Evidence map›Paper›PMID 38014482›Full record

ArticleAnnals of laboratory medicine2024

Evaluation of Coefficients of Variation for Clinical Chemistry Tests Based on Internal Quality Control Data Across 5,425 Laboratories in China From 2013 to 2022.

Wei Wang, Zhixin Zhang, Chuanbao Zhang, Haijian Zhao, Shuai Yuan, Jiali Liu, Na Dong, Zhiguo Wang, Fengfeng Kang

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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  5. Review
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

9 authors at 2 institutions in 1 country.

Wei WangNational Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, Beijing, China.ORCID https://orcid.org/0009-0004-5717-7701
Zhixin ZhangNational Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, Beijing, China.ORCID https://orcid.org/0009-0008-8675-9128
Chuanbao ZhangNational Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, Beijing, China.ORCID https://orcid.org/0000-0003-0754-7511
Haijian ZhaoNational Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, Beijing, China.ORCID https://orcid.org/0000-0002-7850-7827
Shuai YuanNational Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, Beijing, China.ORCID https://orcid.org/0000-0003-3008-9213
Jiali LiuNational Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, Beijing, China.ORCID https://orcid.org/0009-0009-5919-3891
Na DongNational Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, Beijing, China.ORCID https://orcid.org/0009-0001-7590-7999
Zhiguo WangNational Center for Clinical Laboratories, Beijing Engineering Research Center of Laboratory Medicine, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital, National Center of Gerontology, Beijing, China.ORCID https://orcid.org/0009-0005-7139-9893
Fengfeng KangLaboratory Medicine Center, Zhejiang Center for Clinical Laboratory, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, China.ORCID https://orcid.org/0000-0002-1991-4801
Chinese Academy of Medical Sciences & Peking Union Medical College · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Clinical chemistry tests are most widely used in clinical laboratories, and diverse measurement systems for these analyses are available in China. We evaluated the imprecision of clinical chemistry measurement systems based on internal QC (IQC) data. Methods: IQC data for 27 general chemistry analytes were collected in February each year from 2013 to 2022. Four performance specifications were used to calculate pass rates for CVs of IQC data in 2022. Boxplots were drawn to analyze trends of CVs, and differences in CVs among different groups were assessed using the Mann-Whitney U-test or Kruskal-Wallis test. Results: The number of participating laboratories increased significantly from 1,777 in 2013 to 5,425 in 2022. CVs significantly decreased for all 27 analytes, except creatine kinase and lipase. Triglycerides, total bilirubin, direct bilirubin, iron, and γ-glutamyl transferase achieved pass rates >80% for all goals. Nine analytes with pass rates <80% based on 1/3 allowable total error were further analyzed; the results indicated that closed systems exhibited lower CVs than open systems for all analytes, except total protein. For all nine analytes, differences were significant between tertiary hospitals and non-tertiary hospitals and between accredited and non-accredited laboratories. Conclusions: The CVs of IQC data for clinical chemistry have seen a continuous overall improvement in China. However, there is ample room for imprecision improvement for several analytes, with stricter performance specifications.

Indexed as

Clinical Laboratory ServicesLaboratoriesBilirubinChemistry, ClinicalChinaClinical Chemistry TestsHumansQuality ControlBilirubinClinical chemistryImprecisionPerformance specificationQuality control

Identifiers

PMID38014482
PMCPMC10813826
OpenAlexW4389091340

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.