Evidence map›Paper›PMID 28249850›Full record

ArticleBMJ open2017

Early rehabilitation for the prevention of postintensive care syndrome in critically ill patients: a study protocol for a systematic review and meta-analysis.

Yutaka Kondo, Ryota Fuke, Toru Hifumi, Junji Hatakeyama, Tetsuhiro Takei, Kazuma Yamakawa, Shigeaki Inoue, Osamu Nishida

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. An Established Early Rehabilitation Therapy Demonstrating Higher Efficacy and Safety for Care of Intensive Care Unit Patients.Medical science monitor : international medical journal of experimental and clinical research · 2019
    Trial
  3. Participant retention in follow-up studies of intensive care unit survivors - A scoping review.Australian critical care : official journal of the Confederation of Australian Critical Care Nurses · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Life after paediatric intensive care unit.African journal of thoracic and critical care medicine · 2019
    Review
  8. Article
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

8 authors at 7 institutions in 1 country.

Yutaka KondoDepartment of Emergency and Critical Care Medicine, Graduate School of Medicine, University of the Ryukyus, Nakagami-gun, Japan.
Ryota FukeDivision of Infectious Diseases and Infection Control, Tohoku Medical and Pharmaceutical University, Sendai city, Japan.
Toru HifumiEmergency Medical Center, Kagawa University Hospital, Kita-gun-Takamatsu, Japan.
Junji HatakeyamaDepartment of Intensive Care Medicine, Yokohama City Minato Red Cross Hospital, Yokohama city, Japan.
Tetsuhiro TakeiDepartment of Intensive Care Medicine, Yokohama City Minato Red Cross Hospital, Yokohama city, Japan.
Kazuma YamakawaDivision of Trauma and Surgical Critical Care, Osaka General Medical Center, Osaka city, Japan.
Shigeaki InoueDepartment of Emergency and Critical Care Medicine, Tokai University Hachioji Hospital, Hachioji, Tokyo, Japan.
Osamu NishidaDepartment of Anaesthesiology and Critical Care Medicine, Fujita Health University School of Medicine, Toyoake City, Japan.
Yokohama Municipal Minato Red Cross Hospital · JPFujita Health University · JPKagawa University Hospital · JPOsaka Prefectural Medical Center · JPTohoku Medical and Pharmaceutical University · JPTokai University Hachioji Hospital · JPUniversity of the Ryukyus · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPostintensive care syndrome (PICS) is defined as a new or worsening impairment in cognition, mental health and physical function after critical illness. There is little evidence regarding treatment of patients with PICS; new directions for effective treatment strategies are urgently needed. Early physiotherapy may prevent or reverse some physical impairments in patients with PICS, but no systematic reviews have investigated the effectiveness of early rehabilitation on PICS-related outcomes. The purpose of this systematic review is to evaluate whether early rehabilitative interventions in critically ill patients can prevent PICS and decrease mortality.

methodsWe will conduct a systematic review and meta-analysis of early rehabilitation for the prevention of PICS in critically ill adults. We will search PubMed, EMBASE and the Cochrane Central Register of Controlled Trials for published randomised controlled trials. We will screen search results and assess study selection, data extraction and risk of bias in duplicate, resolving disagreements by consensus. We will pool data from clinically homogeneous studies using a random-effects meta-analysis; assess heterogeneity of effects using the χ DISCUSSION: This systematic review will present evidence on the prevention of PICS in critically ill patients with early rehabilitation. ETHICS: Ethics approval is not required. DISSEMINATION: The results will be disseminated via peer-reviewed journal publication, conference presentation(s) and publications for patient information. TRIAL REGISTRATION NUMBER: CRD42016039759.

Indexed as

Critical CareAdultCognitive DysfunctionCritical IllnessHealth StatusHumansMental HealthMeta-Analysis as TopicPhysical Therapy ModalitiesResearch DesignSystematic Reviews as TopicEarly rehabilitationPost-Intensive Care SyndromeSepsis

Identifiers

PMID28249850
PMCPMC5353352
OpenAlexW2592497386

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.