Evidence map›Paper›PMID 35150320›Full record

ArticleArchives of osteoporosis2022

Race and Age Impact Osteoporosis Screening Rates in Women Prior to Hip Fracture.

Gregory Benes, Justin David, Molly Synowicz, Alex Betech, Vinod Dasa, Peter C Krause, Deryk Jones, Lauren Hall, Lauren Leslie, Andrew G Chapple

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of osteoporosis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Article
  3. Screening for Osteoporosis in Nonagenarians: A Scoping Review.Journal of the American Geriatrics Society · 2025
    Article
  4. Article
  5. Article
  6. Physician-Reported Barriers to Osteoporosis Screening: A Nationwide Survey.Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists · 2023
    Article
  7. Article
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

10 authors at 3 institutions in 1 country.

Gregory BenesLouisiana State University Health Sciences Center School of Medicine, 1901 Perdido St, New Orleans, LA, 70112, USA. gbenes@lsuhsc.edu.
Justin DavidLouisiana State University Health Sciences Center School of Medicine, 1901 Perdido St, New Orleans, LA, 70112, USA.
Molly SynowiczUniversity of Toledo General Surgery Residency Program, Toledo, OH, USA.
Alex BetechOrthopedics Department, School of Medicine, LSU Health Sciences Center, New Orleans, LA, USA.
Vinod DasaOrthopedics Department, School of Medicine, LSU Health Sciences Center, New Orleans, LA, USA.
Peter C KrauseOrthopedics Department, School of Medicine, LSU Health Sciences Center, New Orleans, LA, USA.
Deryk JonesOchsner Sports Medicine Institute, Jefferson, LA, USA.
Lauren HallBaylor Scott & White Health Research Institute, Dallas, TX, USA.
Lauren LeslieOchsner Sports Medicine Institute, Jefferson, LA, USA.
Andrew G ChappleOrthopedics Department, School of Medicine, LSU Health Sciences Center, New Orleans, LA, USA.
Louisiana State University Health Sciences Center New Orleans · USBaylor Scott & White Health · USUniversity of Toledo · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bone mineral density screening and clinical risk factors are important to stratify individuals for increased risk of fracture. In a population with no history of fractures or baseline bone density measurement, black women were less likely to be screened than white counterparts prior to hip fracture. PURPOSE: To evaluate overall BMD (bone mineral density) screening rates within two years of hip fracture and to identify any disparities for osteoporosis screening or treatment in a female cohort who were eligible for screening under insurance and national recommendations.

methodsData were obtained from 1,109 female patients listed in the Research Action for Health Network (REACHnet) database, which consists of multiple health partner systems in Louisiana and Texas. Patients < 65 years old or with a history of hip fracture or osteoporosis diagnosis, screening or treatment more than 2 years before hip fracture were removed.

resultsOnly 223 (20.1%) females were screened within the two years prior to hip fracture. Additionally, only 23 (10%) of the screened patients received treatment, despite 187 (86.6%) patients being diagnosed with osteoporosis or osteopenia. Screening rates reached a maximum of 27.9% in the 75-80 age group, while the 90 + age group had the lowest screening rates of 12%. We found a quadratic relationship between age and screening rates, indicating that the screening rate increases in age until age 72 and then decreases starkly. After adjusting for potential confounders, we found that black patients had significantly decreased screening rates compared to white patients (adjusted OR = .454, 95% CI = .227-.908, p value = .026) which held in general and for patient ages 65-97.

conclusionDespite national recommendations, overall BMD screening rates among women prior to hip fracture are low. If individuals are not initially screened when eligible, they are less likely to ever be screened prior to fracture. Clinicians should address racial disparities by recommending more screening to otherwise healthy black patients above the age of 65. Lastly, treatment rates need to increase among those diagnosed with osteoporosis since all patients went on to hip fracture.

Indexed as

Hip FracturesOsteoporosisAgedAged, 80 and overBlack PeopleBone DensityFemaleHumansMass ScreeningDisparitiesFracture preventionOsteoporosisScreening

Identifiers

PMID35150320
OpenAlexW4210998631

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.