Evidence map›Paper›PMID 38268603›Full record

ArticleHeliyon2024

Ensure the accuracy and consistency of biochemical analyzer test results: Chemometrics for instrument and inter-instrument item comparison in Chinese hospital laboratory.

Xue-Dong Song, Shou-Xia Li, Zhi-Mei Qin, Ding-Li Chen, Li-Li Guo, Cai-Ru Liu, Xiao Yang, Ke-Nan Peng, Er-Hei Dai

Open access · goldAbstract read
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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

9 authors at 1 institution in 1 country.

Xue-Dong SongDepartment of Laboratory Medicine, Handan Central Hospital, Hebei Medical University, Handan, Hebei, 056001, China.
Shou-Xia LiDepartment of Laboratory Medicine, Handan Central Hospital, Hebei Medical University, Handan, Hebei, 056001, China.
Zhi-Mei QinDepartment of Laboratory Medicine, Handan Central Hospital, Hebei Medical University, Handan, Hebei, 056001, China.
Ding-Li ChenDepartment of Laboratory Medicine, Handan Central Hospital, Hebei Medical University, Handan, Hebei, 056001, China.
Li-Li GuoDepartment of Laboratory Medicine, Handan Central Hospital, Hebei Medical University, Handan, Hebei, 056001, China.
Cai-Ru LiuDepartment of Laboratory Medicine, Handan Central Hospital, Hebei Medical University, Handan, Hebei, 056001, China.
Xiao YangDepartment of Laboratory Medicine, Handan Central Hospital, Hebei Medical University, Handan, Hebei, 056001, China.
Ke-Nan PengDepartment of Laboratory Medicine, Hebei General Hospital, Hebei Medical University, Shijiazhuang, Hebei, 050051, China.
Er-Hei DaiDepartment of Laboratory Medicine, The Fifth Hospital of Shijiazhuang, Hebei Medical University, Shijiazhuang, Hebei, 050024, China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biochemical analyzers are vital instruments that utilize the principle of photoelectric colorimetry to quantify a specific chemical composition in body fluids. This analysis provides critical data for the diagnosis, treatment, prognosis, and overall health status of various diseases in clinical practice. However, the performance of a biochemical analyzer can vary significantly between different brands or over time within the same brand. Therefore, it is imperative to regularly assess the performance of the analyzer to ensure consistent results for longitudinal studies and to maintain day-to-day data consistency. Additionally, when multiple analyzers are utilized, it is necessary to evaluate the performance of each instrument to ensure accurate results across multiple platforms. In this study, we developed and verified an experimental evaluation scheme for the analytical performance of the instrument, chemometrics for biochemical analyzers, utilizing national reference materials and patient sera as the experimental subjects. We evaluated the performance of the optical system, temperature control system, sample-adding system, and detection system to confirm the feasibility of this scheme. We also compared the analytical performance of different brands of biochemical analyzers for routine biochemical tests, such as liver function, kidney function, ion, blood lipids, blood glucose, and myocardial enzyme spectrum. Using the AU 5400 as a control and the ADVIA 2400 as the comparison system, the relative variation in inter-instrument comparison data was found to be acceptable at the clinical medicine decision level. In conclusion, the performance of a biochemical analyzer can vary significantly between different brands or over time within the same brand. Regular evaluations are necessary to ensure accurate and consistent results across different analyzers. This study provides a feasible scheme for evaluating the analytical performance of biochemical analyzers that can be used to ensure the accuracy and consistency of the results of different brands of automatic chemical analyzers in the laboratory.

Indexed as

Analytical performanceChemometricsClinical medicine decision levelInter-instrument item comparisonLaboratory quality managementSystematic evaluation

Identifiers

PMID38268603
PMCPMC10806288
OpenAlexW4390640894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.