Evidence map›Paper›PMID 41085637›Full record

ArticleDrugs & aging2025

Frailty-Informed Pain Management: A Clinical Imperative Beyond Chronological Age.

Pablo Mourelle-Sanmartín, Laura Lorenzo-López, José Carlos Millán-Calenti, Melissa Kathryn Andrew, Olga Theou

Abstract read
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Article in Drugs & aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from 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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Pablo Mourelle-SanmartínGeriatric Service, Geriatrics Department, Lucus Augusti University Hospital, Dr. Ulises Romero Street, 1, 27003, Lugo, Galicia, Spain. pablo.mourelle@udc.es.ORCID 0000-0003-2086-4175
Laura Lorenzo-LópezUniversidade da Coruña, Gerontology and Geriatrics Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, A Coruña, Spain.
José Carlos Millán-CalentiUniversidade da Coruña, Gerontology and Geriatrics Research Group, Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), SERGAS, A Coruña, Spain.
Melissa Kathryn AndrewDepartment of Medicine, Dalhousie University, Halifax, NS, Canada.
Olga TheouDepartment of Medicine, Dalhousie University, Halifax, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic pain is a prevalent and disabling condition whose management becomes increasingly complex with aging and frailty. While chronological age often guides clinical decisions, frailty offers a more biologically grounded approach.

aimsWe sought to examine the independent associations of chronological age, frailty, and sex with pain management variables in a community-based adult population.

methodsA cross-sectional study was conducted in 455 adults with chronic non-cancer pain. Frailty was assessed using a 31-item frailty index (FI) on the basis of the deficit accumulation model. A total of 169 pain-related variables were collected. Multivariable regression models were used to explore associations between age, FI, sex, and pain management outcomes.

resultsFrailty was independently associated with nonsteroidal anti-inflammatory drug (NSAID) self-medication (odds ratio [OR] 1.03, 95% confidence interval [CI]: 1.01-1.04), greater use of nonpharmacological interventions (sr = 0.13), consumption of multiple analgesic classes (including paracetamol, opioids, and adjuvants), and absence of baseline pain control (OR 0.96, 95% CI 0.93-0.98). In contrast, older age was the main negative predictor of NSAID and anxiolytic prescriptions and physiotherapy use. Notably, frailty and age showed opposite associations for several outcomes, including number of prescribed analgesics and healthcare utilization.

conclusionsFrailty, as a proxy for biological age, was more strongly associated with pain management patterns than chronological age. Sole reliance on age may lead to undertreatment and ageist biases. These findings should, however, be interpreted with caution given the cross-sectional observational design, which precludes causal inference. Incorporating frailty into pain care strategies may nonetheless support more personalized, effective, and safer management across the adult lifespan.

Indexed as

Chronic PainFrailtyPain ManagementAdultAgedAged, 80 and overAge FactorsAnalgesicsAnti-Inflammatory Agents, Non-SteroidalCross-Sectional StudiesFemaleHumansMaleMiddle AgedAnalgesicsAnti-Inflammatory Agents, Non-Steroidal

Identifiers

PMID41085637
PMCPMC12568795

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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.