Evidence map›Paper›PMID 32038486›Full record

ReviewFrontiers in endocrinology2019

Standardised Nomenclature, Abbreviations, and Units for the Study of Bone Marrow Adiposity: Report of the Nomenclature Working Group of the International Bone Marrow Adiposity Society.

Nathalie Bravenboer, Miriam A Bredella, Christophe Chauveau, Alessandro Corsi, Eleni Douni, William F Ferris, Mara Riminucci, Pamela G Robey, Shanti Rojas-Sutterlin, Clifford Rosen and 2 more

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
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  17. GsαBone research · 2022
    Article
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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

12 authors.

Nathalie BravenboerDepartment of Clinical Chemistry, Amsterdam Movement Sciences, Amsterdam University Medical Center, Vrije Universiteit, Amsterdam, Netherlands.
Miriam A BredellaDepartment of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States.
Christophe ChauveauUniv. Littoral Côte d'Opale, Boulogne-sur-Mer, France.
Alessandro CorsiDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Eleni DouniBiological Sciences Research Center "Alexander Fleming", Athens, Greece.
William F FerrisDivision of Endocrinology, Department of Medicine, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa.
Mara RiminucciDepartment of Molecular Medicine, Sapienza University of Rome, Rome, Italy.
Pamela G RobeySkeletal Biology Section, NIDCR, NIH, DHHS, Bethesda, MD, United States.
Shanti Rojas-SutterlinInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, Canada.
Clifford RosenMaine Medical Research Center Institute, Scarborough, ME, United States.
Tim J SchulzGerman Institute of Human Nutrition Potsdam-Rehbrücke, Nuthetal, Germany.
William P CawthornBHF Centre for Cardiovascular Science, The Queen's Medical Research Institute, University of Edinburgh, Edinburgh, United Kingdom.

Funding

The role of stem cells in skeletal health and diseaseZIADE000380 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI ROBEY, PAMELA G · 2009 to 2025
$30.6M
The role of post-natal skeletal stem cells in health and diseaseZ01DE000380 · NIDCR · NATIONAL INSTITUTE OF DENTAL & CRANIOFACIAL RESEARCH · PI ROBEY, PAMELA GEHRON · 1985 to 2008
$3.6M
Bone Metabolism in Adolescents UndergoingBariatric SurgeryK24DK109940 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI BREDELLA, MIRIAM ANTOINETTE · 2017 to 2021
$970k
Interdisciplinary study of marrow adiposity, mineral metabolism,and energy balancR24DK084970 · NIDDK · MAINEHEALTH · PI HOROWITZ, MARK C, KLIBANSKI, ANNE · 2010 to 2010
$501k
Intramural NIH HHS Z01 DE000380Intramural NIH HHS ZIA DE000380Medical Research Council MR/M021394/1Medical Research Council MR/S010505/1NIDDK NIH HHS K24 DK109940NIDDK NIH HHS R24 DK084970
6 · The paper itself

Abstract

Research into bone marrow adiposity (BMA) has expanded greatly since the late 1990s, leading to development of new methods for the study of bone marrow adipocytes. Simultaneously, research fields interested in BMA have diversified substantially. This increasing interest is revealing fundamental new knowledge of BMA; however, it has also led to a highly variable nomenclature that makes it difficult to interpret and compare results from different studies. A consensus on BMA nomenclature has therefore become indispensable. This article addresses this critical need for standardised terminology and consistent reporting of parameters related to BMA research. The International Bone Marrow Adiposity Society (BMAS) was formed in 2017 to consolidate the growing scientific community interested in BMA. To address the BMA nomenclature challenge, BMAS members from diverse fields established a working group (WG). Based on their broad expertise, the WG first reviewed the existing, unsystematic nomenclature and identified terms, and concepts requiring further discussion. They thereby identified and defined 8 broad concepts and methods central to BMA research. Notably, these had been described using 519 unique combinations of term, abbreviation and unit, many of which were overlapping or redundant. On this foundation a second consensus was reached, with each term classified as "

Indexed as

bone marrow adipocytebone marrow adipose tissuebone marrow adipositycomputed tomographyhistomorphometryMRInomenclatureskeletal stem cells

Identifiers

PMID32038486
PMCPMC6993042

What OpenQuestion holds

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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.