Evidence map›Paper›PMID 30237235›Full record

ArticleDiabetes care2018

"Fat Shadows" From DXA for the Qualitative Assessment of Lipodystrophy: When a Picture Is Worth a Thousand Numbers.

Rasimcan Meral, Benjamin J Ryan, Noemi Malandrino, Abdelwahab Jalal, Adam H Neidert, Ranganath Muniyappa, Barış Akıncı, Jeffrey F Horowitz, Rebecca J Brown, Elif A Oral

Registry-linked trialOpen access · bronzeAbstract readValidation Study
In one paragraph

Article in Diabetes care, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02262832 (Compassionate Use of Metreleptin in Previously-Treated Patients With Generalized Lipodystrophy), which is not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 22% 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.

NCT02262832 phase3active not recruitingnot on this map

Compassionate Use of Metreleptin in Previously-Treated Patients With Generalized Lipodystrophy

TypeinterventionalSponsorNational Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)Ran2014 to 2027Enrolled24ConditionsLipodystrophy, Diabetes, HyperlipidemiaArmsMetreleptin
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Approach to the Patient With Lipodystrophy.The Journal of clinical endocrinology and metabolism · 2022
    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

10 authors at 3 institutions in 2 countries.

Rasimcan MeralDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI.ORCID 0000-0003-4026-5049
Benjamin J RyanSubstrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI.
Noemi MalandrinoDiabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
Abdelwahab JalalDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI.
Adam H NeidertDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI.
Ranganath MuniyappaDiabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
Barış AkıncıDivision of Endocrinology, Dokuz Eylül University, Izmir, Turkey.
Jeffrey F HorowitzSubstrate Metabolism Laboratory, School of Kinesiology, University of Michigan, Ann Arbor, MI.
Rebecca J BrownDiabetes, Endocrinology, and Obesity Branch, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD.
Elif A OralDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI eliforal@med.umich.edu.ORCID 0000-0002-9171-1144
University of Michigan · USNational Institutes of Health · USDokuz Eylül University · TR

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
University of Michigan Center for Gastrointestinal ResearchP30DK034933 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI OWYANG, CHUNG · 1986 to 2021
$22.5M
Pilot and Feasibility (P and F) ProgramP30DK089503 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Joyce Lee · 2010 to 2026
$20.3M
TRAINING PROGRAM IN ENDOCRINOLOGY AND METABOLISM.T32DK007245 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI RICHARD J. AUCHUS · 1986 to 2026
$7.2M
Molecular and Clinical Studies of Insulin ResistanceZIADK047050 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI BROWN, REBECCA · 2009 to 2025
$6.1M
Insulin sensitivity and fatty acid partitioning in skeletal muscle after exerciseR01DK077966 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HOROWITZ, JEFFREY F · 2010 to 2020
$4.9M
Effects of recombinant human leptin in nonalcoholic fatty liver disease (NAFLD)R01DK088114 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI CONJEEVARAM, HARI S, ORAL, ELIF ARIOGLU · 2011 to 2015
$1.7M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK034933NIDDK NIH HHS P30 DK089503NIDDK NIH HHS R01 DK077966NIDDK NIH HHS R01 DK088114NIDDK NIH HHS T32 DK007245
6 · The paper itself

Abstract

objectiveLipodystrophy syndromes are a heterogeneous group of disorders associated with selective absence of fat. Currently, the diagnosis is established only clinically. RESEARCH DESIGN AND

methodsWe developed a new method from DXA scans called a "fat shadow," which is a color-coded representation highlighting only the fat tissue. We conducted a blinded retrospective validation study to assess its usefulness for the diagnosis of lipodystrophy syndromes.

resultsWe evaluated the fat shadows from 16 patients (11 female and 5 male) with generalized lipodystrophy (GL), 57 (50 female and 7 male) with familial partial lipodystrophy (FPLD), 2 (1 female and 1 male) with acquired partial lipodystrophy, and 126 (90 female and 36 male) control subjects. FPLD was differentiated from control subjects with 85% sensitivity and 96% specificity (95% CIs 72-93 and 91-99, respectively). GL was differentiated from nonobese control subjects with 100% sensitivity and specificity (95% CIs 79-100 and 92-100, respectively).

conclusionsFat shadows provided sufficient qualitative information to infer clinical phenotype and differentiate these patients from appropriate control subjects. We propose that this method could be used to support the diagnosis.

Indexed as

Absorptiometry, PhotonAdipose TissueAdolescentAdultAgedFemaleHumansLipodystrophyMaleMiddle AgedRetrospective StudiesSyndromeYoung Adult

Identifiers

PMID30237235
PMCPMC6150431
OpenAlexW2891480657

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.