Evidence map›Paper›PMID 35019144›Full record

ArticleActa orthopaedica2022

Surveillance of atypical femoral fractures in a nationwide fracture register.

Hans Peter Bögl, Georg Zdolsek, Lukas Barnisin, Michael Möller, Jörg Schilcher

Open access · goldAbstract read
In one paragraph

Article in Acta orthopaedica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Hans Peter BöglDepartment of Orthopedic Surgery, Gävle Hospital, Gävle; Department of Orthopedic Surgery and Department of Biomedical and Clinical Sciences, Linköping University, Linköping and Center for Medical Image Science and Visualization, Linköping University, Linköping. hans.peter.bogl@regiongavleborg.se.
Georg ZdolsekDepartment of Orthopedic Surgery and Department of Biomedical and Clinical Sciences, Linköping University, Linköping and Center for Medical Image Science and Visualization, Linköping University, Linköping. geozd038@student.liu.se.
Lukas BarnisinDepartment of Orthopedics, Sahlgrenska University Hospital, Gothenburg. lukas.barnisin@vgregion.se.
Michael MöllerDepartment of Orthopedics, Sahlgrenska University Hospital, Gothenburg; Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. michael.s.moller@gmail.com.
Jörg SchilcherDepartment of Orthopedic Surgery and Department of Biomedical and Clinical Sciences, Linköping University, Linköping and Center for Medical Image Science and Visualization, Linköping University, Linköping; Wallenberg Centre for Molecular Medicine, Linköping University, Linköping. jorg.schilcher@liu.se.
Linköping University · SESahlgrenska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and purpose - To continuously assess the incidence of atypical femoral fractures (AFFs) in the population is important, to allow the evaluation of the risks and benefits associated with osteoporosis treatment. Therefore, we investigated the possibility to use the Swedish Fracture Register (SFR) as a surveillance tool for AFFs in the population and to explore means of improvement. Patients and methods - All AFF registrations in the SFR from January 1, 2015 to December 31, 2018 were enrolled in the study. For these patients, radiographs were obtained and combined with radiographs from 176 patients with normal femoral fractures, to form the study cohort. All images were reviewed and classified into AFFs or normal femur fractures by 2 experts in the field (gold-standard classification) and 1 orthopedic resident educated on the specific radiographic features of AFF (educated-user classification). Furthermore, we estimated the incidence rate of AFFs in the population captured by the register through comparison with a previous cohort and calculated the positive predictive value (PPV) and, where possible, the inter-observer agreement (Cohen's kappa) between the different classifications. Results - Of the 178 available patients with AFF in the SFR, 104 patients were classified as AFF using the goldstandard classification, and 89 using the educated-user classification. The PPV increased from 0.58 in the SFR classification to 0.93 in the educated-user classification. The interobserver agreement between the gold-standard classification and the educated-user classification was 0.81. Interpretation - With a positive predictive value of 0.58 the Swedish Fracture Register outperforms radiology reports and reports to the Swedish Medical Products Agency on adverse drug reactions as a diagnostic tool to identify atypical femoral fractures.

Indexed as

Bone Density Conservation AgentsFemoral FracturesDiphosphonatesFemurHumansIncidenceLower ExtremityRadiographyBone Density Conservation AgentsDiphosphonates

Identifiers

PMID35019144
PMCPMC8815300
OpenAlexW4206677903

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.