Evidence map›Paper›PMID 39289216›Full record

ArticleRheumatology international2024

Suboptimal osteoporosis care in hospitalized patients: a retrospective analysis of vertebral compression fractures detected on computed tomography.

Artem Minalyan, Terrence Li, Kathleena D'Anna, Nasam Alfraji, Lilit Gabrielyan, Christina Downey

Abstract read
In one paragraph

Article in Rheumatology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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

6 authors.

Artem MinalyanDivision of Rheumatology, Department of Medicine, Loma Linda University Health, Loma Linda, CA, USA. a.minalyan@gmail.com.ORCID 0000-0003-3665-8026
Terrence LiDepartment of Radiology, Loma Linda University Health, Loma Linda, CA, USA.ORCID 0000-0002-0951-7060
Kathleena D'AnnaDivision of Rheumatology, Department of Medicine, Loma Linda University Health, Loma Linda, CA, USA.ORCID 0009-0008-4650-995X
Nasam AlfrajiDivision of Rheumatology, Department of Medicine, Loma Linda University Health, Loma Linda, CA, USA.ORCID 0000-0002-1770-6750
Lilit GabrielyanDepartment of Chemistry, University of Redlands, Redlands, CA, USA.ORCID 0009-0005-1325-5744
Christina DowneyDivision of Rheumatology, Department of Medicine, Loma Linda University Health, Loma Linda, CA, USA.ORCID 0000-0002-8285-5701

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vertebral compression fractures (VCFs) are the most common osteoporotic fractures. Only 1/3 of patients with VCFs are clinically diagnosed. In our institution, the Fracture Liaison Service (FLS) was launched in 2017 to improve osteoporosis management for hospitalized patients. (1) To assess osteoporosis awareness among medical providers for emergency department (ED)/hospitalized patients aged 50 or greater; (2) To estimate the rate of FLS consults or referrals to primary care providers (FLS/PCP) by primary teams. A centralized radiology system was used to examine all thoracic and lumbar computed tomography (CT) scans conducted between June 1, 2017 and June 1, 2022. 449 studies were identified with the radiologic impression "compression fracture". 182 studies were excluded after manual chart review. 267 hospitalizations/ED visits with lumbar and/or thoracic spine CT scans were included. Referrals to FLS (26) or PCP (27) were made in 53 cases (~ 20% of the total). In the ED subgroup (131 hospitalizations), only 17 patients had FLS/PCP referrals. The "compression fracture" was mentioned in 227 (85%) discharge notes (any part), while "osteoporosis" was mentioned in only 74 (28%) hospitalizations. A statistically significant difference was found between the two groups when "osteoporosis" was mentioned in the "assessment and plan" section (p = 0.02). Our data show that the overall osteoporosis care for affected patients is suboptimal. Medical providers often overlook the presence of osteoporosis, leading to a lack of consultation with the FLS of referral to PCPs for further evaluation and treatment.

Indexed as

Fractures, CompressionHospitalizationOsteoporosisOsteoporotic FracturesReferral and ConsultationSpinal FracturesTomography, X-Ray ComputedAgedAged, 80 and overEmergency Service, HospitalFemaleHumansLumbar VertebraeMaleMiddle AgedRetrospective StudiesCompression fractureFragilityOsteoporosisVertebral

Identifiers

PMID39289216
PMCPMC11424647

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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.