Evidence map›Paper›PMID 29066925›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2017

Estimating the prevalence of generalized and partial lipodystrophy: findings and challenges.

Elaine Chiquette, Elif A Oral, Abhimanyu Garg, David Araújo-Vilar, Praveen Dhankhar

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed, 3 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

82 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  17. Severe Insulin Resistance Syndromes: Clinical Spectrum and Management.International journal of molecular sciences · 2025
    Review
  18. The Role of theInternational journal of molecular sciences · 2025
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22 more citing papers are in PubMed but not listed here.

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

5 authors.

Elaine ChiquetteAegerion Pharmaceuticals, Cambridge, MA, USA.
Elif A OralBrehm Center for Diabetes Research and Metabolism, Endocrinology and Diabetes Division, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Abhimanyu GargDivision of Nutrition and Metabolic Diseases, Department of Internal Medicine, Center for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX, USA.
David Araújo-VilarDepartment of Medicine, UETeM, CIMUS School of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain.
Praveen DhankharComplete HEOR Solutions (CHEORS), North Wales, PA, USA.

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Genetic and Metabolic Basis of Familial LipodystrophiesR01DK105448 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI Abhimanyu Garg · 2015 to 2026
$6.5M
NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R01 DK105448
6 · The paper itself

Abstract

backgroundLipodystrophy (LD; non-human immunodeficiency virus [HIV]-associated) syndromes are a rare body of disorders for which true prevalence is unknown. Prevalence estimates of rare diseases are important to increase awareness and financial resources. Current qualitative and quantitative estimates of LD prevalence range from ~0.1 to 90 cases/million. We demonstrate an approach to quantitatively estimate LD prevalence (all, generalized, and partial) through a search of 5 electronic medical record (EMR) databases and 4 literature searches.

methodsEMR and literature searches were conducted from 2012 to 2014. For the EMR database searches (Quintiles, IMS LifeLink, General Electric Healthcare, and Humedica EMR), LD cases were identified by the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code 272.6 (United Kingdom General Practice Research Database used other diagnostic codes to identify LD) plus additional LD-associated clinical characteristics (patients with HIV or documented HIV treatment were excluded). Expert adjudication of cases was used for the Quintiles database only. Literature searches (PubMed and EMBASE) were conducted for each of the 4 major LD subtypes. Prevalence estimates were determined by extrapolating the total number of cases identified for each search to the database population (EMR search) and European population (literature search).

resultsThe prevalence range of all LD across all EMR databases was 1.3-4.7 cases/million. For the adjudicated Quintiles search, the estimated prevalence of diagnosed LD was 3.07 cases/million (95% confidence interval [CI], 2.30-4.02), 0.23 cases/million (95% CI, 0.06-0.59) and 2.84 cases/million (95% CI, 2.10-3.75) for generalized lipodystrophy (GL) and partial lipodystrophy (PL), respectively. For all literature searches, the prevalence of all LD in Europe was 2.63 cases/million (0.96 and 1.67 cases/million for GL and PL, respectively).

conclusionLD prevalence estimates are at the lower range of previously established numbers, confirming that LD is an ultra-rare disease. The establishment of diagnostic criteria and coding specific to the 4 major LD subtypes and future studies/patient registries are needed to further refine our estimates.

Indexed as

adipose tissueatypical diabetesdyslipidemiahypertriglyceridemiainsulin resistancelipodystrophyprevalence

Identifiers

PMID29066925
PMCPMC5604558

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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.