Evidence map›Paper›PMID 34189735›Full record

SynthesisAnaesthesia2021

Factors associated with mortality in patients with COVID-19 admitted to intensive care: a systematic review and meta-analysis.

E H Taylor, E J Marson, M Elhadi, K D M Macleod, Y C Yu, R Davids, R Boden, R C Overmeyer, R Ramakrishnan, D A Thomson and 2 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Anaesthesia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

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

  1. Obesity as an independent risk factor for COVID-19 severity and mortality.The Cochrane database of systematic reviews · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

E H TaylorGlobal Surgery Division, University of Cape Town, Cape Town, South Africa.
E J MarsonCollege of Medical and Dental Sciences, Birmingham, UK.
M ElhadiFaculty of Medicine, University of Tripoli, Tripoli, Libya.
K D M MacleodGlasgow Royal Infirmary, Glasgow, UK.
Y C YuDepartment of Anaesthesiology and Critical Care, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
R DavidsDepartment of Anaesthesiology and Critical Care, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
R BodenFaculty of Health Sciences, University of Cape Town, Cape Town, South Africa.
R C OvermeyerDepartment of Anaesthesiology and Critical Care, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
R RamakrishnanNational Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
D A ThomsonDivision of Critical Care, University of Cape Town, Cape Town, South Africa.
J CoetzeeDepartment of Anaesthesiology and Critical Care, Stellenbosch University and Tygerberg Hospital, Cape Town, South Africa.
B M BiccardDepartment of Anaesthesia and Peri-operative Medicine, Groote Schuur Hospital, Faculty of Health Sciences, University of Cape Town, Cape Town, South Africa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of high-risk patients admitted to intensive care with COVID-19 may inform management strategies. The objective of this meta-analysis was to determine factors associated with mortality among adults with COVID-19 admitted to intensive care by searching databases for studies published between 1 January 2020 and 6 December 2020. Observational studies of COVID-19 adults admitted to critical care were included. Studies of mixed cohorts and intensive care cohorts restricted to a specific patient sub-group were excluded. Dichotomous variables were reported with pooled OR and 95%CI, and continuous variables with pooled standardised mean difference (SMD) and 95%CI. Fifty-eight studies (44,305 patients) were included in the review. Increasing age (SMD 0.65, 95%CI 0.53-0.77); smoking (OR 1.40, 95%CI 1.03-1.90); hypertension (OR 1.54, 95%CI 1.29-1.85); diabetes (OR 1.41, 95%CI 1.22-1.63); cardiovascular disease (OR 1.91, 95%CI 1.52-2.38); respiratory disease (OR 1.75, 95%CI 1.33-2.31); renal disease (OR 2.39, 95%CI 1.68-3.40); and malignancy (OR 1.81, 95%CI 1.30-2.52) were associated with mortality. A higher sequential organ failure assessment score (SMD 0.86, 95%CI 0.63-1.10) and acute physiology and chronic health evaluation-2 score (SMD 0.89, 95%CI 0.65-1.13); a lower PaO

Indexed as

Hospital MortalityIntensive Care UnitsAge FactorsChronic DiseaseComorbidityCOVID-19Critical CareHumansOrgan Dysfunction ScoresRisk FactorsSARS-CoV-2COVID-19critical caremeta-analysismortality

Identifiers

PMID34189735
PMCPMC8444810

What OpenQuestion holds

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Read underepoch 390

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.