Evidence map›Paper›PMID 35765873›Full record

ArticleAnnals of laboratory medicine2022

Investigation of Discrepant ABO Blood Grouping Results from an Autoanalyzer.

Young Ae Lim, Seo-Jin Park, Hyun Soo Cho

Abstract read
In one paragraph

Article in Annals of laboratory medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Utility ofAnnals of laboratory medicine · 2025
    Article
  2. Allelic Enhancement ofAnnals of laboratory 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

3 authors.

Young Ae LimDepartment of Laboratory Medicine, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0002-8472-289X
Seo-Jin ParkDepartment of Laboratory Medicine, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0003-2768-1080
Hyun Soo ChoDepartment of Laboratory Medicine, Ajou University Hospital, Suwon, Korea.ORCID https://orcid.org/0000-0003-1086-2539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A paucity of studies evaluating failed cases of ABO grouping using autoanalyzers exists. We investigated autoanalyzer rejected cases, including serologically suspicious ABO subgroups and discrepant ABO blood grouping results from Erytra Eflexis (Grifols, Spain), to demonstrate efficient use of autoanalyzers for ABO grouping. Methods: Samples requested for ABO grouping throughout 2020 were tested using two Eflexis instruments and standard ABO RhD and reverse grouping cards. Neonatal cards were not used. When necessary, a conventional tube technique (TUBE) was used to resolve rejected/discrepant Eflexis ABO grouping results. Results: The overall sample rejection rate (RR) was 3.2% (628/19,466), 1.3% of which were due to various error flags and 1.9% for discrepant results. Cases from neonates ≤1 year old accounted for 35.3% of the rejected cases based on Eflexis results. The ABO groups with the highest and lowest RR (excluding neonates) were A and O, respectively. The 628 samples resulted in 682 rejections, which were frequently associated with reverse grouping, including 28.4% against A Conclusions: The ABO group and a proportion of neonatal samples influenced the RR due to weak reverse grouping reactivity, especially toward B red cells. Confirmatory ABO grouping by TUBE in a new patient and/or extra rejection criteria for forward grouping are needed to detect cis-AB, which is relatively common in Korea.

Indexed as

ABO Blood-Group SystemBlood Grouping and CrossmatchingHumansInfantInfant, NewbornRepublic of KoreaABO Blood-Group SystemABO blood group systemAutoanalyzerInstrumentRejection

Identifiers

PMID35765873
PMCPMC9277040

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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.