Evidence map›Paper›PMID 38998785›Full record

ArticleHealthcare (Basel, Switzerland)2024

Preliminary Report of Nationwide COVID-19 Vaccine Compensation in Taiwan.

Yi-An Lu, Fu-Yuan Huang, Hsin Chi, Chien-Yu Lin, Nan-Chang Chiu

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2024. 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
–field-weighted citation impact
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. 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

5 authors.

Yi-An LuDivision of Pediatric Infectious Diseases, Department of Pediatrics, Mackay Memorial Hospital, Taipei 10449, Taiwan.
Fu-Yuan HuangDivision of Pediatric Infectious Diseases, Department of Pediatrics, Mackay Memorial Hospital, Taipei 10449, Taiwan.
Hsin ChiDivision of Pediatric Infectious Diseases, Department of Pediatrics, Mackay Memorial Hospital, Taipei 10449, Taiwan.ORCID 0000-0002-2385-344X
Chien-Yu LinDepartment of Medicine, MacKay Medical College, New Taipei City 25245, Taiwan.ORCID 0000-0003-4630-8724
Nan-Chang ChiuDivision of Pediatric Infectious Diseases, Department of Pediatrics, Mackay Memorial Hospital, Taipei 10449, Taiwan.ORCID 0000-0002-3966-5021

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The potential adverse effects of coronavirus disease 2019 (COVID-19) vaccinations raise public concerns. Data from Taiwan's Vaccine Injury Compensation Program (VICP) can provide valuable insights. This study analyzed the preliminary application data for COVID-19 vaccine compensation in Taiwan's VICP, focusing on applicants receiving vaccines between March 2021 and June 2022. Among the 2941 adverse events, 113 cases (3.8%) were deemed causally associated with vaccination, 313 (10.6%) were indeterminate, and 2515 (85.5%) had no causal association. Nearly half (47.6%) of the applicants were over 60 years old, and 76.6% had a history of pre-existing chronic diseases. Among the 426 vaccine-associated or indeterminate cases, the most common causes were hematological diseases and thrombosis. There were 920 mortality cases reported, and 97.4% were unassociated with vaccination. Only five deaths were judged to be associated with the COVID-19 vaccination, all involving the adenovirus vector vaccine and thrombosis with thrombocytopenia syndrome. In conclusion, most compensation applications were not causally linked to vaccination. Compared to other countries, the number of applications in Taiwan's VICP is relatively high. These findings may indicate a need to adjust the application requirements for compensation in Taiwan's program.

Indexed as

coronavirus disease 2019 vaccinevaccine adverse eventsVaccine Injury Compensation Program

Identifiers

PMID38998785
PMCPMC11241583

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Registered trials

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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.