Evidence map›Paper›PMID 27548843›Full record

ArticleJAMA internal medicine2016

Patterns of Prescription Drug Use Before and After Fragility Fracture.

Jeffrey C Munson, Julie P W Bynum, John-Erik Bell, Robert Cantu, Christine McDonough, Qianfei Wang, Tor D Tosteson, Anna N A Tosteson

Open access · greenAbstract read
In one paragraph

Article in JAMA internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
10.0field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  6. Geriatric trauma: there is more to it than just the implant!OTA international : the open access journal of orthopaedic trauma · 2024
    Review
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  16. Few fragility fracture patients perceive that their bone health is affected by their comorbidities and medications.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2020
    Article
  17. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Jeffrey C MunsonThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire2Department of Medicine, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Julie P W BynumThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire2Department of Medicine, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
John-Erik BellThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire3Department of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Robert CantuDepartment of Orthopaedics, Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire.
Christine McDonoughBoston University School of Public Health, Boston, Massachusetts.
Qianfei WangThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Tor D TostesonThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire5Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Anna N A TostesonThe Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire2Department of Medicine, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Dartmouth Institute for Health Policy and Clinical Practice · USDartmouth College · USBoston University · USDartmouth–Hitchcock Medical Center · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Outcomes Calculators for Informed Decision Making in Back SurgeryP60AR062799 · NIAMS · DARTMOUTH COLLEGE · PI TOSTESON, ANNA N. A. · 2012 to 2016
$6.1M
NCI NIH HHS P30 CA023108NIAMS NIH HHS P60 AR062799
6 · The paper itself

Abstract

importancePatients who have a fragility fracture are at high risk for subsequent fractures. Prescription drugs represent 1 factor that could be modified to reduce the risk of subsequent fracture.

objectiveTo describe the use of prescription drugs associated with fracture risk before and after fragility fracture. DESIGN, SETTING, AND

participantsRetrospective cohort study conducted between February 2015 and March 2016 using a 40% random sample of Medicare beneficiaries from 2007 through 2011 in general communities throughout the United States. A total of 168 133 community-dwelling Medicare beneficiaries who survived a fracture of the hip, shoulder, or wrist were included. Cohort members were required to be enrolled in fee-for-service Medicare with drug coverage (Parts A, B, and D) and to be community dwelling for at least 30 days in the immediate 4-month postfracture period. EXPOSURES: Prescription drug use during the 4-month period before and after a fragility fracture. MAIN OUTCOMES AND MEASURES: Prescription fills for drug classes associated with increased fracture risk were measured using Part D retail pharmacy claims. These were divided into 3 categories: drugs that increase fall risk; drugs that decrease bone density; and drugs with unclear fracture risk mechanism. Drugs that increase bone density were also tracked.

resultsA total of 168 133 patients with a fragility fracture (141 569 women; 84.2%) met the inclusion criteria for this study; 91.8% were white. Across all fracture types, the mean (SD) age was 80.0 (7.7) years, and 53.2% of the fracture cohort was hospitalized at the time of the index fracture, although this varied significantly depending on fracture type (100% of hip fractures, 8.2% of wrist fractures, and 15.0% of shoulder fractures). The frequency of discharge to an institution for rehabilitation following hospitalization also varied by fracture type, but the mean (SD) duration of acute rehabilitation did not: 28.1 (19.8) days. Most patients were exposed to at least 1 nonopiate drug associated with increased fracture risk in the 4 months before fracture (77.1% of hip, 74.1% of wrist, and 75.9% of shoulder fractures). Approximately 7% of these patients discontinued this drug exposure after the fracture, but this was offset by new users after fracture. Consequently, the proportion of the cohort exposed following fracture was unchanged (80.5%, 74.3%, and 76.9% for hip, wrist, and shoulder, respectively). There was no change in the average number of fracture-associated drugs used. This same pattern of use before and after fracture was observed across all 3 drug mechanism categories. Use of drugs to strengthen bone density was uncommon (≤25%) both before and after fracture. CONCLUSIONS AND RELEVANCE: Exposure to prescription drugs associated with fracture risk is infrequently reduced following fragility fracture occurrence. While some patients eliminate their exposure to drugs associated with fracture, an equal number initiate new high-risk drugs. This pattern suggests there is a missed opportunity to modify at least one factor contributing to secondary fractures.

Indexed as

Accidental FallsDrug-Related Side Effects and Adverse ReactionsFrail ElderlyAgedAged, 80 and overCohort StudiesDrug PrescriptionsFemaleHip FracturesHumansLength of StayMaleMedication ReconciliationOsteoporosisOsteoporotic FracturesRadius Fractures

Identifiers

PMID27548843
PMCPMC5048505
OpenAlexW2518234675

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.