Evidence map›Paper›PMID 27131511›Full record

ArticleBone2016

Impact of radiographic vertebral fractures on inpatient healthcare utilization in older women.

Jane A Cauley, Li-Yung Lui, Misti L Paudel, Brent C Taylor, Peggy M Cawthon, Teresa A Hillier, John T Schousboe, Charles E McCulloch, Kristine E Ensrud

Open access · greenAbstract read
In one paragraph

Article in Bone, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Vertebral fracture: epidemiology, impact and use of DXA vertebral fracture assessment in fracture liaison services.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
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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

9 authors at 6 institutions in 1 country.

Jane A CauleyDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, United States. Electronic address: jcauley@edc.pitt.edu.
Li-Yung LuiCalifornia Pacific Medical Center Research Institute, San Francisco, CA, United States. Electronic address: LLui@psg.ucsf.edu.
Misti L PaudelNORC at the University of Chicago, Health Care Department, Bethesda, MD, United States. Electronic address: ames0047@umn.edu.
Brent C TaylorNORC at the University of Chicago, Health Care Department, Bethesda, MD, United States; Department of Medicine, University of Minnesota, Minneapolis, MN, United States; Center for Chronic Disease Outcomes Research, VA Health Care System, Minneapolis, MN, United States. Electronic address: taylorbc@umn.edu.
Peggy M CawthonCalifornia Pacific Medical Center Research Institute, San Francisco, CA, United States. Electronic address: PCawthon@sfcc-cpmc.net.
Teresa A HillierCenter for Health Research, Kaiser Permanente Northwest, Portland, OR, United States. Electronic address: Teresa.Hillier@kpchr.org.
John T SchousboePark Nicollet Clinic, St. Louis Park, MN, United States; Division of Health Policy & Management, University of Minnesota, Minneapolis, MN, United States. Electronic address: John.Schousboe@ParkNicollet.com.
Charles E McCullochUniversity of California, San Francisco, San Francisco, CA, United Sates. Electronic address: Charles.McCulloch@ucsf.edu.
Kristine E EnsrudNORC at the University of Chicago, Health Care Department, Bethesda, MD, United States; Department of Medicine, University of Minnesota, Minneapolis, MN, United States; Center for Chronic Disease Outcomes Research, VA Health Care System, Minneapolis, MN, United States. Electronic address: Kristine.Ensrud@va.gov.
University of Minnesota · USCalifornia Pacific Medical Center · USKaiser Permanente Center for Health Research · USUniversity of California, San Francisco · USUniversity of Chicago · USUniversity of Pittsburgh · US

Funding

Study of Osteoporotic FracturesR01AG005407 · NIA · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI CUMMINGS, STEVEN RON, YAFFE, KRISTINE · 1986 to 2016
$23.2M
Study of Osteoporotic FracturesR01AG005394 · NIA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ENSRUD, KRISTINE · 1986 to 2015
$6.1M
STUDY OF OSTEOPOROTIC FRACTURES: VERTEBRAL FRACTURESR01AR035583 · NIAMS · KAISER FOUNDATION RESEARCH INSTITUTE · PI HILLIER, TERESA A · 1986 to 2005
$3.2M
Study of Osteoporotic Fractures (SOF)R01AG027574 · NIA · KAISER FOUNDATION RESEARCH INSTITUTE · PI HILLIER, TERESA A · 2006 to 2015
$2.6M
Study of Osteoporotic Fractures (SOF)-Pittsburgh ClinicR01AG027576 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE ANN · 2006 to 2015
$2.4M
Study of Osteoporotic FracturesR01AR035582 · NIAMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CAULEY, JANE · 1986 to 2005
$2.4M
Study of Osteoporotic FracturesR01AR035584 · NIAMS · UNIVERSITY OF MARYLAND BALTIMORE · PI HOCHBERG, MARC C. · 1986 to 2005
$2.1M
NIAMS NIH HHS R01 AR035582NIAMS NIH HHS R01 AR035583NIAMS NIH HHS R01 AR035584NIA NIH HHS R01 AG005394NIA NIH HHS R01 AG005407NIA NIH HHS R01 AG027574NIA NIH HHS R01 AG027576
6 · The paper itself

Abstract

backgroundVertebral fractures (VFx) are the most common osteoporotic fracture and are associated with higher risk of impaired function, additional fractures and death. The purpose of this analysis was to test the hypotheses that VFx are also associated with greater inpatient healthcare utilization.

methodsWe studied 4709 Caucasian women enrolled in the Study of Osteoporotic Fractures (SOF) and merged SOF cohort data with Medicare claims or Kaiser encounter data. To be included in this analysis, women had to be enrolled in Medicare Fee for Service or Kaiser as of 1/1/1991 and have radiographic information on VFx status at SOF Visit 3 (1991-92). VFx status was assessed using quantitative morphometry on lateral thoracic and lumbar spine radiographs. Prevalent VFx were defined as any height ratio>3 standard deviations below normal. Women were considered to have a clinical VFx if they reported a new diagnosis of VFx and a clinical radiographic report that confirmed that a VFx was present. Any hospitalization and the number of annualized days of hospitalization were identified through inpatient claims or encounter data. Specific hospitalizations for 5 major common reasons for hospitalizations were also examined.

resultsOver 5-years, 2632 (55.9%) women were hospitalized. In multivariate adjusted models, women with a prevalent radiographic VFx were 21% (95% CI, 2-44%) more likely to be hospitalized for any reason. This association was independent of a number of risk factors including smoking. The annualized rate of inpatient day was, however, similar, 1.67 and 1.48 among women with and without a VFx, respectively, p=0.49. Women with an incident clinical VFx were more likely to be hospitalized including women without evidence of a prevalent radiographic VFx (odds ratio (OR)=5.33; 95% confidence interval (CI)=1.81-15.71) and women with a prevalent radiographic VFx (OR=2.13; 95% CI, 1.05-4.33). Women with a VFx were more likely to be hospitalized specifically for hip fracture or chronic obstructive pulmonary disease (COPD) but not stroke, myocardial infarction or congestive heart failure. The association with COPD was attenuated to non-significance after adjusting for smoking.

conclusionOur results extend the potential public health impact of radiographic and clinical VFx to include an increased risk of any hospitalization.

Indexed as

InpatientsAgedDelivery of Health CareFemaleHospitalizationHumansProportional Hazards ModelsSpinal FracturesEpidemiologyHealthcare utilizationHealth economicsHealth services researchOsteoporosisVertebral fractures

Identifiers

PMID27131511
PMCPMC4899246
OpenAlexW2343247209

What OpenQuestion holds

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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.