Evidence map›Paper›PMID 35384351›Full record

ArticleObesity (Silver Spring, Md.)2022

Validity of dual-energy x-ray absorptiometry for estimation of visceral adipose tissue and visceral adipose tissue change after surgery-induced weight loss in women with severe obesity.

Maxine Ashby-Thompson, Stanley Heshka, Bridgette Rizkalla, Rosalie Zurlo, Thaisa Lemos, Isaiah Janumala, Bret Goodpaster, James DeLany, Anita Courcoulas, Gladys Strain and 5 more

Open access · greenAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 29% 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, 8 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

15 authors at 7 institutions in 2 countries.

Maxine Ashby-ThompsonNew York Nutrition Obesity Research Center, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.ORCID 0000-0001-9752-2208
Stanley HeshkaNew York Nutrition Obesity Research Center, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
Bridgette RizkallaNew York Nutrition Obesity Research Center, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
Rosalie ZurloDivision of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
Thaisa LemosNew York Nutrition Obesity Research Center, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
Isaiah JanumalaNew York Nutrition Obesity Research Center, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
Bret GoodpasterAdventHealth Orlando, Translational Research Institute, Orlando, Florida, USA.
James DeLanyAdventHealth Orlando, Translational Research Institute, Orlando, Florida, USA.
Anita CourcoulasDepartment of Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Gladys StrainDivision of Metabolic and Bariatric Surgery, Weill Cornell Medical College, Cornell University, New York, New York, USA.
Alfons PompDepartment of Surgery, University of Montréal, Montréal, Quebec, Canada.
Patrick KangNew York Radiology Partners, New York, New York, USA.
Susan LinNew York Nutrition Obesity Research Center, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
John ThorntonNew York Nutrition Obesity Research Center, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.
Dympna GallagherNew York Nutrition Obesity Research Center, Columbia University Irving Medical Center, Columbia University, New York, New York, USA.ORCID 0000-0003-1769-9754
Columbia University Irving Medical Center · USAdventHealth Orlando · USCornell University · USSeton Education Partners · USUniversité de Montréal · CAUniversity of Pittsburgh · USUniversity of South Florida · US

Funding

RESEARCH TRAININGP30DK026687 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI Anthony W Ferrante, DYMPNA GALLAGHER · 1986 to 2026
$33.0M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Predictors of Recidivism to Obesity in Weight-Reduced IndividualsUH3DK128302 · NIDDK · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DYMPNA GALLAGHER, RUDOLPH L LEIBEL · 2022 to 2026
$7.0M
Body Composition &REE Responses to Bariatric SurgeriesR01DK072507 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI GALLAGHER, DYMPNA · 2005 to 2015
$4.8M
OBESITY RESEARCH CENTER TRAINING PROGRAMT32DK007559 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI DYMPNA GALLAGHER · 1989 to 2026
$4.3M
NCATS NIH HHS UL1 TR000040NIDDK NIH HHS P30 DK026687NIDDK NIH HHS R01 DK072507NIDDK NIH HHS T32 DK007559NIDDK NIH HHS UH3 DK128302
6 · The paper itself

Abstract

objectiveReliable and simple methods to quantify visceral adipose tissue (VAT) and VAT changes are needed. This study investigated the validity of dual-energy x-ray absorptiometry (DXA) compared with magnetic resonance imaging (MRI) for estimating VAT cross sectionally and longitudinally after surgery-induced weight loss in women with severe obesity.

methodsWomen with obesity (n = 36; mean age 43 [SD 10] years; 89% White) with DXA and MRI before bariatric surgery (T0) at 12 (T12) and 24 months (T24) post surgery were included. CoreScan (GE Healthcare, Chicago, Illinois) estimated VAT from 20% of the distance between the top of the iliac crest and the base of the skull. MRI VAT (total VAT) was measured from the base of the heart to the sacrum/coccyx on a whole-body scan.

resultsMean DXA VAT was 45% of MRI VAT at T0, 46% at T12, and 68% at T24. DXA underestimated change in MRI VAT between T0 and T12 by 26.1% (0.81 kg, p = 0.03) and by 71.7% (0.43 kg, p < 0.001) between T12 and T24. The relationship between DXA VAT and MRI VAT differed between T12 and T24 (p value for interaction = 0.03).

conclusionsCoreScan lacks validity for comparing VAT across individuals or for estimating the size of changes within individuals; however, within the limits of measurement error, it may provide a useful indicator of whether some VAT change has occurred within an individual.

Indexed as

Intra-Abdominal FatObesity, MorbidAbsorptiometry, PhotonAdipose TissueAdultFemaleHumansWeight LossWhole Body Imaging

Identifiers

PMID35384351
PMCPMC10001428
OpenAlexW4224952603

What OpenQuestion 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 OpenQuestion graph.