Evidence map›Paper›PMID 39513358›Full record

ArticleJournal of cachexia, sarcopenia and muscle2024

Prediction of Fragility Fractures and Mortality in a Cohort of Geriatric Patients.

Peter Dovjak, Bernhard Iglseder, Anna Rainer, Gregor Dovjak, Michael Weber, Peter Pietschmann

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Article in Journal of cachexia, sarcopenia and muscle, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Does osteosarcopenia synergistically increase risk for incident falls and fractures? A systematic review and meta-analysis.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026
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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

6 authors.

Peter DovjakDepartment of Acute Geriatrics, Salzkammergut Clinic Gmunden, Gmunden, Austria.ORCID 0000-0003-4667-8805
Bernhard IglsederDepartment of Geriatric Medicine, Christian Doppler Hospital, Paracelsus Medical University, Salzburg, Austria.
Anna RainerDepartment of Acute Geriatrics, Salzkammergut Clinic Gmunden, Gmunden, Austria.
Gregor DovjakDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Michael WeberDepartment of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Peter PietschmannInstitute of Pathophysiology and Allergy Research, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRisk factors of refracture after fragility fractures include osteoporosis, female gender and advanced age among others. We hypothesized that the assessment of functionality, muscle health and nutrition status contribute to the risk prediction for further fractures and death.

methodsWe assessed 334 patients admitted to the department of acute geriatrics for sociodemographic data, bone fragility, selected laboratory tests, body composition and data on functionality using the comprehensive geriatric assessment. Patients had follow-ups until the occurrence of further fractures or death. Dual-energy X-ray absorptiometry and pulse echo measurements were performed to assess bone mineral density. Fracture risk was assessed using the FRAX score and muscle strength according to published guidelines on sarcopenia.

resultsThe mean age was 81 years (70-95), and 82.3% (275/334) were women. An incidence of 10.4% (35/334) new fragility fractures was observed within 24 months, and the mortality rate was 12.2% (41/334). A significantly higher rate of further fractures was associated with lower BMI (body mass index) (HR 0.925, CI 0.872-0.98; p = 0.009), lower parathyroid hormone levels (HR 0.986, CI 0.973-0.998; p = 0.026) and with the diagnosis of osteoporosis (HR 2.546, CI 1.192-5.438; p = 0.016). No significant associations were present in patients with previous fractures, with higher age, higher FRAX scores, sarcopenia, in women, sarcopenic obesity, frail patients, lower grip strength, lower walking speed, lower Barthel index or lower DI (density index) values. The predictive power for further fractures was 10.7% higher adding osteosarcopenia, BMI and parathyroid hormone levels to standard assessment parameters osteoporosis, age and the status of previous fractures. Mortality was significantly higher with advanced age (HR 1.101, CI 1.052-1.151; p < 0.001), in men (HR 6.464, CI 3.141-13.305; p < 0.001), in smokers (p = 0.002), higher FRAX score (HR 1.039, CI 1.009-1.070; p = 0.010), lower renal function (HR 0.987, CI 0.976-0.997; p = 0.010), lower Tinetti test scores (HR 0.943, CI 0.900-0.987; p = 0.012), lower walking speed (HR 0.084, CI 0.018-0.382; p = 0.001), lower hand grip (HR 0.876, CI 0.836-0.919; p < 0.001) and lower Barthel index scores (HR 0.984, CI 0.971-0.997; p = 0.015).

conclusionsIn a cohort of geriatric patients, the addition of BMI, low parathyroid hormone levels and osteosarcopenia increases the predictive power for further fractures by 10.7%. These parameters are a valuable addition to the standard assessment parameters age and history of sustained fractures. Mortality is partly associated with potentially treatable functional parameters.

Indexed as

Fractures, BoneAgedAged, 80 and overBone DensityCohort StudiesFemaleGeriatric AssessmentHumansMaleRisk Factorsfragility fracturegeriatric patientosteosarcopeniasarcopenic obesity

Identifiers

PMID39513358
PMCPMC11634494

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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.