Observational studyBMC geriatrics2014
Fall predictors in older cancer patients: a multicenter prospective study.
Observational study in BMC geriatrics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled 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.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
26 citing papers in PubMed, 5 syntheses or guidelines pooled it, 54 citations in OpenAlex.
- Guideline for the Comprehensive Perioperative Management of Older Patients With Lung Cancer (2025).Journal of evidence-based medicine · 2026Guideline
- Falls among geriatric cancer patients: a systematic review and meta-analysis of prevalence and risk across cancer types.BMC geriatrics · 2025Pooled it
- Pooled it
- Associations of Polypharmacy and Inappropriate Medications with Adverse Outcomes in Older Adults with Cancer: A Systematic Review and Meta-Analysis.The oncologist · 2020Pooled it
- Falls in older adults with cancer: a systematic review of prevalence, injurious falls, and impact on cancer treatment.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2016Pooled it
- Modifiable fall risk factors among older adults with advanced cancer: Secondary analysis of a cluster-randomized clinical trial.Journal of geriatric oncology · 2023Trial
- Clinical characteristics associated with falls in patients with non-metastatic castration-resistant prostate cancer treated with apalutamide.Prostate cancer and prostatic diseases · 2023Trial
- Interpretable machine learning-based predictive model for fall risk in older adults receiving maintenance hemodialysis.Frontiers in medicine · 2026Article
- Prevalence and incidence of falls in older adults with cancer: a systematic review with meta-analysis.Journal of cancer survivorship : research and practice · 2025Review
- The associations of oxaliplatin-induced peripheral neuropathy, sociodemographic characteristics, and clinical characteristics with time to fall in older adults with colorectal cancer.American journal of epidemiology · 2024Article
- Decreasing polypharmacy in older adults with cancer: A pilot cluster-randomized trial protocol.Journal of geriatric oncology · 2024Article
- Incidence of falls and fall-related injuries and their predictive factors in frail older persons with cancer: a multicenter study.BMC geriatrics · 2022Observational
- Risk factors for falls in hospitalized patients with cancer: A systematic review and meta-analysis.Asia-Pacific journal of oncology nursing · 2022Review
- Patient-Reported Continuity of Care and Functional Safety Concerns After Inpatient Cancer Rehabilitation.The oncologist · 2021Article
- Bortezomib in first-line therapy is associated with falls in older adults with multiple myeloma.Journal of geriatric oncology · 2021Article
- Steroid Hormone Biosynthesis Metabolism Is Associated With Fatigue Related to Androgen Deprivation Therapy for Prostate Cancer.Frontiers in cell and developmental biology · 2021Article
- Article
- Joint pain and falls among women with breast cancer on aromatase inhibitors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2019Article
- Factors associated with falls in older adults with cancer: a validated model from the Cancer and Aging Research Group.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018Article
- Falls in older adults with multiple myeloma.European journal of haematology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn the older population falls are a common problem and a major cause of morbidity, mortality and functional decline. The etiology is often multifactorial making the identification of fall predictors essential for preventive measures. Despite this knowledge, data on falls within the older cancer population are limited. The objective of this study was to evaluate the occurrence of falls within 2 to 3 months after cancer treatment decision and to identify predictors of falls (≥1 fall) during follow-up.
methodsOlder patients (70 years or more) with a cancer treatment decision were included. At baseline, all patients underwent geriatric screening (G8 and Flemish Triage Risk Screening Tool), followed by a geriatric assessment including living situation, activities of daily living (ADL), instrumental activities of daily living (IADL), fall history in the past 12 months, fatigue, cognition, depression, nutrition, comorbidities and polypharmacy. Questionnaires were used to collect follow-up (2-3 months) data. Univariate and multivariate analyses were performed to identify predictors for falls (≥1 fall) during follow-up.
resultsAt baseline, 295 (31.5%) of 937 included patients reported at least one fall in the past 12 months with 88 patients (29.5%) sustaining a major injury. During follow-up (2-3 months), 142 (17.6%) patients fell, of whom 51.4% fell recurrently and 17.6% reported a major injury. Baseline fall history in the past 12 months (OR = 3.926), fatigue (OR = 0.380), ADL dependency (OR = 0.492), geriatric risk profile by G8 (OR = 0.471) and living alone (OR = 1.631) were independent predictors of falls (≥1 fall) within 2-3 months after cancer treatment decision.
conclusionFalls are a serious problem among older cancer patients. Geriatric screening and assessment data can identify patients at risk for a fall. A patient with risk factors associated with falls should undergo further evaluation and intervention to prevent potentially injurious fall incidents.
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