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Record W4405486225 · doi:10.1016/j.cont.2024.101737

Optimizing care for LUTS in older patients: Diagnostics, challenges of frailty and patient priorities—NOPIA meeting (ICI-RS 2024)

2024· article· en· W4405486225 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueContinence · 2024
Typearticle
Languageen
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsGerontologyMedicine

Abstract

fetched live from OpenAlex

As the global population ages, the prevalence of lower urinary tract symptoms (LUTS) in older adults is increasing, with frailty adding complexity to this challenge. There is a recognized paucity of data addressing LUTS in older adults with frailty. This literature review, summarizing insights from a panel of experts at the 2024 NOPIA — Nocturia and Polyuria research group meeting at the International Consultation on Incontinence-Research Society (ICI-RS) congress in Bristol, addresses the need to optimize care for LUTS in older adults by refining diagnostics, adapting approaches for frail patients, considering patient priorities and identify indicators and predictors for LUTS. The concept of lifelong LUTS underscores the persistence of urinary dysfunction across life stages, highlighting the importance of distinguishing age-related changes from pathology for accurate diagnosis. Due to age-related physiological changes, comorbidities, and cognitive decline, traditional diagnostics like frequency-volume charts may be challenging, emphasizing the value of a holistic, patient-centered approach. Treatments in frail populations require caution, as common medications can pose increased risks, often lacking safety data for this group, emphasizing the need for tailored approaches. Recognizing predictors and indicators of LUTS helps to prevent complications, understand progression and to aid in early intervention. Key patient priorities include effective symptom relief, low-risk management, and clear communication, with a strong preference for shared decision-making to accommodate individual needs, considering possible health illiteracy. In conclusion, managing LUTS in older, frail adults requires a comprehensive approach that includes improving diagnostics, recognizing frailty’s impact, and aligning treatment with patient expectations. Future research should develop frailty-specific strategies to enhance quality of life, while a multidisciplinary, patient-centered approach can better address the complex needs of this population.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.707

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.273
Teacher spread0.255 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it