Evidence map›Paper›PMID 30547206›Full record

ArticleEuropean radiology2019

Hepatic steatosis and reduction in steatosis following bariatric weight loss surgery differs between segments and lobes.

Soudabeh Fazeli Dehkordy, Kathryn J Fowler, Adrija Mamidipalli, Tanya Wolfson, Cheng William Hong, Yesenia Covarrubias, Jonathan C Hooker, Ethan Z Sy, Alexandra N Schlein, Jennifer Y Cui and 4 more

Open access · greenAbstract read
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 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% 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

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

  1. Pooled it
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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 3 institutions in 1 country.

Soudabeh Fazeli DehkordyLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA. soodabeh.fazeli@gmail.com.
Kathryn J FowlerDepartment of Radiology, Washington University, Saint Louis, MO, USA.
Adrija MamidipalliLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
Tanya WolfsonComputational and Applied Statistics Laboratory, University of California San Diego, San Diego, CA, USA.
Cheng William HongLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
Yesenia CovarrubiasLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
Jonathan C HookerLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
Ethan Z SyLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
Alexandra N SchleinLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
Jennifer Y CuiLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
Anthony C GamstComputational and Applied Statistics Laboratory, University of California San Diego, San Diego, CA, USA.
Gavin HamiltonLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
Scott B ReederDepartment of Radiology, Medical Physics, Biomedical Engineering, Medicine, and Emergency Medicine, University of Wisconsin Madison, Madison, WI, USA.
Claude B SirlinLiver Imaging Group, Department of Radiology, University of California San Diego, 200 W. Arbor Drive #8756, San Diego, CA, 92103-8756, USA.
University of California, San Diego · USUniversity of Wisconsin–Madison · USWashington University in St. Louis · US

Funding

Technical Validation of MRI Biomarkers of Liver FatR01DK088925 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B., SIRLIN, CLAUDE B · 2010 to 2021
$7.1M
Traning Clinical Scientists in Radiological ImagingT32EB005970 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Eric Y Chang, Rebecca Ann Rakow-Penner · 2007 to 2026
$3.2M
Confounder-Corrected Quantitative MRI Biomarkers of HepaticR01DK100651 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2017
$2.7M
Technical Development of Quantitative Biomarkers of Fatty Liver Disease with MRIR01DK083380 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2010 to 2013
$1.2M
Evolution of Quantitative MRI Biomarkers of Metabolic Syndrome During PubertyK24DK102595 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI REEDER, SCOTT B. · 2014 to 2018
$927k
National Institute of Biomedical Imaging and Bioengineering T32 EB005970-09National Institutes of Health K24 DK102595National Institutes of Health R01 DK083380National Institutes of Health R01 DK088925National Institutes of Health R01 DK100651NIBIB NIH HHS T32 EB005970NIDDK NIH HHS K24 DK102595NIDDK NIH HHS R01 DK083380NIDDK NIH HHS R01 DK088925NIDDK NIH HHS R01 DK100651
6 · The paper itself

Abstract

objectivesThe purpose of this study was to (1) evaluate proton density fat fraction (PDFF) distribution across liver segments at baseline and (2) compare longitudinal segmental PDFF changes across time points in adult patients undergoing a very low-calorie diet (VLCD) and subsequent bariatric weight loss surgery (WLS).

methodsWe performed a secondary analysis of data from 118 morbidly obese adult patients enrolled in a VLCD-WLS program. PDFF was estimated using magnitude-based confounder-corrected chemical-shift-encoded (CSE) MRI in each hepatic segment and lobe at baseline (visit 1), after completion of VLCD (visit 2), and at 1, 3, and 6 months (visits 3-5) following WLS. Linear regressions were used to estimate the rate of PDFF change across visits. Lobar and segmental rates of change were compared pairwise.

resultsBaseline PDFF was significantly higher in the right lobe compared to the left lobe (p < 0.0001). Lobar and segmental PDFF declined by 3.9-4.5% per month between visits 1 and 2 (preoperative period) and by 4.3-4.8% per month between visits 1 and 3 (perioperative period), but no significant pairwise differences were found in slope between segments and lobes. For visits 3-5 (postoperative period), lobar and segmental PDFF reduction was much less overall (0.4-0.8% PDFF per month) and several pairwise differences were significant; in each case, a right-lobe segment had greater decline than a left-lobe segment.

conclusionsBaseline and longitudinal changes in fractional fat content in the 5-month postoperative period following WLS vary across segments, with right-lobe segments having higher PDFF at baseline and more rapid reduction in liver fat content. KEY POINTS: • Baseline and longitudinal changes in liver fat following bariatric weight loss surgery vary across liver segments. • Methods that do not provide whole liver fat assessment, such as liver biopsy, may be unreliable in monitoring longitudinal changes in liver fat following weight loss interventions.

Indexed as

Postoperative ComplicationsBariatric SurgeryBiopsyCross-Sectional StudiesFatty LiverFemaleHumansLiverMagnetic Resonance ImagingMaleMiddle AgedObesity, MorbidProspective StudiesReproducibility of ResultsBariatric surgeryFatty liverMagnetic resonance imaging

Identifiers

PMID30547206
PMCPMC6483076
OpenAlexW2905219701

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.