAdolescentAdultAgedBiopsyDiagnostic ImagingFatty LiverFemaleHumansLiver TransplantationMagnetic Resonance ImagingMaleMiddle AgedRetrospective StudiesROC CurveTomography, X-Ray Computed

Identifiers

PMID26886612
PMCPMC4998612
OpenAlexW2319150673

What OpenQuestion holds

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LicenceCC BY
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.