Evidence map›Paper›PMID 35719439›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2022

Multisystem Inflammatory Syndrome in Adult Following COVID-19 Vaccination (MIS-AV).

Ram Narayanan Ganapathiram, Sonia Hudson

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
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 1 institution in 1 country.

Ram Narayanan GanapathiramDepartment of Intensive Care Medicine, Broomfield Hospital, England, United Kingdom.ORCID https://orcid.org/0000-0001-8242-4779
Sonia HudsonDepartment of Intensive Care Medicine, Broomfield Hospital, England, United Kingdom.
Broomfield Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The last 2 years have been dominated by coronavirus disease-2019 (COVID-19), its various presentations, complications, and their management. The first COVID-19 vaccine, produced by Pfizer-BioNTech, was granted regulatory approval on December 2, 2020, by the UK medicines regulator medicines and healthcare products regulatory agency (MHRA). It was evaluated for emergency use authorization (EUA) status by the US Food and Drug Administration (FDA) and in several other countries. Following millions of doses, during the early months of 2021, reports of side effects of the vaccines began to emerge. In this case report, we discuss the case of a 22-year-old female patient who presented with fever and confusion, with later progression to multiple organ failure, following administration of Pfizer-BioNTech vaccine. She was successfully treated with intravenous (IV) immunoglobulin (Ig) and high-dose IV corticosteroids. This case report is unique as lymph node biopsy was carried out-this showed marked suppurative inflammation with vasculitic changes, thus supporting the diagnosis. How to cite this article: Ganapathiram RN, Hudson S. Multisystem Inflammatory Syndrome in Adult Following COVID-19 Vaccination (MIS-AV). Indian J Crit Care Med 2022;26(5):649-650.

Indexed as

ARDSCOVID-19Critically ill adults

Identifiers

PMID35719439
PMCPMC9160620
OpenAlexW4225134805

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.