This readme.txt file was generated on 2023-07-15 by Fink (edited by curator 20230829) Recommended citation for the data: Fink, Howard A. (2023). Supplements for HA Fink JBMR manuscript titled, "Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk". Retrieved from the Data Repository for the University of Minnesota, https://doi.org/10.13020/5wh1-0186. ------------------- GENERAL INFORMATION ------------------- 1. Title of Dataset: Supplements for HA Fink JBMR manuscript titled, "Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk" 2. Author Information Author Contact: Howard A Fink (howard.fink@va.gov) Name: Howard A Fink Institution: Minneapolis VA Health Care System; Department of Medicine, University of Minnesota Email: howard.fink@va.gov ORCID: 0000-0002-5985-5447 3. Date published or finalized for release: 2023-05-05 4. Date of data collection (single date, range, approximate date): 2021-08-19 to 2023-02-06 5. Geographic location of data collection (where was data collected?): Data were collected from journal manuscripts identified from bibliographic databases accessed from the University of Minnesota biomedical library website, supplemented by information emailed from study authors. 6. Information about funding sources that supported the collection of the data: American Society of Bone and Mineral Research 7. Overview of the data (abstract): These data are supplemental materials for the Journal of Bone & Mineral Research (JBMR) manuscript by Howard A Fink and co-authors titled, "Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk." JBMR requires that the data that support the findings of the systematic literature review be openly available in a data repository. The manuscript is about to be submitted to JBMR and the journal requires that submitted manuscripts have an active link to the supplemental data in a data repository. -------------------------- SHARING/ACCESS INFORMATION -------------------------- 1. Licenses/restrictions placed on the data: CC0 1.0 Universal (http://creativecommons.org/publicdomain/zero/1.0/) 2. Links to publications that cite or use the data: Not yet available 3. Was data derived from another source? If yes, list source(s): 4. Terms of Use: Data Repository for the U of Minnesota (DRUM) By using these files, users agree to the Terms of Use. https://conservancy.umn.edu/pages/drum/policies/#terms-of-use --------------------- DATA & FILE OVERVIEW --------------------- 1. File List JBMR manuscript_race-fx risk_supplements 1,2,5,6_020623.docx JBMR manuscript_race-fx risk_sTable 3_ASBMR author search, exclusions_121622.xlsx JBMR manuscript_race-fx risk_sTable 4-excluded title-abstract from main search_121622.xlsx 2. Relationship between files: Both tables include supplemental data for the following manuscript by Fink and colleagues: Performance of Fracture Risk Assessment Tools by Race and Ethnicity: A Systematic Review for the ASBMR Task Force on Clinical Algorithms for Fracture Risk Note: CSV and PDF version of this dataset were added to the record by the curator in a zipped file. These are duplicates of the existing files. -------------------------- METHODOLOGICAL INFORMATION -------------------------- 1. Description of methods used for collection/generation of data: We searched Ovid MEDLINE and Ovid EMBASE bibliographic databases from inception through December 16, 2021, combining MeSH or EMTREE terms and free-text words for fracture and fracture risk calculators with terms for race and ethnicity. Search strategies were restricted to English-language studies and excluded nonhuman studies and some publication types (e.g., letters, editorials). Due to concern that race and ethnicity factors may not be reported in abstracts,(28) we supplemented these database searches by examining relevant systematic reviews,(29-34) references cited by included studies, references that cited included studies (using Scopus) and citations provided by project team content experts. We also conducted a targeted search of authors supplied by the Task Force. Supplemental searches and citation tracking were performed in the Scopus citation index. 