Evidence map›Paper›PMID 39030224›Full record

ArticleScientific reports2024

A modified quality control protocol for infectious disease serology based on the Westgard rules.

Yuanfang Wang, Xiaohan Li, Dongdong Li, Yi Xie

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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.

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuanfang WangDivision of Clinical Microbiology, Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Xiaohan LiDivision of Clinical Microbiology, Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.
Dongdong LiDivision of Clinical Microbiology, Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China. jiangxili1219@163.com.
Yi XieDivision of Clinical Microbiology, Department of Laboratory Medicine, West China Hospital of Sichuan University, Chengdu, 610041, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When traditional statistical quality control protocols, represented by the Westgard protocol were applied to infectious disease serology, the rejection limits were questioned because of the high rejection probability. We first define the probability of false rejection (Pfr) and error detection (Ped) for infectious disease serology. QC data in 6 months were collected and the Pfr of each rule in the Westgard protocol and Rilibak protocol was evaluated. Then, as improvements, we chose different rules for negative and positive QC data to constitute an asymmetric protocol, furthermore, while reagent lot changes, the mean value of QC protocol is reset with the first 15 QC results of new lot reagent. QC materials and Standard Reference Materials were tested synchronously in the next 6 months, to verify whether the Pfr and Ped of the asymmetric protocol could meet the requirement. Protocol 1 exhibited the higher level of rejection rate among the two protocols, especially after reagent lot changes; Pfr below the lower control limit (LCL) was 1.39-21.78 times higher than the upper control limit (UCL); false rejections were more likely to occur in negative QC data, with Pfr-total of 27-65%. The asymmetric protocol can significantly reduce the proportion of analytes with Pfr by over 20%. Systematic error due to reagent lot changes and random error due to routine QC data variation were considered potential factors for excessive Pfr. Asymmetric QC protocol that can reduce Pfr by different control limits for negative and positive QC data.

Indexed as

Communicable DiseasesQuality ControlHumansSerologic TestsAsymmetric protocolControl limitsInfectious disease serologyStatistical quality controlWestgard rules

Identifiers

PMID39030224
PMCPMC11271505

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