ArticleNursing open2023
Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model.
Article in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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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
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
- Falls among geriatric cancer patients: a systematic review and meta-analysis of prevalence and risk across cancer types.BMC geriatrics · 2025Pooled it
- Dynamic fall risk prediction in hospitalized cancer patients: development and validation of a machine learning model using multidimensional clinical data to overcome over-sensitivity in traditional scales.BMC medical informatics and decision making · 2025Article
- Constructing a fall risk prediction model for hospitalized patients using machine learning.BMC public health · 2025Article
- Fall risk in older adults hospitalized with tumours: Contributing factors and prediction model.Nursing open · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimRates vary widely across hospitals globally and typically range from 3 to 11 falls per 1000 bed days and as 7-11 in Affiliated Hospital of Nantong University. This study determined to explore contributing factors and poor prognosis of fall in elderly tumour patients in China.
designA cross-sectional study.
methods161 older adults were invited to participate in this study and completed a self-reported questionnaire, took blood tests, and received the exam of musculoskeletal ultrasound.
resultsAmong 161 patients, falls occurred in 41 cases, accounting for 24.8%. 51.6% of older adults suffered from intermediate-to-high risk of falls. Fall history, reduced self-care ability, sleep disturbance, hearing impairment, hyperkyphosis, chronic disease, platelet count, and the thickness of left muscle rectus femoris (LF-MLT), and left cross-sectional area (LF-CSA) were all contributing factors of fall, and higher risk of fall indicating lower quality of life. A fall prediction model was established in this study based on above contributing factors with good prediction efficiency (AUC = 0.920). PATIENT OR PUBLIC CONTRIBUTION: The patient volunteers participated in this study and provided valuable data for the final analysis and the acquisition of conclusion.
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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.