Evidence map›Paper›PMID 36562217›Full record

SynthesisEuropean journal of haematology2023

Immune thrombocytopenic purpura secondary to COVID-19 vaccination: A systematic review.

Ali Bidari, Sara Asgarian, Arash Pour Mohammad, Delaram Naderi, Shiva Rahimipour Anaraki, Milad Gholizadeh Mesgarha, Mahya Naderkhani

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in European journal of haematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Ali BidariDepartment of Rheumatology, Rasool Akram Medical Complex Clinical Research Development Center (RCRDC), School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID https://orcid.org/0000-0002-3583-1838
Sara AsgarianCellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences (SBMU), Tehran, Iran.
Arash Pour MohammadFaculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID https://orcid.org/0000-0003-3064-4299
Delaram NaderiFaculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID https://orcid.org/0000-0002-6967-4885
Shiva Rahimipour AnarakiFaculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.
Milad Gholizadeh MesgarhaFaculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID https://orcid.org/0000-0002-5101-6112
Mahya NaderkhaniDepartment of Emergency medicine, Rasool Akram Medical Complex Clinical Research Development Center (RCRDC), School of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran.ORCID https://orcid.org/0000-0002-6826-3283
Iran University of Medical Sciences · IRResearch Institute for Endocrine Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis systematic review aimed to retrieve patients diagnosed with de novo immune thrombocytopenic purpura (ITP) after COVID-19 immunization to determine their epidemiological characteristics, clinical course, therapeutic strategies, and outcome. MATERIALS AND

methodsWe conducted the review using four major databases, comprising PubMed, Scopus, Web of Science, and the Cochrane library, until April 2022. A systematic search was performed in duplicate to access eligible articles in English. Furthermore, a manual search was applied to the chosen papers' references to enhance the search sensitivity. Data were extracted and analyzed with the SPSS 20.1 software.

resultsA total of 77 patients with de novo COVID-19 vaccine-associated ITP were identified from 41 studies, including 31 case reports and 10 case series. The median age of patients who developed COVID-19 vaccine-associated ITP was 54 years (IQR 36-72 years). The mRNA-based COVID-19 vaccines, including BNT16B2b2 and mRNA-1273, were most implicated (75.4%). Those were followed by the adenovirus vector-based vaccines, inclusive of ChAdOx1 nCoV-19 and vAd26.COV2.S. No report was found relating ITP to other COVID-19 vaccines. Most cases (79.2%) developed ITP after the first dose of COVID-19 vaccination. 75% of the patients developed ITP within 12 days of vaccination, indicating a shorter lag time compared to ITP after routine childhood vaccinations. Sixty-seven patients (87%) patients were hospitalized. The management pattern was similar to primary ITP, and systemic glucocorticoids, IVIg, or both were the basis of the treatment in most patients. Most patients achieved therapeutic goals; only two individuals required a secondary admission, and one patient who presented with intracranial hemorrhage died of the complication.

conclusionsDe novo ITP is a rare complication of COVID-19 vaccination, and corresponding reports belong to mRNA-based and adenovirus vector-based vaccines, in order of frequency. This frequency pattern may be related to the scale of administration of individual vaccines and their potency in inducing autoimmunity. The more the COVID-19 vaccine is potent to induce antigenic challenge, the shorter the lag time would be. Most patients had a benign course and responded to typical treatments of primary ITP.

Indexed as

COVID-19COVID-19 VaccinesPurpura, Thrombocytopenic, IdiopathicAdultAgedChAdOx1 nCoV-19HumansMiddle AgedVaccinationChAdOx1 nCoV-19COVID-19 VaccinesCOVID-19idiopathic thrombocytopenic purpuraimmune thrombocytopeniaplateletSARS-CoV-2vaccine

Identifiers

PMID36562217
PMCPMC9880659
OpenAlexW4313340034

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.