Evidence map›Paper›PMID 37160939›Full record

ArticleScientific reports2023

Establishment and application of suspension static method in blood group screening of automated blood group analyzer.

Min Huang, Chengping Ma, Yan Li, Ruiping Dong, Rongrong Pang, Shuizhen Huang, Qiang Fu, Libo Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 1 institution in 1 country.

Min Huang *Department of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China.
Chengping Ma *Department of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China.
Yan Li *Department of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China.
Ruiping Dong *Department of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China.
Rongrong PangDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China.
Shuizhen HuangDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China.
Qiang FuDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China. fuqiangnj@hotmail.com.
Libo ZhangDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, Nanjing, Jiangsu, China. 37280240@qq.com.
Jiangsu Province Blood Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accuracy of blood group identification is the basis of blood transfusion safety. In order to increase the detection rate of weak agglutination, unexpected antibodies (UAb) and blood subtypes for pre-transfusion testing, the blood group screening process of automated blood group analyzer (ABGA) is ameliorated by introducing one static step and establishing a suspension static method (SSM). One static step was introduced in the blood group screening process of ABGA and three static time conditions were designed: 300 s, 400 s and 500 s, from which the optimal static time was selected and SSM was established; By comparing the detection of weak agglutination and UAb before and after the application of SSM, the feasibility and effect of suspension static method were verified and evaluated. The last two steps of the automatic blood group screening process were replaced with static, light centrifugation and imaging. The optimal static time parameter was selected as 400 s and SSM was established; After the application of SSM, it was verified that: (1) The detection level of weak antibodies (anti-A and anti-B) and weak antigens (weak D phenotype) could be improved by SSM, including antibodies in plasma of known type O samples with 0, 2, 4, 8, 16 and 32 times serial dilutions(simulating weak anti-A and weak anti-B), weak antibodies (anti-B) in plasma of one normal A-type sample and weak antigens on red blood cells (RBC) of 5 weak D phenotype samples (weak D antigen); (2) Three blood donor samples (type A, O and B) with known UAb were detected by SSM. The results showed that SSM could detect both weak antibodies (anti-A and anti-B) and UAb; (3) SSM was applied to detect the samples of 3 A

Indexed as

Blood Group AntigensAntibodiesBlood DonorsErythrocytesHumansSuspensionsAntibodiesBlood Group AntigensSuspensions

Identifiers

PMID37160939
PMCPMC10169128
OpenAlexW4376114587

What OpenQuestion holds

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LicenceCC BY
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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.