Evidence map›Paper›PMID 35677770›Full record

SynthesisFrontiers in public health2022

Systematic Review on COVID-19 Readmission and Risk Factors: Future of Machine Learning in COVID-19 Readmission Studies.

Wei Kit Loo, Khairunnisa Hasikin, Anwar Suhaimi, Por Lip Yee, Kareen Teo, Kaijian Xia, Pengjiang Qian, Yizhang Jiang, Yuanpeng Zhang, Samiappan Dhanalakshmi and 2 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

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  17. Respiratory Interventions, Hospital Utilization, and Clinical Outcomes of Persons with COPD and COVID-19.International journal of chronic obstructive pulmonary disease · 2023
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  20. Comparison of Healthcare Expenditures Among Individuals With and Without Long COVID in the United States.Inquiry : a journal of medical care organization, provision and financing
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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

12 authors at 5 institutions in 3 countries.

Wei Kit LooDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Khairunnisa HasikinDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Anwar SuhaimiDepartment of Rehabilitation Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Por Lip YeeDepartment of Computer System and Technology, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia.
Kareen TeoDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Kaijian XiaDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
Pengjiang QianSchool of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China.
Yizhang JiangSchool of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China.
Yuanpeng ZhangDepartment of Medical Informatics of Medical (Nursing) School, Nantong University, Nantong, China.
Samiappan DhanalakshmiDepartment of ECE, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, India.
Muhammad Mokhzaini AzizanDepartment of Electrical and Electronic Engineering, Faculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, Nilai, Malaysia.
Khin Wee LaiDepartment of Biomedical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur, Malaysia.
University of Malaya · MYJiangnan University · CNNantong University · CNSRM Institute of Science and Technology · INUniversiti Sains Islam Malaysia · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this review, current studies on hospital readmission due to infection of COVID-19 were discussed, compared, and further evaluated in order to understand the current trends and progress in mitigation of hospital readmissions due to COVID-19. Boolean expression of ("COVID-19" OR "covid19" OR "covid" OR "coronavirus" OR "Sars-CoV-2") AND ("readmission" OR "re-admission" OR "rehospitalization" OR "rehospitalization") were used in five databases, namely Web of Science, Medline, Science Direct, Google Scholar and Scopus. From the search, a total of 253 articles were screened down to 26 articles. In overall, most of the research focus on readmission rates than mortality rate. On the readmission rate, the lowest is 4.2% by Ramos-Martínez et al. from Spain, and the highest is 19.9% by Donnelly et al. from the United States. Most of the research (

Indexed as

COVID-19Patient ReadmissionHumansLogistic ModelsMachine LearningRisk FactorsUnited StatesCOVID-19machine learningmortalityreadmissionrisk factors

Identifiers

PMID35677770
PMCPMC9168237
OpenAlexW4281289704

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.