Evidence map›Paper›PMID 28625918›Full record

ArticleBone2017

Body composition by DXA.

John A Shepherd, Bennett K Ng, Markus J Sommer, Steven B Heymsfield

4 registry-linked trialsAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bone, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 259 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
259citing papers in PubMed, 5 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.

NCT04514146 completednot on this mapstarted 2020, after this paper: background citation

A Pilot Study on the Effects of Water-only Fasting and Refeeding on Body Composition and Insulin Resistance

TypeobservationalSponsorTrueNorth Health FoundationRan2020 to 2021Enrolled48ConditionsVisceral Obesity, Insulin ResistanceArmsWater-only fasting
NCT05265988 phase2completednot on this mapstarted 2021, after this paper: background citation

Multiparametric Assessment of Bone Response in mCRPC Patients Treated With Cabozantinib Upon Progression to Chemotherapy and Next Generation Hormonal Agents: a Phase II Study

TypeinterventionalSponsorAlfredo BerrutiRan2021 to 2024Enrolled32ConditionsCarcinoma ProstateArmsCabozantinib
NCT06545435 recruitingnot on this mapstarted 2021, after this paper: background citation

Predicting Appendicular Lean and Fat Mass With Bioelectrical Impedance Analysis Among Adult Patients With Obesity.

TypeobservationalSponsorUniversity of Roma La SapienzaRan2021 to 2025Enrolled400ConditionsObesity
NCT06935903 completednot on this mapstarted 2023, after this paper: background citation

Assessment of Physical Capacity and Metabolic Parameters in Marathon Runners With Type 1 Diabetes: an Observational Study

TypeobservationalSponsorPoznan University of Medical SciencesRan2023 to 2023Enrolled10ConditionsType 1 Diabetes (T1D)
3 · Its place in the literature

Who cites it

259 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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199 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

4 authors.

John A ShepherdUCSF, School of Medicine, 1 Irving Street, 94930 San Francisco, CA. Electronic address: john.shepherd@ucsf.edu.
Bennett K NgUCSF, School of Medicine, 1 Irving Street, 94930 San Francisco, CA.
Markus J SommerUCSF, School of Medicine, 1 Irving Street, 94930 San Francisco, CA.
Steven B HeymsfieldUCSF, School of Medicine, 1 Irving Street, 94930 San Francisco, CA.

Funding

UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
Shape up! KidsR01DK111698 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI HEYMSFIELD, STEVEN, SHEPHERD, JOHN ALAN · 2017 to 2021
$3.3M
Optical Body Composition and Health AssessmentR01DK109008 · NIDDK · UNIVERSITY OF HAWAII AT MANOA · PI HEYMSFIELD, STEVEN, SHEPHERD, JOHN ALAN · 2016 to 2020
$3.2M
NIDDK NIH HHS P30 DK098722NIDDK NIH HHS R01 DK109008NIDDK NIH HHS R01 DK111698
6 · The paper itself

Abstract

Body composition measurements from DXA have been available since DXA technology was developed 30years ago, but are historically underutilized. Recently, there have been rapid developments in body composition assessment including the analysis and publication of representative data for the US, official usage guidance from the International Society for Clinical Densitometry, and development of regional body composition measures with clinical utility. DXA body composition is much more than whole body percent fat. In this paper celebrating 30years of DXA for body composition, we will review the principles of DXA soft tissue analysis, practical clinical and research applications, and what to look for in the future.

Indexed as

Absorptiometry, PhotonBariatricsBody CompositionBody SizeHumansOsteoporosisBariatricsCurrent and future useSarcopeniaTotal body DXA in athletes

Identifiers

PMID28625918
PMCPMC5659281

What OpenQuestion holds

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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.