Evidence map›Paper›PMID 37304099›Full record

ArticleFrontiers in public health2023

Novel risk patterns of vasovagal reactions in NZ blood donations complicated by COVID-19 restrictions.

Wen-Hua Wei, Meredith Smith, Amber Vera, Kelly Meads, Jillayne Hessell, Laura Reid, Lisa Scott, Asuka Burge, Susy Kirwan, Richard Charlewood and 3 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 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
1.2field-weighted citation impact, top 18% 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, 3 citations in OpenAlex.

  1. Sociodemographic Factors Related to Adverse Donor Reactions in Shenzhen.International journal of general medicine · 2023
    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

13 authors at 1 institution in 1 country.

Wen-Hua WeiNew Zealand Blood Service, Auckland, New Zealand.
Meredith SmithNew Zealand Blood Service, Auckland, New Zealand.
Amber VeraNew Zealand Blood Service, Auckland, New Zealand.
Kelly MeadsNew Zealand Blood Service, Auckland, New Zealand.
Jillayne HessellNew Zealand Blood Service, Auckland, New Zealand.
Laura ReidNew Zealand Blood Service, Auckland, New Zealand.
Lisa ScottNew Zealand Blood Service, Auckland, New Zealand.
Asuka BurgeNew Zealand Blood Service, Auckland, New Zealand.
Susy KirwanNew Zealand Blood Service, Auckland, New Zealand.
Richard CharlewoodNew Zealand Blood Service, Auckland, New Zealand.
Deepak SadaniNew Zealand Blood Service, Auckland, New Zealand.
Deborah WalkdenNew Zealand Blood Service, Auckland, New Zealand.
Anup ChandNew Zealand Blood Service, Auckland, New Zealand.
Manchester Academic Health Science Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Vasovagal reactions (VVRs) are common but complex donor adverse reactions (DAEs) in blood donations. VVRs have been extensively studied with a multitude of risk factors identified including young age, female gender and first-time donor status. How they may interplay remains obscure. Methods: A total of 1,984,116 blood donations and 27,952 immediate VVRs (iVVRs) and 1,365 delayed VVRs (dVVRs) reported between 2011 and 2021 in NZ were used in multivariate logistic regression analyses each concerning donations with iVVRs as cases and those free of DAEs as controls. For each analysis stepwise selection was used to identify the best model and risk factors carrying significant main effects and/or interactions. Identified interactions informed further in-depth regression analyses to dissect iVVR risk patterns. Results: Over 95% of VVRs were iVVRs that had lower female preponderance and deferrals than dVVRs. iVVRs had a school seasonal pattern in whole blood donations driven by first-time donors from schools/colleges, and interactions between gender and age group differentiating the first-time from repeat donations. Subsequent regression analyses identified the known and novel risk factors of year and mobile collection sites and their interactions. iVVR rates were roundly elevated in 2020 and 2021 probably because of COVID-19 restrictions like facemask wearing. Exclusion of the 2020 and 2021 data removed the interactions with year, but confirmed interactions of gender with mobile collection sites ( Conclusion: Modeling statistical interactions is valuable in identifying odds and revealing novel iVVR risk patterns and insights into blood donations.

Indexed as

Blood DonationCOVID-19FemaleHumansMasksPersonal Protective EquipmentPolicyblood donationCOVID-19donor adverse reactionimmediate vasovagal reactioninteractionvasovagal reaction

Identifiers

PMID37304099
PMCPMC10248232
OpenAlexW4378176514

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.