Evidence map›Paper›PMID 42064890›Full record

ReviewFrontiers in public health2026

Nurses as guardians of time: the hidden clinical value of continuous care in geriatrics.

Yanyang Yang, Haihong Wang, Enci Li, Yaoyao Zheng, Yu Chen, Xiaoyan Wu

Abstract readReview
In one paragraph

Review in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Yanyang YangDepartment of Geriatric Medicine, Wenzhou People's Hospital, Wenzhou, China.
Haihong WangDepartment of Nursing, Wenzhou People's Hospital, Wenzhou, China.
Enci LiDepartment of Nursing, Wenzhou People's Hospital, Wenzhou, China.
Yaoyao ZhengDepartment of Geriatric Medicine, Wenzhou People's Hospital, Wenzhou, China.
Yu ChenDepartment of Geriatric Medicine, Wenzhou People's Hospital, Wenzhou, China.
Xiaoyan WuDepartment of Geriatric Medicine, Wenzhou People's Hospital, Wenzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ageing-related diseases are increasingly recognized as time-dependent processes characterized by gradual accumulation, fluctuation, and prolonged subclinical deterioration rather than discrete clinical events. However, prevailing geriatric care models remain largely episodic, limiting their capacity to detect early signals of decline and intervene proactively. This review synthesizes longitudinal evidence from epidemiology, ageing biology, and clinical nursing research to reconceptualize geriatric disease as a trajectory-based phenomenon. Geriatric nurses may play a particularly important role in monitoring longitudinal changes in older adults and may contribute to emerging predictive care approaches that aim to anticipate health deterioration and support earlier intervention. By integrating subtle physiological, functional, behavioral, and psychosocial changes over time, nursing practice enables trend-based clinical reasoning that extends beyond task execution toward predictive decision-making. Furthermore, we examine how emerging digital tools and time-series analytics can amplify, but not replace, nursing judgment in anticipatory care. Together, these perspectives position geriatric nursing as a frontline predictive system essential for transforming ageing care from reactive event management to proactive trajectory-informed intervention.

Indexed as

AgingGeriatric NursingNurse's RoleAgedHumansgeriatric nursinghealth trajectorieslongitudinal monitoringmultimorbiditypredictive care

Identifiers

PMID42064890
PMCPMC13126314

What OpenQuestion holds

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Registered trials

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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.