Evidence map›Paper›PMID 35124866›Full record

SynthesisMicrocirculation (New York, N.Y. : 1994)2022

Incidence of white matter lesions in hospitalized COVID-19 patients: A meta-analysis.

Aarushi Rastogi, Sonu Menachem Maimonides Bhaskar

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Microcirculation (New York, N.Y. : 1994), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 4 pooled it
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 4 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Review
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

2 authors at 2 institutions in 1 country.

Aarushi RastogiGlobal Health Neurology and Translational Neuroscience Laboratory, Sydney, NSW, Australia.
Sonu Menachem Maimonides BhaskarGlobal Health Neurology and Translational Neuroscience Laboratory, Sydney, NSW, Australia.ORCID 0000-0002-9783-3628
New South Wales Department of Health · AUUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveNovel coronavirus disease 2019 (COVID-19) has been found to be associated with encephalopathy and brain imaging abnormalities. The identification of incident white matter lesions, known to be associated with cerebral microcirculatory failure and cerebrovascular disease, in COVID-19 patients is of clinical and scientific interest. We performed a meta-analysis to investigate the incidence of white matter lesions (WMLs) in hospitalized COVID-19 patients.

methodsPubMed, EMBASE, and the Cochrane Library were searched for studies on brain imaging abnormalities in hospitalized COVID-19 patients. The terms used included "white matter lesions," "white matter hyperintensity," "COVID-19," "coronavirus," and "SARS-CoV-2." A random-effects meta-analysis was conducted to obtain a pooled estimate of WML prevalence in hospitalized COVID-19 patients.

resultsA total of 4 eligible studies involving 362 patients (144 with WMLs and 218 without) were included in the meta-analysis. We found the pooled estimate of WML prevalence to be 20% (ES 0.20; 95% CI 0.00-0.54; p = .03).

conclusionsThe estimated pooled prevalence rate of WMLs was approximately 20% in hospitalized COVID-19 patients, albeit lower than the crude prevalence rate (39.8%).

Indexed as

COVID-19White MatterHumansIncidenceMicrocirculationSARS-CoV-2cerebrovascular diseaseCOVID-19leukoaraiosismicrocirculationSARS-CoV-2strokewhite matter lesions

Identifiers

PMID35124866
PMCPMC9115142
OpenAlexW4210654345

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.