SynthesisBMC geriatrics2025
Non-pharmacological interventions for managing acute pain and delirium in hospitalized older patients: a systematic review.
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.
- Prediction models for post-stroke delirium: a systematic review with an exploratory meta-analysis of predictors.Frontiers in neurologyPooled it
- Non-Pharmacologic Interventions for Hemodynamic Stability During Dental Implant Surgery: A Randomized Controlled Trial.Clinical implant dentistry and related research · 2026Trial
- Predictive role of tear metabolomics in delirium during anesthesia emergence and postoperative period in elderly patients after abdominal surgery.Frontiers in molecular biosciences · 2026Article
- Progress of nursing management for delirium in critically ill geriatric patients: a narrative review.Frontiers in human neuroscience · 2026Review
- Effectiveness of Non-Pharmacological Interventions on Postoperative Pain in Gastric Cancer: A Systematic Review and NMA Protocol.Journal of pain research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDelirium and acute pain are common and serious problems in hospitalized older patients, often leading to adverse outcomes such as prolonged hospital stays, cognitive decline, and higher mortality rates. While pharmacological treatments can have significant side effects in older adults, non-pharmacological interventions offer safer alternatives.
objectiveThis systematic review aimed to evaluate the effectiveness of non-pharmacological interventions in managing acute pain and delirium in hospitalized older patients.
methodsA comprehensive search was conducted across PubMed, Scopus, Web of Science, Embase, Cochrane Library, and Google Scholar databases up to July 2025. The review included randomized controlled trials and quasi-experimental studies involving patients aged ≥ 65 years that used non-pharmacological interventions.
resultsThe review included eight studies. Music therapy and hand massage consistently reduced acute pain and anxiety among older patients, while the results for delirium prevention were mixed. some interventions, like geriatric care bundles, significantly reduced delirium incidence, while others showed no effect. These findings highlight the clinical relevance of non-pharmacological interventions as safer alternatives to pharmacological management in geriatric care.
conclusionNon-pharmacological interventions are effective in reducing acute pain and anxiety among older inpatients, with some showing promise in delirium prevention. However, the variability in intervention types and study quality highlights the need for standardized protocols and further research.
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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 OpenQuestion graph.