Evidence map›Paper›PMID 26523215›Full record

ArticleHealth2015

Bone Mineral Density Reporting Underestimates Fracture Risk in Ontario.

Joanna E M Sale, Earl Bogoch, Lynn Meadows, Monique Gignac, Lucy Frankel, Taucha Inrig, Dorcas Beaton, Ravi Jain

Abstract read
In one paragraph

Article in Health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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.

Joanna E M SaleMusculoskeletal Health and Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada ; Institute of Health Policy, Management & Evaluation, University of Toronto, Toronto, Canada.
Earl BogochMobility Program, St. Michael's Hospital, Toronto, Canada ; Department of Surgery, University of Toronto, Toronto, Canada.
Lynn MeadowsCommunity Health Sciences, University of Calgary, Calgary, Canada.
Monique GignacToronto Western Research Institute, University Health Network, Toronto, Canada ; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Lucy FrankelMusculoskeletal Health and Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Taucha InrigMusculoskeletal Health and Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Dorcas BeatonMusculoskeletal Health and Outcomes Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada.
Ravi JainOsteoporosis Canada, Toronto, Canada.

Funding

CIHR 102813-1CIHR 136622-1PHS HHS 102813-1PHS HHS 136622-1
6 · The paper itself

Abstract

objectiveAnalysis of clinical documents such as bone mineral density (BMD) reports is an important component of program evaluation because it can provide insights into the accuracy of assessment of fracture risk communicated to patients and practitioners. Our objective was to compare fracture risk calculations from BMD test reports to those based on the 2010 Canadian guidelines.

methodsWe retrieved BMD reports from fragility fracture patients screened through a community hospital fracture clinic participating in Ontario's Fracture Clinic Screening Program. Fracture risk was determined according to the 2010 Canadian guidelines using age, sex, and T-score at the femoral neck, in addition to three clinical factors. Three researchers classified patients' fracture risk until consensus was achieved.

resultsWe retrieved reports for 17 patients from nine different BMD clinics in the Greater Toronto Area. Each patient had a different primary care physician and all BMD tests were conducted after the 2010 Canadian guidelines were published. The fracture risk of 10 patients was misclassified with 9 of the 10 reports underestimating fracture risk. Nine reports acknowledged that the prevalence of a fragility fracture raised the risk category by one level but only four of these reports acknowledged that the patient had, or may have sustained, a fragility fracture. When we raised fracture risk by one level according to these reports, eight patients were still misclassified. Fracture risk in the majority of these patients remained underestimated. Inconsistent classification was found in the majority of cases where reports came from the same clinic. Four reports described risk levels for two different types of risk.

conclusionsMore than half of patients received BMD reports which underestimated fracture risk. Bone health management recommendations based on falsely low fracture risk are likely to be sub-optimal.

Indexed as

Bone Densitometry ReportsFracture RiskFragility FractureOntario

Identifiers

PMID26523215
PMCPMC4623753

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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.