Evidence map›Paper›PMID 26392166›Full record

ArticleJPEN. Journal of parenteral and enteral nutrition2016

Measuring Abdominal Circumference and Skeletal Muscle From a Single Cross-Sectional Computed Tomography Image: A Step-by-Step Guide for Clinicians Using National Institutes of Health ImageJ.

Sandra L Gomez-Perez, Jacob M Haus, Patricia Sheean, Bimal Patel, Winnie Mar, Vivek Chaudhry, Liam McKeever, Carol Braunschweig

Erratum issued Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in JPEN. Journal of parenteral and enteral nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03644030 (Comparative Assessment of Phase Angle, Lean Body Mass Index and Tissue Edema to Assess the Nutritional Status and Immediate Outcome of Cardiac Surgery Patients), which is not on this map. Cited by 136 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 3% 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.

NCT03644030 completednot on this mapstarted 2018, after this paper: background citation

Comparative Assessment of Phase Angle, Lean Body Mass Index and Tissue Edema to Assess the Nutritional Status and Immediate Outcome of Cardiac Surgery Patients:an Open, Prospective Study of Observation / Recording

TypeobservationalSponsorAristotle University Of ThessalonikiRan2018 to 2019Enrolled179ConditionsSarcopenia, Post-operative Infections, Sepsis
3 · Its place in the literature

Who cites it

136 citing papers in PubMed, 3 syntheses or guidelines pooled it, 270 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

76 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Sandra L Gomez-PerezUniversity of Illinois at Chicago, Chicago, Illinois.
Jacob M HausUniversity of Illinois at Chicago, Chicago, Illinois.
Patricia SheeanLoyola University Chicago, Maywood, Illinois.
Bimal PatelJohn H. Stroger Hospital, Chicago, Illinois.
Winnie MarUniversity of Illinois Hospital & Health Sciences System, Chicago, Illinois.
Vivek ChaudhryJohn H. Stroger Hospital, Chicago, Illinois.
Liam McKeeverUniversity of Illinois at Chicago, Chicago, Illinois.
Carol BraunschweigUniversity of Illinois at Chicago, Chicago, Illinois braunsch@uic.edu.
University of Illinois Chicago · USJohn H. Stroger, Jr. Hospital of Cook County · USLoyola University Chicago · US

Funding

UIC CANCER PREVENTION &CONTROL RESEARCH TRAINING GRANTR25CA057699 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FITZGIBBON, MARIAN L. · 1992 to 2017
$8.2M
NCI NIH HHS 5R25-CA057699NCI NIH HHS R25 CA057699
6 · The paper itself

Abstract

Diagnostic computed tomography (CT) scans provide numerous opportunities for body composition analysis, including quantification of abdominal circumference, abdominal adipose tissues (subcutaneous, visceral, and intermuscular), and skeletal muscle (SM). CT scans are commonly performed for diagnostic purposes in clinical settings, and methods for estimating abdominal circumference and whole-body SM mass from them have been reported. A supine abdominal circumference is a valid measure of waist circumference (WC). The valid correlation between a single cross-sectional CT image (slice) at third lumbar (L3) for abdominal SM and whole-body SM is also well established. Sarcopenia refers to the age-associated decreased in muscle mass and function. A single dimensional definition of sarcopenia using CT images that includes only assessment of low whole-body SM has been validated in clinical populations and significantly associated with negative outcomes. However, despite the availability and precision of SM data from CT scans and the relationship between these measurements and clinical outcomes, they have not become a routine component of clinical nutrition assessment. Lack of time, training, and expense are potential barriers that prevent clinicians from fully embracing this technique. This tutorial presents a systematic, step-by-step guide to quickly quantify abdominal circumference as a proxy for WC and SM using a cross-sectional CT image from a regional diagnostic CT scan for clinical identification of sarcopenia. Multiple software options are available, but this tutorial uses ImageJ, a free public-domain software developed by the National Institutes of Health.

Indexed as

SoftwareTomography, X-Ray ComputedAdipose TissueBody CompositionFemaleGuidelines as TopicHumansLumbosacral RegionMaleMuscle, SkeletalNational Institutes of Health (U.S.)SarcopeniaUnited StatesWaist Circumferenceabdominal circumferencecomputed tomographysarcopeniaskeletal muscle

Identifiers

PMID26392166
PMCPMC4767633
OpenAlexW2181635775

What OpenQuestion holds

Textmetadata
LicenceTDM
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.