Evidence map›Paper›PMID 37204728›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Multiple Electrode Aggregometry (Multiplate): Functional Assay for Vaccine-Induced (Immune) Thrombotic Thrombocytopenia (VITT).

Yvonne Kong, Geoffrey Kershaw, Yuet Kee Suki Fu, Freda Passam

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
3.4field-weighted citation impact, top 10% 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 citations in OpenAlex.

  1. Article
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

4 authors at 1 institution in 1 country.

Yvonne KongHaematology Department, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
Geoffrey KershawHaematology Department, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
Yuet Kee Suki FuHaematology Department, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia.
Freda PassamHaematology Department, New South Wales Health Pathology, Royal Prince Alfred Hospital, Sydney, NSW, Australia. freda.passam@sydney.edu.au.
Royal Prince Alfred Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vaccine-induced immune thrombotic thrombocytopenia (VITT) was first described in 2021 and represents an adverse reaction to adenoviral vector COVID-19 vaccines AstraZeneca ChAdOx1 nCoV-19 (AZD1222) and Johnson & Johnson Ad26.COV2.S vaccine. VITT is a severe immune platelet activation syndrome with an incidence of 1-2 per 100,000 vaccinations. The features of VITT include thrombocytopenia and thrombosis within 4-42 days of first dose of vaccine. Affected individuals develop platelet-activating antibodies against platelet factor 4 (PF4). The International Society on Thrombosis and Haemostasis recommends both an antigen-binding assay (enzyme-linked immunosorbent assay, ELISA) and a functional platelet activation assay for the diagnostic workup of VITT. Here, the application of multiple electrode aggregometry (Multiplate) is presented as a functional assay for VITT.

Indexed as

COVID-19ThrombocytopeniaVaccinesAd26COVS1AntibodiesChAdOx1 nCoV-19COVID-19 VaccinesElectrodesHumansPlatelet Factor 4Ad26COVS1AntibodiesChAdOx1 nCoV-19COVID-19 VaccinesPlatelet Factor 4VaccinesMultiplateMultiple electrode aggregometryPlatelet factor 4 antibodyThrombosis with thrombocytopenia syndromeTTSVaccine-induced thrombotic thrombocytopeniaVITT

Identifiers

PMID37204728
OpenAlexW4377093712

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.