We thank the reader for reading our review with interest [1]. This review was undertaken and reported in accordance with the preferred reporting items for systematic review and meta-analyses (PRISMA) guidelines [2]. The details have been shared in the supplementary material [1].

Systematic reviews assessing the effectiveness of an intervention or therapy use the PICO approach. Our systematic review was not intended to “summarize the findings of several clinical trials that evaluate the effectiveness or efficacy of a similar treatment approach on similar group of patients”. In the present systematic review, we intend to review and summarize the available evidence on MIS-C to synthesize the overall prognosis based upon expert opinion. We focussed on paediatric population using the words infant, newborn, child, and adolescent as has been mentioned in search strategy. Detail of contribution by each author were shared while submission of the paper.

MEDLINE is a great resource for medical research, and PubMed is a free interface to search primarily the MEDLINE database of references and abstracts on life sciences and biomedical topics. Same has been done by us. Databases like EMBASE are paid not accessible through our institution, hence not used for searching papers. The data was extracted on excel sheet which was used for descriptive stats, and meta analysis. All included studies were published and peer reviewed, as can be verified from the references. The extracted data was properly reviewed by all authors.

There are several tools for assessing the methodological quality of observational studies. One among them is the STROBE checklist which was used by us for evaluating the reporting of observational studies [3].

In case reports and observational studies, population characteristics and exposure or outcome definitions will likely differ across studies, hence heterogeneity. Inclusion of case series is not uncommon in systematic reviews; it could be seen as a cohort study without a control group. A meta-analysis thoroughly examines a number of valid studies on a topic and mathematically combine the results using accepted statistical methodology to report the results as if it were one large study.

As the COVID is an evolving disease and new facts and research is still on its way. We acknowledge that during this challenging emergency times, scientific communication should be promoted; the focus is to share the new findings and experiences during the early stage of the pandemic with the researchers on a larger platform so that appropriate strategies can be evolved timely to control the spread of this virus.