Evidence map›Paper›PMID 35370909›Full record

SynthesisFrontiers in neurology2022

Early Supported Discharge and Transitional Care Management After Stroke: A Systematic Review and Meta-Analysis.

Sungju Jee, Minah Jeong, Nam-Jong Paik, Won-Seok Kim, Yong-Il Shin, Sung-Hwa Ko, In Sun Kwon, Bo Mi Choi, Yunsun Jung, Wonkee Chang and 1 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 4 pooled it
2.6field-weighted citation impact, top 10% of its field
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

14 citing papers in PubMed, 4 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Integrated care management for patients following acute stroke: a systematic review.QJM : monthly journal of the Association of Physicians · 2025
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 1 country.

Sungju JeeDepartment of Rehabilitation Medicine, Chungnam National University Hospital and Chungnam National University College of Medicine, Daejeon, South Korea.
Minah JeongDepartment of Rehabilitation Medicine, Chungnam National University Hospital and Chungnam National University College of Medicine, Daejeon, South Korea.
Nam-Jong PaikDepartment of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea.
Won-Seok KimDepartment of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea.
Yong-Il ShinDepartment of Rehabilitation Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Pusan, South Korea.
Sung-Hwa KoDepartment of Rehabilitation Medicine, Pusan National University School of Medicine, Pusan National University Yangsan Hospital, Pusan, South Korea.
In Sun KwonClinical Trials Center, Chungnam National University Hospital, Daejeon, South Korea.
Bo Mi ChoiDepartment of Public Health and Medical Services, Chungnam National University Hospital, Daejeon, South Korea.
Yunsun JungDepartment of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea.
Wonkee ChangDepartment of Rehabilitation Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, South Korea.
Min Kyun SohnDepartment of Rehabilitation Medicine, Chungnam National University Hospital and Chungnam National University College of Medicine, Daejeon, South Korea.
Chungnam National University Hospital · KRSeoul National University Bundang Hospital · KRPusan National University Yangsan Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To investigate the available evidence on early supported discharge (ESD) and transitional care (TC) delivery service in patients with cerebrovascular disease. Methods: A systematic literature search was conducted to collect all available evidence on the use of ESD and TC services. We included cluster-randomized pragmatic trials or randomized controlled trials (RCTs) that recruited patients with stroke or transient ischemic attack to receive either conventional care or any care service intervention that included rehabilitation or support provided by professional medical personnel with the aim of accelerating and supporting home discharge. Relevant data were electronically searched through international databases (Cochrane Library, EMBASE, and PubMed) and incorporated into a summary grid to investigate research outcomes and provide a narrative synthesis. Furthermore, we compared the outcomes in terms of length of hospital stay, patient and caregiver outcomes, and mortality through meta-analysis. Results: We identified and included a total of 20 publications of various original randomized studies. There were 18 studies conducted in western countries and 2 in eastern countries. The meta-analysis revealed a tendency that ESD or TC could decrease the length of hospital stay more than the usual care [standardized mean difference (SMD) -0.13; 95% confidence interval (CI) -0.31 to 0.04 days; Conclusion: We did not find a large effect size for the use of TC and ESD. When implementing the TC and ESD model from western to Asian countries, services should be prepared and implemented in accordance with national medical rehabilitation pathways for cerebrovascular disease.

Indexed as

cerebrovascular diseasecontinuity of patient careearly supported discharge (ESD)rehabilitationtransitional care

Identifiers

PMID35370909
PMCPMC8965290
OpenAlexW4220701503

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.