Evidence map›Paper›PMID 33071956›Full record

ArticleFrontiers in endocrinology2020

Josefine Tratwal, David Bekri, Chiheb Boussema, Rita Sarkis, Nicolas Kunz, Tereza Koliqi, Shanti Rojas-Sutterlin, Frédérica Schyrr, Daniel Naveed Tavakol, Vasco Campos and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

28 citing papers in PubMed, 43 citations in OpenAlex.

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  14. Artificial Intelligence in Bone Marrow Histological Diagnostics: Potential Applications and Challenges.Pathobiology : journal of immunopathology, molecular and cellular biology · 2024
    Review
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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

18 authors at 5 institutions in 3 countries.

Josefine TratwalLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
David BekriLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Chiheb BoussemaLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Rita SarkisLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Nicolas KunzAnimal Imaging and Technology Core, Center for Biomedical Imaging, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Tereza KoliqiLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Shanti Rojas-SutterlinLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Frédérica SchyrrLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Daniel Naveed TavakolLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Vasco CamposLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Erica L SchellerDivision of Bone and Mineral Diseases, Department of Internal Medicine, Washington University, Saint Louis, MO, United States.
Rossella SarroInstitute of Pathology, Lausanne University Hospital (CHUV), Lausanne University (UNIL), Lausanne, Switzerland.
Carmen BárcenaDepartment of Pathology, University Hospital 12 de Octubre, Madrid, Spain.
Bettina BisigInstitute of Pathology, Lausanne University Hospital (CHUV), Lausanne University (UNIL), Lausanne, Switzerland.
Valentina NardiDepartment of Pathology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Laurence de LevalInstitute of Pathology, Lausanne University Hospital (CHUV), Lausanne University (UNIL), Lausanne, Switzerland.
Olivier BurriBioimaging and Optics Core Facility, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Olaia NaveirasLaboratory of Regenerative Hematopoiesis, Institute of Bioengineering and Institute for Experimental Cancer Research, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
École Polytechnique Fédérale de Lausanne · CHUniversity of Lausanne · CHMassachusetts General Hospital · USResearch Institute Hospital 12 de Octubre · ESWashington University in St. Louis · US

Funding

PERIPHERAL NERVE DISTRIBUTION AND FUNCTION WITHIN THE SKELETONU01DK116317 · NIDDK · WASHINGTON UNIVERSITY · PI SCHELLER, ERICA LYNN · 2017 to 2019
$1.1M
NIDDK NIH HHS U01 DK116317
6 · The paper itself

Abstract

The bone marrow (BM) exists heterogeneously as hematopoietic/red or adipocytic/yellow marrow depending on skeletal location, age, and physiological condition. Mouse models and patients undergoing radio/chemotherapy or suffering acute BM failure endure rapid adipocytic conversion of the marrow microenvironment, the so-called "red-to-yellow" transition. Following hematopoietic recovery, such as upon BM transplantation, a "yellow-to-red" transition occurs and functional hematopoiesis is restored. Gold Standards to estimate BM cellular composition are pathologists' assessment of hematopoietic cellularity in hematoxylin and eosin (H&E) stained histological sections as well as volumetric measurements of marrow adiposity with contrast-enhanced micro-computerized tomography (CE-μCT) upon osmium-tetroxide lipid staining. Due to user-dependent variables, reproducibility in longitudinal studies is a challenge for both methods. Here we report the development of a semi-automated image analysis plug-in,

Indexed as

AdipocytesAgingAnimalsBone and BonesBone Marrow CellsBone Marrow DiseasesFemaleMiceMice, Inbred C57BLStaining and LabelingWorkflowadipocytebone marrowcellularityhematopoietichematoxylin and eosinhistologypathologyskeleton

Identifiers

PMID33071956
PMCPMC7542184
OpenAlexW3037547768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.