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Volumetric Markers of Body Composition May Improve Personalized Prediction of Major Arterial Bleeding After Pelvic Fracture: A Secondary Analysis of the Baltimore CT Prediction Model Cohort

Canadian Association of Radiologists Journal(2020)10.1177/0846537120952508Source: DataRank Database

Volumetric Markers of Body Composition May Improve Personalized Prediction of Major Arterial Bleeding After Pelvic Fracture: A Secondary Analysis of the Baltimore CT Prediction Model Cohort is a research paper published in Canadian Association of Radiologists Journal (2020). On theSindex it has a DataRank of 0. It has been cited 4 times.

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Open Access4 citations

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Enrichment:Funding (4 grants)Impact (FWCI 0.59)OA: greenTopics (35)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Remberto Rosales,Guang Li ORCID,Hassan Syed ORCID,Rong Chen ORCID,David Dreizin ORCID

Live enrichment

PubMed:32910695 PMC:PMC8011455 OpenAlex:https://openalex.org/W3084691854

RSNA Research and Education Foundation

Grant: RSCH #1605

university of maryland

Grant: Accelerated Translational Incubator Pilot (ATIP) A

national institutes of health

Grant: NIBIB NIH K08 EB027141-01A1

NIBIB NIH HHS

Grant: K08 EB027141

FWCI

0.59

Citation Percentile

0.7%

Citation Trend

2021

2023

2026

greenLicense: https://journals.sagepub.com/page/policies/text-and-data-mining-license

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8011455

publisherhttps://journals.sagepub.com/doi/pdf/10.1177/0846537120952508

publisherhttps://journals.sagepub.com/doi/full-xml/10.1177/0846537120952508

journalhttps://doi.org/10.1177/0846537120952508

Fields of Study

Pelvic and Acetabular InjuriesHip and Femur FracturesAbdominal Trauma and Injuries

MeSH Terms

Body CompositionFemaleHemorrhageHumansMaleMiddle AgedPelvic BonesPredictive Value of TestsRetrospective StudiesTomography, X-Ray ComputedBaltimoreCohort StudiesFractures, Bone

Keywords

MedicineCohortReceiver operating characteristicRetrospective cohort studyRadiologyHounsfield scalePelvisAkaike information criterionNuclear medicineSurgeryInternal medicineComputed tomographyCTPelvic FracturesQuantitative ImagingMultivariable ModelingBody Composition BiomarkersPrecision DiagnosticsPersonalized Prediction

Sustainable Development Goals

SDG 0: Peace, Justice and strong institutions

Volumetric Markers of Body Composition May Improve Personalized Prediction of Major Arterial Bleeding After Pelvic Fracture: A Secondary Analysis of the Baltimore CT Prediction Model Cohort

FAIR Checklist

Authors (5)

Funding (4 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)