Evidence map›Paper›PMID 41593509›Full record

ArticleBMC geriatrics2026

A novel 'Timing it Right'-based intervention for post-intensive care syndrome in critically ill elderly patients: study protocol and preliminary implementation findings of a randomized controlled trial.

Juan Xing, Xiaolan Guo, Lei Gai, Zhenlan Li, BingFeng Wang, Shuangqin Chen

Abstract readClinical Trial Protocol
In one paragraph

Article in BMC geriatrics, 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.

Juan XingNingbo College of Health Sciences, Ningbo, Zhejiang, China. nzhongyi@126.com.
Xiaolan GuoThe First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Lei GaiThe First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Zhenlan LiNingbo College of Health Sciences, Ningbo, Zhejiang, China.
BingFeng WangThe First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Shuangqin ChenNingbo College of Health Sciences, Ningbo, Zhejiang, China. chensq99@126.com.

Funding

Zhejiang Provincial Public Welfare Project of China No.LGF22H250007
6 · The paper itself

Abstract

backgroundCritically ill elderly patients face elevated risks of post-intensive care syndrome (PICS) due to unique vulnerabilities, including rapid disease progression, multimorbidity, and multi-organ dysfunction. Current rehabilitation models often lack phase-integrated continuity, creating a significant gap in preventing long-term functional decline. This study aimed to test a novel, time-sequenced "Timing It Right" (TIR) framework spanning the entire post-ICU continuum-from ICU to community reintegration-to reduce the incidence and burden of PICS.

methodsA prospective, randomized controlled trial (RCT; registered at ChiCTR2400083434) with blinded outcome assessment was conducted. The intervention group received TIR-based care, tailored to five specific recovery phases (ICU acute, ICU transition, discharge preparation, post-discharge adjustment, and acclimatization), in addition to usual care. The control group received usual care alone. Feasibility was assessed through strict protocol adherence monitoring and structured multidisciplinary team feedback.

resultsPreliminary implementation in 90 patients confirmed high protocol feasibility, with no major deviations and positive acceptability among the healthcare team. Full outcome analysis is ongoing and will be reported separately. DISCUSSION: The TIR framework directly addresses a critical gap in post-ICU care by providing integrated, stage-specific support. By dynamically aligning interventions with patients' evolving needs, this model holds promise for significantly improving functional outcomes and offers a scalable, efficient template for resource-limited settings.

trial registrationChinese Clinical Trial Registry, ChiCTR2400083434; registered 25/04/2024.

Indexed as

Critical CareCritical IllnessAgedFemaleHumansIntensive Care UnitsMalePatient DischargeProspective StudiesRandomized Controlled Trials as TopicTime FactorsCritically ill elderly patientsIntensive care unitMulti-disciplinary teamPost-intensive care syndromeTiming it right

Identifiers

PMID41593509
PMCPMC12924302

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.