Evidence map›Paper›PMID 42333359›Full record

ArticleCureus2026

Predictors of Hip Fracture Among Patients With Atrial Fibrillation: A Retrospective Study.

Izza Afzal, Mohammad Fahad Bin Imtiaz, Muhammad Sumeed Khalid, Muhammad Awais Bin Abdul Malik, Muhammad Ammar Ali, Sohaib Akbar, Mohammad Hamza Bin Abdul Malik

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Izza AfzalTrauma and Orthopaedics, University Hospitals Dorset National Health Service (NHS) Foundation Trust, Poole, GBR.
Mohammad Fahad Bin ImtiazCardiology, Karachi Institute of Medical Sciences, Combined Military Hospital, Karachi, PAK.
Muhammad Sumeed KhalidTrauma and Orthopaedics, Benazir Bhutto Hospital, Rawalpindi, PAK.
Muhammad Awais Bin Abdul MalikInternal Medicine, Advent Health, Orlando, USA.
Muhammad Ammar AliInternal Medicine, Northern Lincolnshire and Goole National Health Service (NHS) Trust, Scunthorpe, GBR.
Sohaib AkbarInternal Medicine, Bahria University Medical and Dental College, Karachi, PAK.
Mohammad Hamza Bin Abdul MalikInternal Medicine, Nassau University Medical Center, East Meadow, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Hip fractures represent a major public health concern among elderly individuals, with annual cases projected to exceed six million globally by 2050 due to population aging. Patients with atrial fibrillation (AF) may be at increased risk due to multiple comorbidities. Identifying those predictors of hip fracture in this population is essential for early risk stratification and prevention. Therefore, this study aimed to determine the predictors of hip fracture among patients with AF. Methods This retrospective study included all eligible 189 patients aged ≥50 years with confirmed atrial fibrillation, enrolled using consecutive sampling according to predefined inclusion and exclusion criteria. Demographic and clinical data were collected via a self-designed form. Patients were categorized into fracture and non-fracture groups. Statistical analysis was performed in the Statistical Package for the Social Sciences (SPSS) software, version 25 (Released 2017; IBM Corp., Armonk, New York) using independent t-tests and chi-square tests for group comparisons. Variables with clinical relevance were further analyzed using multivariate logistic regression to identify independent predictors. Results The mean age of participants was 67.60±8.26 years, and 27 (14.28%) patients developed hip fractures. Patients with fractures were significantly older and more likely to be female with lower BMI. Univariate analysis identified multiple significant associations (p<0.05). On further analysis, multivariate logistic regression confirmed age ≥65 years (odds ratio (OR)= 2.32, p=0.037), female gender (OR= 2.14, p=0.047), BMI <22 kg/m² (OR= 2.17, p=0.046), osteoporosis (OR= 4.37, p<0.001), vitamin D deficiency (OR=2.02, p=0.040), history of stroke (OR=2.24 , p=0.047), chronic kideny disease (CKD) (OR=2.12, p=0.048), polypharmacy (OR= 2.82, p=0.012), and prolonged anticoagulation (OR 3.14, p=0.007) as independent predictors. In contrast, smoking, physical inactivity, coronary artery disease, diabetes mellitus, and hypertension, lacked independent association with hip fracture within this population. Conclusion Hip fracture risk in patients with atrial fibrillation is independently associated with several demographic, clinical, and treatment-related factors. Advanced age, female gender, low BMI, osteoporosis, vitamin D deficiency, history of stroke, CKD, polypharmacy, and long-term anticoagulation are key independent predictors. Early identification and targeted management of these factors may help reduce fracture risk in this high-risk population.

Indexed as

atrialcomorbiditieselderlyfibrillationfracturehippredictorretrospective

Identifiers

PMID42333359
PMCPMC13283511

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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.