Evidence map›Paper›PMID 21336492›Full record

ArticleOsteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA2012

Algorithms can be used to identify fragility fracture cases in physician-claims databases.

S Jean, B Candas, É Belzile, S Morin, L Bessette, S Dodin, J P Brown

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
4.7field-weighted citation impact, top 5% 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

27 citing papers in PubMed, 65 citations in OpenAlex.

  1. Closing the gap in postfracture care at the population level: a randomized controlled trial.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2012
    Trial
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  13. Combined impacts of multimorbidity and mental disorders on frequent emergency department visits: a retrospective cohort study in Quebec, Canada.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2019
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  15. Comparative risk of harm associated with trazodone or atypical antipsychotic use in older adults with dementia: a retrospective cohort study.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2018
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  17. Defining hip fracture with claims data: outpatient and provider claims matter.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
    Article
  18. Disparities in osteoporosis treatments.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Observational
  19. The mortality and direct medical costs of osteoporotic fractures among postmenopausal women in Taiwan.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2016
    Article
  20. 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

7 authors at 3 institutions in 1 country.

S JeanNational Institute of Public Health of Québec, 945, Wolfe Avenue, Quebec, QC G1V 5B3, Canada. sonia.jean@inspq.qc.ca
B Candas
É Belzile
S Morin
L Bessette
S Dodin
J P Brown
Université Laval · CAInstitut National de Santé Publique du Québec · CAMcGill University Health Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summaryPhysician-billing claims databases can be used to determine the incidence of fractures in the community. This study tested three algorithms designed to accurately and reliably identify fractures from a physician-billing claims database and concluded that they were useful for identifying all types of fractures, except vertebral, sacral, and coccyx fractures.

introductionTo develop and validate algorithms that identify fracture events from a physician-billing claims database (PCDs).

methodsThree algorithms were developed using physician's specialty, diagnostic, and medical service codes used in a PCD from the province of Quebec. Algorithm validity was assessed via calculation of positive predictive values (PPV; via verification of a sample of algorithm-identified cases with hospitalization files) and sensitivities (via cross-referencing respective algorithm-identified fracture cases with a well-characterized fracture cohort).

resultsPPV and sensitivity varied across fracture sites. For most fracture sites, the PPV with algorithm 3 was higher than with algorithms 1 or 2. Except for knee fracture, the PPVs ranged from 0.81 to 0.96. Sensitivities were low at the vertebral, sacral, and coccyx sites (0.40-0.50), but high at all other fracture sites. For 95% of fractures, the fracture site identified by algorithm agreed with the fracture site from patients' medical records. Fracture dates identified by algorithm were within 2 days of the actual fracture date in 88% of fracture cases. Among cases identified by algorithm 3 to have had an open reduction (N = 461), 95% underwent surgery according to their respective medical charts.

conclusionAlgorithms using PCDs are accurate and reliable for identifying incident fractures associated with osteoporosis-related fracture sites. The identification of these fractures in the community is important for helping to estimate the burden associated with osteoporosis and the utility of programs designed to reduce the rates of fragility fracture.

Indexed as

AlgorithmsDatabases, FactualAgedClinical CodingFees, MedicalFemaleHumansIncidenceMiddle AgedOsteoporosis, PostmenopausalOsteoporotic FracturesQuebecSensitivity and Specificity

Identifiers

PMID21336492
OpenAlexW2062824713

What OpenQuestion holds

Textmetadata
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.