2. Methods for processing the data: Study Selection We included English-language, controlled or prospective cohort studies that enrolled U.S. adults aged >40 years and reported on performance of one or more calculators for predicting incident fracture risk within individual race and ethnicity groups for up to ten years of follow-up. Studies must have been published in full text in peer-reviewed journals. Studies may have included populations with known secondary risk factors for osteoporosis, but those focused on patients with Paget’s disease or cancer metastatic to bone were excluded. References identified from electronic databases and from hand searches were pooled and de-duplicated in PICO Portal (PICO Portal, New York, NY United States, www.picoportal.org). Unique study titles and abstracts were reviewed by two independent, trained investigators (from among AMC, ESC, SST, DV, NLZ) to identify those meeting eligibility criteria. Those considered possibly eligible by at least one investigator were forwarded for full text screening by two different independent investigators (KEE, HAF) to determine eligibility and, if excluded, to determine reasons for exclusion. Both title and abstract and full-text screening decisions were confirmed by consensus. Reasons for ineligibility were separately documented for studies excluded at the title and abstract stage and at the full-text stage. Data Extraction and Quality Assessment For each eligible study, one reviewer extracted details, when available, on: study design; participant race and ethnicity, including any race, ethnicity or geographic subpopulations; descriptions of how race and ethnicity were defined and ascertained; participant social and behavioral determinants of health; fracture risk calculators evaluated, including their race and ethnicity categories and other variables; calculator cut-points analyzed; duration of fracture follow-up; incident fracture rates (e.g., for major osteoporotic fracture [MOF] and hip fracture); sensitivity, specificity, positive predictive value, negative predictive value, discrimination (area under the curve [AUC]) and calibration (observed/predicted ratio of incident fracture probabilities) statistics, including comparisons for different cut-points for a single calculator, between different race and ethnicity groups for a single calculator, and between different calculators; whether models accounted for competing mortality; and whether performance of fracture prediction calculators as a function of race and ethnicity was examined a priori or post hoc. A second reviewer verified extraction accuracy. Based on the Prediction model Risk of Bias Assessment Tool (PROBAST),(35,36) two reviewers (MEB, HAF) independently rated each eligible study for risk of bias (ROB) for participants, predictors, outcomes (discrimination and calibration) and analysis domains and overall. ROB assessments were confirmed by consensus. 3. Instrument- or software-specific information needed to interpret the data: References identified from electronic databases (Ovid MEDLINE, Ovid EMBASE, Scopus) and from hand searches were pooled and de-duplicated in PICO Portal (PICO Portal, New York, NY United States, www.picoportal.org). 4. Standards and calibration information, if appropriate: For each eligible study, one reviewer extracted details, when available, on: sensitivity, specificity, positive predictive value, negative predictive value, discrimination (area under the curve [AUC]) and calibration (observed/predicted ratio of incident fracture probabilities) statistics, including comparisons for different cut-points for a single calculator, between different race and ethnicity groups for a single calculator, and between different calculators 5. Environmental/experimental conditions: Not applicable. 6. Describe any quality-assurance procedures performed on the data: Unique study titles and abstracts were reviewed by two independent, trained investigators (from among AMC, ESC, SST, DV, NLZ) to identify those meeting eligibility criteria. Those considered possibly eligible by at least one investigator were forwarded for full text screening by two different independent investigators (KEE, HAF) to determine eligibility and, if excluded, to determine reasons for exclusion. Both title and abstract and full-text screening decisions were confirmed by consensus. For each eligible study, one reviewer extracted details and a second reviewer verified extraction accuracy. 7. People involved with sample collection, processing, analysis and/or submission: Howard A. Fink, MD, MPH1,2,3,4 Mary E. Butler, PhD, MBA5 Amy M. Claussen, MLIS6 Erin S. Collins, MPH7 Kristina M. Krohn, MD8 Brent C. Taylor, PhD, MPH2,3,4 Sina S. Tikabo, MPH7 Denny Vang, MPH7 Nicholas L. Zerzan, MPH7 Kristine E. Ensrud, MD, MPH2,3,4 1Geriatric Research Education & Clinical Center, Minneapolis VA Health Care System, Minneapolis, MN 2Center for Care Delivery & Outcomes Research, Minneapolis VA Health Care System, Minneapolis, MN 3Department of Medicine, University of Minnesota, Minneapolis, MN 4Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 5Division of Health Policy and Management, School of Public Health, University of Minnesota, Minneapolis, MN 6Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 