Evidence map›Paper›PMID 39605820›Full record

ArticleHeliyon2024

Application of random quality control based on time -series model in ELISA detection of blood donors in Nanjing.

Wenping Han, Jingjing Bao, Polu Hu, Yang Liu, Rongrong Pang, Rui-Ping Dong, Libo Zhang, Chengping Ma

Abstract read
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In one paragraph

Article in Heliyon, 2024. 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
–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

0 citing papers in PubMed.

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.

Wenping HanDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, No. 3 Zizhulin, Nanjing, Jiangsu, 210003, China.
Jingjing BaoDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, No. 3 Zizhulin, Nanjing, Jiangsu, 210003, China.
Polu HuDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, No. 3 Zizhulin, Nanjing, Jiangsu, 210003, China.
Yang LiuDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, No. 3 Zizhulin, Nanjing, Jiangsu, 210003, China.
Rongrong PangDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, No. 3 Zizhulin, Nanjing, Jiangsu, 210003, China.
Rui-Ping DongDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, No. 3 Zizhulin, Nanjing, Jiangsu, 210003, China.
Libo ZhangDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, No. 3 Zizhulin, Nanjing, Jiangsu, 210003, China.
Chengping MaDepartment of Blood Screening Laboratory, Nanjing Red Cross Blood Center, No. 3 Zizhulin, Nanjing, Jiangsu, 210003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces a completely Random Quality Control (R-QC) method for Enzyme-Linked Immunosorbent Assay (ELISA) tests and compares it with traditional Fixed Quality Control (F-QC) methods across different testing items. A random quality control system was constructed using a Time-series model, enabling fully random positioning of quality control in ELISA tests. The Coefficient of Variation (CV) for R-QC were found to be lower as compared to F-QC in Hepatitis B surface antigen (HBsAg), anti-Human Immunodeficiency Virus (anti-HIV), and Treponema Pallidum (TP) items, and there were significant differences among them. Moreover, the alarm rates and out of control rates in the R-QC groups were notably lower than those in the F-QC groups. The experimentally designed R-QC method demonstrates superior stability, reducing alarm and out of control rates, with has significant implications for improving ELISA testing at the Nanjing Blood Center.

Indexed as

Blood donationELISAMathematical modelRandom quality controlTime-variable

Identifiers

PMID39605820
PMCPMC11600053

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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.