Evidence map›Paper›PMID 30833814›Full record

ArticleNutrition and metabolic insights2019

The Value of Anthropometric Measures in Nutrition and Metabolism: Comment on Anthropometrically Predicted Visceral Adipose Tissue and Blood-Based Biomarkers: A Cross-Sectional Analysis.

Justin C Brown, Michael O Harhay, Meera N Harhay

Open access · goldAbstract readComment
In one paragraph

Article in Nutrition and metabolic insights, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Justin C BrownDana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA.ORCID https://orcid.org/0000-0001-7540-4913
Michael O HarhayPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Meera N HarhayCollege of Medicine, Drexel University, Philadelphia, PA, USA.
Drexel University · USHarvard University · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
Transdisciplinary Research in Energetics and Cancer (TREC) Training GrantR25CA203650 · NCI · YALE UNIVERSITY · PI IRWIN, MELINDA L · 2016 to 2025
$2.9M
Patterns and Implications of Functional Decline Among Kidney Transplant CandidatesK23DK105207 · NIDDK · DREXEL UNIVERSITY · PI HARHAY, MEERA NAIR · 2015 to 2019
$861k
Inflammation, Physical Activity, and Colon Cancer Recurrence and SurvivalK99CA218603 · NCI · DANA-FARBER CANCER INST · PI BROWN, JUSTIN C · 2017 to 2018
$260k
Improving the measurement and analysis of long-term, patient-centered outcomes following acute respiratory failureK99HL141678 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HARHAY, MICHAEL OSCAR · 2018 to 2019
$214k
NCI NIH HHS K99 CA218603NCI NIH HHS R25 CA203650NHLBI NIH HHS K99 HL141678NIDDK NIH HHS K23 DK105207NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

Visceral adipose tissue (VAT)-fat stored deep in the abdominal cavity that surrounds vital organs-is associated with a variety of chronic health conditions. Computed tomography and magnetic resonance imaging are the gold standards to quantify VAT. However, the high cost, limited accessibility, and potential exposure to radiation limit the use of these imaging modalities. In this commentary, we review the application of a previously validated regression equation that estimates anthropometrically predicted VAT (apVAT) to explain variance in blood-based biomarkers and predict mortality in a large sample of adults. In our first study (Brown et al. 2018

Indexed as

body compositioncohort studyinflammationinsulin resistanceObesity

Identifiers

PMID30833814
PMCPMC6393820
OpenAlexW2917003754

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.