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Record W4413447366 · doi:10.1007/s00198-025-07607-w

Family history of fracture and fracture risk: a meta-analysis to update the FRAX® risk assessment tool

2025· review· en· W4413447366 on OpenAlexaff
Eugène McCloskey, Helena Johansson, Enwu Liu, Kristina Åkesson, Fred Anderson, Rafael Azagra, Cecilie L. Bager, Charlotte Beaudart, Heike A. Bischoff‐Ferrari, Emmanuel Biver, Olivier Bruyère, Jane A. Cauley, Roland Chapurlat, Claus Christiansen, Cyrus Cooper, Carolyn Crandall, Steven R. Cummings, José António Pereira da Silva, Bess Dawson‐Hughes, Adolfo Díez‐Pérez, Alyssa B. Dufour, John A. Eisman, Petra J. M. Elders, Serge Ferrari, Yuki Fujita, Saeko Fujiwara, Claus‐Christian Glüer, Inbal Goldshtein, David Goltzman, Vilmundur Guðnason, Didier Hans, Mari Hoff, Rosemary Hollick, Martijn Huisman, Masayuki Iki, Sophia Ish‐Shalom, Graeme Jones, Magnus K. Karlsson, Sundeep Khosla, Douglas P. Kiel, Woon‐Puay Koh, Fjorda Koromani, Mark A. Kotowicz, Heikki Kröger, Timothy Kwok, Olivier Lamy, Arnulf Langhammer, Bagher Larijani, Kurt Lippuner, Dan Mellström, Fiona E. McGuigan, Thomas Merlijn, Tuan V. Nguyen, Anna Nordström, Peter Nordström, Terence W O’Neill, Barbara Obermayer‐Pietsch, Claes Ohlsson, Eric Orwoll, Julie A. Pasco, Fernando Rivadeneira, Berit Schei, Anne‐Marie Schott, Eric J. Shiroma, Kristín Siggeirsdóttir, Eleanor M. Simonsick, Elisabeth Sornay‐Rendu, Reijo Sund, Karin M. A. Swart, Paweł Szulc, Junko Tamaki, David Torgerson, Natasja M. van Schoor, Tjeerd van Staa, Joan Vila, Nicholas J. Wareham, Nicole C. Wright, Noriko Yoshimura, M. Carola Zillikens, Marta Zwart, Marian Schini, Liesbeth Vandenput, Nicholas C. Harvey, Mattias Lorentzon, William D. Leslie, John А. Kanis

Bibliographic record

VenueOsteoporosis International · 2025
Typereview
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversity of ManitobaMcGill University Health Centre
FundersNational Heart, Lung, and Blood InstituteChugai PharmaceuticalNational Institute for Health Research Southampton Biomedical Research CentreMedacAmgen AustraliaAchmeaUniversität ZürichCentre Hospitalier Universitaire VaudoisAgNovos HealthcareNational Institutes of HealthMylanNational Institute on AgingNational Institute for Health and Care ResearchNational Center for Advancing Translational SciencesMedical Research CouncilTeva Pharmaceutical IndustriesAmgenRadius HealthServierGilead SciencesEuropean CommissionNational Institute of Arthritis and Musculoskeletal and Skin DiseasesSanofiHartstichtingEuropean Foundation for the Study of DiabetesEli Lilly and CompanyNational Health and Medical Research CouncilNestecAstraZenecaVetenskapsrådetSociedad Española de Medicina de Familia y ComunitariaPfizerZonMwSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungUCB PharmaArgenxU.S. Department of Health and Human ServicesNational Science Foundation
KeywordsFRAXMedicineRisk assessmentRisk management toolsFracture (geology)Internal medicineMeta-analysisRheumatologyOrthopedic surgeryHip fractureOsteoporotic fractureOsteoporosisSurgeryEngineeringBone mineral

Abstract

fetched live from OpenAlex

In the largest meta-analysis of international cohorts to date, a family history of fracture is confirmed as a significant BMD-independent predictor of future fracture risk. Parental and sibling histories of fracture carry the same significance for future fracture, including the impact of family hip fracture on future hip fracture risk. PURPOSE: We have undertaken a meta-analysis of international prospective cohorts to quantify the relationship between a family history of fracture and future fracture incidence. METHODS: The analysis dataset comprised 350,542 men and women from 42 cohorts in 29 countries followed for 2.8 million person-years. We investigated the relationship between family history of hip fracture or any fracture and the risk of any clinical fracture, any osteoporotic fracture, major osteoporotic fracture (MOF), and hip fracture alone using an extended Poisson model in each cohort. Models were adjusted for current age, sex, BMD, and follow-up time. RESULTS: As no difference in influence of family history of fracture was seen between genders, results are presented for men and women combined. A parental history of hip fracture was associated with a higher risk of incident fracture across all fracture outcome categories, with a stronger relationship with future hip fracture (hazard ratios (HR, 95% CI) for hip and MOF 1.37, 1.23-1.52 and 1.19, 1.12-1.27, respectively). Associations were slightly reduced but remained significant when additionally adjusted for BMD and did not vary by baseline offspring age, follow-up time, or parent affected. In a more limited analysis, parental history of any fracture or a sibling history of hip or any fracture showed similar associations to those observed with parental history of hip fracture. CONCLUSIONS: A family history of fracture is confirmed as a significant BMD-independent predictor of future fracture risk. While parental hip fracture appears the strongest factor for future hip fracture, a family history of other fractures might be appropriate for inclusion in future iterations of the FRAX tool.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.047
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.028
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.047
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0100.041
Bibliometrics0.0040.004
Science and technology studies0.0000.000
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.055
GPT teacher head0.400
Teacher spread0.344 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes1
Has abstractyes

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