Evidence map›Paper›PMID 35340470›Full record

ArticleCureus2022

New Model for Osteoporosis Risk Screening Using Emergency Department Visits.

Andrew Alabd, Andre Alabd, Matthew Miller, Carrie Walsh, Alex Silverman, Nooreen Dabbish, Chol Kuoiloi, Stanton Miller

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 97% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 3 institutions in 1 country.

Andrew AlabdDepartment of Medicine, Cooper University Hospital, Camden, USA.
Andre AlabdDepartment of Urology, Indiana University Health, Indianapolis, USA.
Matthew MillerEmergency Medicine, Thomas Jefferson University Hospital, Philadelphia, USA.
Carrie WalshEmergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, USA.
Alex SilvermanEmergency Medicine, Thomas Jefferson University Hospital, Philadelphia, USA.
Nooreen DabbishStatistics, Thomas Jefferson University Hospital, Philadelphia, USA.
Chol KuoiloiResearch, Thomas Jefferson University Hospital, Philadelphia, USA.
Stanton MillerEmergency Medicine, Thomas Jefferson University Hospital, Philadelphia, USA.
Thomas Jefferson University Hospital · USIndiana University – Purdue University Indianapolis · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Even though osteoporosis is the most common bone disease in the United States, it is frequently underscreened and underdiagnosed. In this study, we aimed to utilize the Emergency Department to conduct preemptive osteoporosis risk screening and assess the risk associated with gender and race based on a statistical analysis of survey responses. Methodology Patients >40 years of age presenting at two Emergency Departments were eligible. Consenting patients were asked questions from a modified

Indexed as

fracturehealth maintenancemodifiable risk factorsosteoporosisscreening

Identifiers

PMID35340470
PMCPMC8929475
OpenAlexW4212785219

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.