Evidence map›Paper›PMID 27162092›Full record

ArticleKidney international2016

Impaired postprandial lipemic response in chronic kidney disease.

Jeffrey M Saland, Lisa M Satlin, Jeanna Zalsos-Johnson, Serge Cremers, Henry N Ginsberg

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Kidney international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06592209 (Body Electric), which is not on this map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 12% 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.

NCT06592209 nacompletednot on this mapstarted 2023, after this paper: background citation

Body Electric: a Pragmatic Trial Evaluating Movement Breaks As a Public Health Strategy to Mitigate the Harms of Prolonged Sedentary Behavior

TypeinterventionalSponsorColumbia UniversityRan2023 to 2023Enrolled20,217ConditionsSedentary BehaviorArmsSedentary Breaks
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
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 at 2 institutions in 1 country.

Jeffrey M SalandDepartment of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY, USA. Electronic address: Jeff.Saland@MSSM.edu.
Lisa M SatlinDepartment of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Jeanna Zalsos-JohnsonDepartment of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Serge CremersDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA; The Irving Institute for Clinical and Translational Research, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Henry N GinsbergDepartment of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA; The Irving Institute for Clinical and Translational Research, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Icahn School of Medicine at Mount Sinai · USColumbia University · US

Funding

MSHS Translational Science HubUL1TR001433 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WRIGHT, ROSALIND J · 2015 to 2019
$26.6M
MOUNT SINAI INSTITUTES FOR CLINICAL AND TRANSLATIONAL SCIENCESUL1RR029887 · NCRR · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2009 to 2011
$19.2M
Mount Sinai Institutes for Clinical and Translational SciencesUL1TR000067 · NCATS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI SAMPSON, HUGH A · 2012 to 2014
$16.5M
Dyslipidemia in Chronic Kidney DiseaseK23DK071871 · NIDDK · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SALAND, JEFFREY M · 2005 to 2009
$665k
NCATS NIH HHS UL1 TR000067NCATS NIH HHS UL1 TR001433NCRR NIH HHS UL1 RR029887NIDDK NIH HHS K23 DK071871
6 · The paper itself

Abstract

Dyslipidemia in chronic kidney disease (CKD) is usually characterized by hypertriglyceridemia. Here we studied postprandial lipemia in children and young adults to determine whether an increasing degree of CKD results in a proportional increase in triglyceride and chylomicron concentration. Secondary goals were to determine whether subnephrotic proteinuria, apolipoprotein (apo)C-III and insulin resistance modify the CKD effect. Eighteen fasting participants (mean age of 15 years, mean glomerular filtration rate (GFR) of 50 ml/min/1.73 m(2)) underwent a postprandial challenge with a high fat milkshake. Triglycerides, apoB-48, insulin, and other markers were measured before and 2, 4, 6, and 8 hours afterward. Response was assessed by the incremental area under the curve of triglycerides and of apoB-48. The primary hypothesis was tested by correlation to estimated GFR. Significantly, for every 10 ml/min/1.73 m(2) lower estimated GFR, the incremental area under the curve of triglycerides was 17% greater while that of apoB-48 was 16% greater. Univariate analyses also showed that the incremental area under the curve of triglycerides and apoB-48 were significantly associated with subnephrotic proteinuria, apoC-III, and insulin resistance. In multivariate analysis, CKD and insulin resistance were independently associated with increased area under the curve and were each linked to increased levels of apoC-III. Thus, postprandial triglyceride and chylomicron plasma excursions are increased in direct proportion to the degree of CKD. Independent effects are associated with subclinical insulin resistance and increased apoC-III is linked to both CKD and insulin resistance.

Indexed as

AdolescentAdultApolipoprotein B-48Apolipoprotein C-IIIChildChylomicronsFastingFemaleGlomerular Filtration RateHumansHypertriglyceridemiaInsulin ResistanceMalePostprandial PeriodProteinuriaRenal Insufficiency, ChronicApolipoprotein B-48Apolipoprotein C-IIIChylomicronsTriglycerideschronic kidney diseaseinsulin resistancelipidsnutritionpediatric nephrology

Identifiers

PMID27162092
PMCPMC4912421
OpenAlexW2346300518

What OpenQuestion holds

Textmetadata
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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.