7Masters of Public Health Program, School of Public Health, University of Minnesota, Minneapolis, MN 8Division of Hospital Medicine, School of Medicine, University of Minnesota, Minneapolis, MN ----------------------------------------- DATA-SPECIFIC INFORMATION FOR: Fink-JBMR manuscript_race-fx risk calculators_supplemental table 3_UMN data repository. The table heading is: Supplemental Table 3: References identified from targeted Scopus database search of authors named by ASBMR Task Force ----------------------------------------- 1. Number of variables: 9 2. Number of cases/rows: 388 (each row is for a different reference identified from a targeted Scopus database search of authors named by ASBMR Task Force) 3. Missing data codes: Not applicable 4. Variable List: A. Name: screener 1 Description: this is the name of the first person who screened the title and abstract of this reference for eligibility Value labels: Denny, Nick B. Name: screener 2 Description: this is the name of the second person who screened the title and abstract of this reference for eligibility Value labels: Erin, Sina C. Name: authors Description: these were the names of the authors of the reference/article being examined for eligibility D. Name: pub_date Description: the publication year of the reference/article being examined for eligibility E. Name: title Description: the title of the reference/article being examined for eligibility F. Name: decision_ab (in column K) Description: the eligibility decision for the reference/article made by screener 1 Value labels: INCLUDE, EXCLUDE, MAYBE G. Name: decision_ab (in column L) Description: the eligibility decision for the reference/article made by screener 2 Value labels: INCLUDE, EXCLUDE, MAYBE H. Name: is_final_include Description: the consensus eligibility decision for the reference/article based on title/abstract review, moving the reference/articles with INCLUDE or MAYBE on to full-text review Value labels: INCLUDE, EXCLUDE, MAYBE I. Name: final_exclude_reason Description: the consensus reason for excluding the reference/article for articles for which the consensus decision of screeners 1 and 2 was exclude Value labels: intervention, Intervention/exposure, publication type, Non-US, exclude relevant study: background, study design, noncalculator, duplicate DATA-SPECIFIC INFORMATION FOR: Fink-JBMR manuscript_race-fx risk calculators_supplemental table 4_UMN data repository. The table heading is: Supplemental Table 4: Reports identified from Ovid MEDLINE and Ovid EMBASE databases excluded during title/abstract screening ----------------------------------------- 1. Number of variables: 14 2. Number of cases/rows: 2215 3. Missing data codes: Not applicable 4. Variable List A. Name: final_exclude_reason Description: the consensus eligibility decision for the reference/article Value labels: Publication Type, Other Reason, Intervention, Study Type, B. Name: tags Description: notes by screeners about reasons for exclusion and possible out of scope questions the article/reference might address Value labels: Exclude relevant study, FRAX, MOF, non-US, multi-racial, Asian, some other race, other, not calculator, hip fracture, Hispanic, Black or African American, SCORE, White Caucasian, other fracture outcome, US population, C. Name: first_author Description: the first author of the article/reference D. Name: pub_date Description: the publication year of the reference/article being examined for eligibility E. Name: title Description: the title of the reference/article being examined for eligibility F. Name: publication Description: the journal name in which the reference/article was published G. Name: volume_issue Description: the journal volume and issue in which the reference/article was published H. Name: pages Description: the page numbers for the reference/article being examined for eligibility I. Name: publisher country Description: the country in which the journal is published J. Name: doi Description: the unique digital object identifier for the reference/article being examined for eligibility K. Name: issn_isbn Description: the unique 8-digit serial number for the journal publication in which the reference/article was published L. Name: source Description: The bibliographic database in which the reference/article was identified. For references/articles identified in both Medline and Embase, the table entry for that reference/article shows only Medline. Value labels: Embase, Medline M. Name: source_id Description: This is the PMID for articles/references identified from Medline and the Accession ID for articles/references identified from Embase. N. Name: notes Description: miscellaneous screener notes about the art