Evidence map›Paper›PMID 38022828›Full record

SynthesisInternational journal of chronic obstructive pulmonary disease2023

Predictors of Readmission, for Patients with Chronic Obstructive Pulmonary Disease (COPD) - A Systematic Review.

Ronald Chow, Olivia W So, James H B Im, Kenneth R Chapman, Ani Orchanian-Cheff, Andrea S Gershon, Robert Wu

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in International journal of chronic obstructive pulmonary disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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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

7 authors.

Ronald ChowUniversity Health Network, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-6195-8624
Olivia W SoUniversity Health Network, University of Toronto, Toronto, ON, Canada.
James H B ImThe Hospital for Sick Children, Toronto, ON, Canada.
Kenneth R ChapmanUniversity Health Network, University of Toronto, Toronto, ON, Canada.
Ani Orchanian-CheffUniversity Health Network, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-9943-2692
Andrea S GershonSunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada.
Robert WuUniversity Health Network, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-6895-1107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Chronic obstructive pulmonary disease (COPD) is the third-leading cause of death globally and is responsible for over 3 million deaths annually. One of the factors contributing to the significant healthcare burden for these patients is readmission. The aim of this review is to describe significant predictors and prediction scores for all-cause and COPD-related readmission among patients with COPD. Methods: A search was conducted in Ovid MEDLINE, Ovid Embase, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials, from database inception to June 7, 2022. Studies were included if they reported on patients at least 40 years old with COPD, readmission data within 1 year, and predictors of readmission. Study quality was assessed. Significant predictors of readmission and the degree of significance, as noted by the Results: In total, 242 articles reporting on 16,471,096 patients were included. There was a low risk of bias across the literature. Of these, 153 studies were observational, reporting on predictors; 57 studies were observational studies reporting on interventions; and 32 were randomized controlled trials of interventions. Sixty-four significant predictors for all-cause readmission and 23 for COPD-related readmission were reported across the literature. Significant predictors included 1) pre-admission patient characteristics, such as male sex, prior hospitalization, poor performance status, number and type of comorbidities, and use of long-term oxygen; 2) hospitalization details, such as length of stay, use of corticosteroids, and use of ventilatory support; 3) results of investigations, including anemia, lower FEV Conclusion: The findings from this review may enable better predictive modeling and can be used by clinicians to better inform their clinical gestalt of readmission risk.

Indexed as

Pulmonary Disease, Chronic ObstructiveAdultHospitalizationHumansMaleOxygenPatient ReadmissionOxygenchronic obstructive pulmonary diseasepredictorsreadmission

Identifiers

PMID38022828
PMCPMC10664718

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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.