Evidence map›Paper›PMID 33413817›Full record

ArticleMayo Clinic proceedings2021

Clinical Characteristics, Treatment, and Outcomes of Critically Ill Patients With COVID-19: A Scoping Review.

Chanyan Huang, Jalal Soleimani, Svetlana Herasevich, Yuliya Pinevich, Kelly M Pennington, Yue Dong, Brian W Pickering, Amelia K Barwise

Abstract readScoping Review
In one paragraph

Article in Mayo Clinic proceedings, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 5 pooled it
–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

45 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  14. Clinical manifestations of COVID-19 infection in dialysis patients and protective effect of COVID-19 vaccine.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Review
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  17. The Impact of Multidrug-ResistantHealthcare (Basel, Switzerland) · 2023
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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

8 authors.

Chanyan HuangDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN; Department of Anesthesiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China. Electronic address: hchany@mail.sysu.edu.cn.
Jalal SoleimaniDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Svetlana HerasevichDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Yuliya PinevichDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Kelly M PenningtonDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.
Yue DongDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Brian W PickeringDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Amelia K BarwiseDivision of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, MN.

Funding

Acute Care Learning Laboratory - Reducing Threats to Diagnostic Fidelity in Critical IllnessR18HS026609 · AHRQ · MAYO CLINIC ROCHESTER · PI PICKERING, BRIAN W · 2018 to 2021
$2.4M
AHRQ HHS R18 HS026609
6 · The paper itself

Abstract

A growing number of studies on coronavirus disease 2019 (COVID-19) are becoming available, but a synthesis of available data focusing on the critically ill population has not been conducted. We performed a scoping review to synthesize clinical characteristics, treatment, and clinical outcomes among critically ill patients with COVID-19. Between January 1, 2020, and May 15, 2020, we identified high-quality clinical studies describing critically ill patients with a sample size of greater than 20 patients by performing daily searches of the World Health Organization and LitCovid databases on COVID-19. Two reviewers independently reviewed all abstracts (2785 unique articles), full text (218 articles), and abstracted data (92 studies). The 92 studies included 61 from Asia, 16 from Europe, 10 from North and South America, and 5 multinational studies. Notable similarities among critically ill populations across all regions included a higher proportion of older males infected and with severe illness, high frequency of comorbidities (hypertension, diabetes, and cardiovascular disease), abnormal chest imaging findings, and death secondary to respiratory failure. Differences in regions included newly identified complications (eg, pulmonary embolism) and epidemiological risk factors (eg, obesity), less chest computed tomography performed, and increased use of invasive mechanical ventilation (70% to 100% vs 15% to 47% of intensive care unit patients) in Europe and the United States compared with Asia. Future research directions should include proof-of-mechanism studies to better understand organ injuries and large-scale collaborative clinical studies to evaluate the efficacy and safety of antivirals, antibiotics, interleukin 6 receptor blockers, and interferon. The current established predictive models require further verification in other regions outside China.

Indexed as

COVID-19Critical CareCritical IllnessHumansSARS-CoV-2

Identifiers

PMID33413817
PMCPMC7586927

What OpenQuestion holds

Textmetadata
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.