ArticleScientific data2026
A longitudinal dataset of hypertensive osteoporotic fracture patients: treatments and long-term outcomes.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
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Who cites it
1 citing paper in PubMed.
- Refracture or death after osteoporotic fracture: five-year competing-risk and multistate trajectories.Frontiers in endocrinology · 2026Article
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Authors and funding
9 authors.
Funding
Abstract
Osteoporotic fractures (OPF) and hypertension frequently co-occur in older adults, yet comprehensive datasets integrating clinical, pharmacological, and longitudinal outcome data remain scarce. We describe a longitudinal dataset derived from the Osteoporotic Fracture Registration System at Kunshan Hospital, Jiangsu University, including patients aged ≥ 50 years hospitalized for OPF between 2017 and 2024. A total of 4,782 patients were initially registered. After applying predefined eligibility criteria, 4,325 patients were included in the final analytical cohort. The dataset integrates demographic, clinical, and pharmacologic variables with long-term outcomes on mortality and refracture through deterministic linkage with regional health and mortality registries. Longitudinal antihypertensive prescription records (n = 42,367) were linked via the Kunshan Municipal Health Data Integration Platform, enabling detailed characterization of medication exposure patterns over time. Technical validation, including survival analysis, propensity score methods, and risk prediction modeling, was conducted to assess internal consistency and illustrate potential applications. This structured and de-identified dataset provides a quality-checked resource to support future research in osteoporosis, cardiovascular comorbidity, multimorbidity, and real-world comparative effectiveness studies.
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Registered trials
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