SynthesisBMC geriatrics2025
Falls among geriatric cancer patients: a systematic review and meta-analysis of prevalence and risk across cancer types.
Synthesis in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Guideline for the Comprehensive Perioperative Management of Older Patients With Lung Cancer (2025).Journal of evidence-based medicine · 2026Guideline
- Intolerance of uncertainty and attitudes toward cancer as predictors of spiritual well-being in patients with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Time-Series Forecasting of Radiotherapy Utilization in Older Adults in Southern Thailand's Largest Quaternary Hospital: A Retrospective Study.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Using the cancer aging and research group- breast cancer (CARG-BC) predictive model in older adults (OA) with early breast cancer: an external validation study.Breast cancer research and treatment · 2025Article
- Advancing bone tumor detection in older adults: the impact of AI-enhanced medical imaging.Frontiers in medicine · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
20 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundFalls represent a significant health concern among the older adults, particularly geriatric cancer patients, due to their increased susceptibility from both age-related and cancer treatment-related factors. This systematic review and meta-analysis aimed to synthesize global data on the prevalence and risk of falls in this population to inform targeted fall prevention strategies.
methodsFollowing PRISMA 2020 guidelines, we conducted a comprehensive search of PubMed, Embase, and Web of Science up to October 2024. Articles were screened using Nested Knowledge software by two independent reviewers. Eligible studies included those involving geriatric cancer patients aged 60 years or older reporting on fall prevalence. Quality assessment was performed using a modified Newcastle-Ottawa Scale, and meta-analysis was conducted using random-effects models with R software.
resultsFrom 1,365 identified studies, 86 met the inclusion criteria, encompassing 180,974 participants. The pooled prevalence of falls was 24% (95% CI, 20%-28%), with substantial heterogeneity (I
conclusionFalls are a prevalent and concerning issue among geriatric cancer patients, with substantial variability influenced by cancer type and study design. Personalized fall prevention strategies tailored to cancer-specific risk factors are essential. Further research is warranted to explore the complex interplay of cancer treatments, frailty, and fall risk in this vulnerable population.
Indexed as
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.