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Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures

PURPOSE: To evaluate how comprehensively wrist fractures can be tracked from the national medical registers, and to propose a method for complementing the register data using time stamps of wrist radiography visits recorded in the radiological image archive. PATIENTS AND METHODS: For the Kuopio Oste...

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Autores principales: Nissinen, Tomi, Sund, Reijo, Suoranta, Sanna, Kröger, Heikki, Väänänen, Sami P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518171/
https://www.ncbi.nlm.nih.gov/pubmed/37750092
http://dx.doi.org/10.2147/CLEP.S421013
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author Nissinen, Tomi
Sund, Reijo
Suoranta, Sanna
Kröger, Heikki
Väänänen, Sami P
author_facet Nissinen, Tomi
Sund, Reijo
Suoranta, Sanna
Kröger, Heikki
Väänänen, Sami P
author_sort Nissinen, Tomi
collection PubMed
description PURPOSE: To evaluate how comprehensively wrist fractures can be tracked from the national medical registers, and to propose a method for complementing the register data using time stamps of wrist radiography visits recorded in the radiological image archive. PATIENTS AND METHODS: For the Kuopio Osteoporosis Risk Factor and Prevention Study (OSTPRE) cohort of 14220 post-menopausal women, we analysed the data from the Care Register for Health Care, Register for Primary Health Care Visits, self-reports, radiological image archive PACS, and patient records to identify the wrist fractures occurred between 2011 and 2021. Using this gold standard of fractures, we validated the coverage of the registers and image archive and created algorithms to automatically identify fracture events from the registers and/or metadata of wrist radiography visits. RESULTS: We show that wrist fractures cannot be comprehensively identified based on national registers. To remedy this, our proposed method of combining register and image archive data can lift the coverage from 81% to 94% and reduce false discoveries from 6% to 2%. CONCLUSION: The proposed method offers a more reliable way of gathering fracture information. Comprehensive fracture identification is essential in many research settings, such as incidence statistics, prevention studies, and risk assessment models.
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spelling pubmed-105181712023-09-25 Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures Nissinen, Tomi Sund, Reijo Suoranta, Sanna Kröger, Heikki Väänänen, Sami P Clin Epidemiol Original Research PURPOSE: To evaluate how comprehensively wrist fractures can be tracked from the national medical registers, and to propose a method for complementing the register data using time stamps of wrist radiography visits recorded in the radiological image archive. PATIENTS AND METHODS: For the Kuopio Osteoporosis Risk Factor and Prevention Study (OSTPRE) cohort of 14220 post-menopausal women, we analysed the data from the Care Register for Health Care, Register for Primary Health Care Visits, self-reports, radiological image archive PACS, and patient records to identify the wrist fractures occurred between 2011 and 2021. Using this gold standard of fractures, we validated the coverage of the registers and image archive and created algorithms to automatically identify fracture events from the registers and/or metadata of wrist radiography visits. RESULTS: We show that wrist fractures cannot be comprehensively identified based on national registers. To remedy this, our proposed method of combining register and image archive data can lift the coverage from 81% to 94% and reduce false discoveries from 6% to 2%. CONCLUSION: The proposed method offers a more reliable way of gathering fracture information. Comprehensive fracture identification is essential in many research settings, such as incidence statistics, prevention studies, and risk assessment models. Dove 2023-09-20 /pmc/articles/PMC10518171/ /pubmed/37750092 http://dx.doi.org/10.2147/CLEP.S421013 Text en © 2023 Nissinen et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Nissinen, Tomi
Sund, Reijo
Suoranta, Sanna
Kröger, Heikki
Väänänen, Sami P
Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures
title Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures
title_full Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures
title_fullStr Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures
title_full_unstemmed Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures
title_short Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist Fractures
title_sort combining register and radiological visits data allows to reliably identify incident wrist fractures
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518171/
https://www.ncbi.nlm.nih.gov/pubmed/37750092
http://dx.doi.org/10.2147/CLEP.S421013
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