Evidence map›Paper›PMID 33547527›Full record

SynthesisJournal of neurology2021

Characteristics of intracerebral haemorrhage associated with COVID-19: a systematic review and pooled analysis of individual patient and aggregate data.

R Beyrouti, J G Best, A Chandratheva, R J Perry, D J Werring

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 3 pooled it
4.8field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 3 syntheses or guidelines pooled it, 45 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Characteristics of subarachnoid hemorrhage associated with COVID-19 infection: A systematic review and descriptive analysis.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2023
    Pooled it
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  15. Olfactory Bulb and Amygdala Gene Expression Changes in Subjects Dying with COVID-19.medRxiv : the preprint server for health sciences · 2021
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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

5 authors at 2 institutions in 2 countries.

R BeyroutiComprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.
J G BestStroke Research Centre, Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, First Floor, Russell Square House, 10-12 Russell Square, London, WC1B 5EH, UK.
A ChandrathevaComprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.
R J PerryComprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK.
D J WerringComprehensive Stroke Service, National Hospital for Neurology and Neurosurgery, University College Hospitals NHS Foundation Trust, Queen Square, London, WC1N 3BG, UK. d.werring@ucl.ac.uk.ORCID http://orcid.org/0000-0003-2074-1861
University College Hospital · GBNational Hospital for Neurology and Neurosurgery · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThere are very few studies of the characteristics and causes of ICH in COVID-19, yet such data are essential to guide clinicians in clinical management, including challenging anticoagulation decisions. We aimed to describe the characteristics of spontaneous symptomatic intracerebral haemorrhage (ICH) associated with COVID-19.

methodsWe systematically searched PubMed, Embase and the Cochrane Central Database for data from patients with SARS-CoV-2 detected prior to or within 7 days after symptomatic ICH. We did a pooled analysis of individual patient data, then combined data from this pooled analysis with aggregate-level data.

resultsWe included data from 139 patients (98 with individual data and 41 with aggregate-level data). In our pooled individual data analysis, the median age (IQR) was 60 (53-67) years and 64% (95% CI 54-73.7%) were male; 79% (95% CI 70.0-86.9%) had critically severe COVID-19. The pooled prevalence of lobar ICH was 67% (95% CI 56.3-76.0%), and of multifocal ICH was 36% (95% CI 26.4-47.0%). 71% (95% CI 61.0-80.4%) of patients were treated with anticoagulation (58% (95% CI 48-67.8%) therapeutic). The median NIHSS was 28 (IQR 15-28); mortality was 54% (95% CI 43.7-64.2%). Our combined analysis of individual and aggregate data showed similar findings. The pooled incidence of ICH across 12 cohort studies of inpatients with COVID-19 (n = 63,390) was 0.38% (95% CI 0.22-0.58%).

conclusionsOur data suggest that ICH associated with COVID-19 has different characteristics compared to ICH not associated with COVID-19, including frequent lobar location and multifocality, a high rate of anticoagulation, and high mortality. These observations suggest different underlying mechanisms of ICH in COVID-19 with potential implications for clinical treatment and trials.

Indexed as

COVID-19Cerebral HemorrhageCohort StudiesHumansMaleMiddle AgedSARS-CoV-2AnticoagulationCOVID-19Intracerebral haemorrhageStroke

Identifiers

PMID33547527
PMCPMC7864476
OpenAlexW3128450092

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.