ReviewCureus2023
Cardiovascular Manifestations of Multisystem Inflammatory Syndrome in Children (MIS-C) Associated With COVID-19.
Review in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- MIS-C: Diagnosis, Management, and Outcomes.Open forum infectious diseases · 2026Review
- Comparison of Immunomodulatory Therapies for Cardiovascular Clinical and Inflammatory Markers Outcomes in Mild to Moderately Ill Hospitalized Multisystem Inflammatory Syndrome in Children Patients.Journal of cardiovascular development and disease · 2025Article
- Cardiac Function in Pediatric Patients with MIS-C Using Speckle Tracking and Conventional Echocardiography: A Longitudinal, Single-Center Study.Pediatric cardiology · 2025Article
- Article
- Echocardiograms and bed placement in patients with multisystem inflammatory syndrome in children.Translational pediatrics · 2024Article
- "Multisystem Inflammatory Syndrome in Children"-Like Disease after COVID-19 Vaccination (MIS-V) with Potential Significance of Functional Active Autoantibodies Targeting G-Protein-Coupled Receptors (GPCR-fAAb) for Pathophysiology and Therapy.Children (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since 2019, the global pandemic caused by the SARS-CoV-2 virus, also known as COVID-19, has dramatically affected every aspect of health and society. With wide-ranging socio-economic ramifications and the morbidity/mortality associated with the disease, a lot of research has been done on this disease. With recent surges and new variants of the COVID-19 virus, we must have regularly updated information on this disease to effectively manage this disease and to maximize outcomes for patients. Worldwide data, so far, has suggested that children have milder or asymptomatic acute infectious phase, most often presenting with mild upper respiratory infection (URI) symptoms compared to the adult population. However, in the post-acute phase, it was observed that children presented with a syndrome that strongly resembled Kawasaki's disease (KD), and like in KD, they could potentially develop severe life-threatening complications. The significant difference between KD and this syndrome is the association with COVID-19 infection. This syndrome was observed to affect almost all organ systems including cardiovascular, gastrointestinal, and integumentary and was later named multisystem inflammatory syndrome in children (MIS-C) by the Pediatric Intensive Care Society in April 2020. The cardiovascular manifestations of this clinical entity have been associated with significant morbidity and mortality. This review is an attempt to give consolidated information from the studies done so far about the cardiac changes that occur from SARS-CoV-2 infection/MIS-C.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.