Evidence map›Paper›PMID 36069667›Full record

ArticleHuman vaccines & immunotherapeutics2022

Clinical characteristics in immune thrombocytopenia patients after COVID-19 vaccination.

Yimei Feng, Yao Quan, Kaniel Cassady, Zhongmin Zou, Yuan Gao, Xi Zhang

Open access · goldAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
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

6 authors at 4 institutions in 2 countries.

Yimei FengMedical Center of Hematology, The Xinqiao Hospital of Army Medical University, Chongqing, China.
Yao QuanMedical Center of Hematology, The Xinqiao Hospital of Army Medical University, Chongqing, China.
Kaniel CassadyRegeneron Pharmaceuticals, Tarrytown, NY, USA.
Zhongmin ZouDepartment of Chemical Defense Medicine, School of Military Preventive Medicine, Army Medical University, Chongqing, China.
Yuan GaoDepartment of Neonatology, Maternal and Child Health Service Hospital, Chongqing, China.
Xi ZhangMedical Center of Hematology, The Xinqiao Hospital of Army Medical University, Chongqing, China.
Army Medical University · CNChongqing Maternal and Child Health Hospital · CNRegeneron (United States) · USXinqiao Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is well documented that COVID-19 vaccines greatly reduce the severity and complications of SARS-CoV-2 infection. However, it has been reported that COVID-19 related vaccines may induce or exacerbate autoimmune hematological disorders, for example, a decrease in platelet numbers characteristic of immune thrombocytopenia (ITP). To investigate this, we retrospectively reported, for the first time, the clinical characteristics of 42 ITP patients after COVID-19 vaccination in southwest China. Of the 42 patients, 28 patients were historically diagnosed ITP, and their platelet counts (PC) decrease mainly occurred after the first-dose vaccinations. The average PC after vaccination was 39.5 × 10

Indexed as

COVID-19COVID-19 VaccinesPurpura, Thrombocytopenic, IdiopathicThrombocytopeniaHumansRetrospective StudiesSARS-CoV-2VaccinationCOVID-19 VaccinesCOVID-19immunological testITPplatelet countsvaccination

Identifiers

PMID36069667
PMCPMC9746405
OpenAlexW4294921240

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.