Evidence map›Paper›PMID 40970183›Full record

ArticleFrontiers in molecular biosciences2025

Establishment and application of a preset dilution factor strategy for human chorionic gonadotropin testing in clinical laboratory.

Shu Chen, Qin Li, Huaqiang Liao, Mingcai Zhao, Jie Chen, Hongyu Chen, Guangjun Xiao

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

7 authors.

Shu ChenDepartment of Laboratory Medicine, Suining Central Hospital, Suining, China.
Qin LiDepartment of Laboratory Medicine, Suining Central Hospital, Suining, China.
Huaqiang LiaoDepartment of Laboratory Medicine, Suining Central Hospital, Suining, China.
Mingcai ZhaoDepartment of Laboratory Medicine, Suining Central Hospital, Suining, China.
Jie ChenDepartment of Laboratory Medicine, Suining Central Hospital, Suining, China.
Hongyu ChenDepartment of Laboratory Medicine, Suining Central Hospital, Suining, China.
Guangjun XiaoDepartment of Laboratory Medicine, Suining Central Hospital, Suining, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Automated dilution has improved the efficiency of human chorionic gonadotropin (hCG) testing, however, challenges persist regarding the cost implications of repeated testing. This study proposes the concept of cost-effective optimization, which aims to further optimize testing efficiency while maintaining controllable costs, and establishes an automated process with preset dilution factors for the hCG testing. Materials and methods: The hCG testing process at Suining Central Hospital was optimized using the Aptio™ Automation Solution (Siemens Healthineers, Erlangen, Germany) integrated with Siemens Atellica® IM1600 analyzer. A novel middleware program was developed within the DataLink V2.0 (Siemens Healthineers, Erlangen, Germany) to automate dilution factor assignment. Relevant data such as dilution factors, sample reception time and review time were captured for statistical purposes to analyze the accuracy, ability to shorten TAT, and economic benefits of hCG testing. Results: After 8 months of continuous improvement, implementation of automated hCG dilution attained 91.19% compliance rate with 19.7% reduction in in-laboratory TAT. The process achieved 75.60% compliance against the 90 min benchmark, while the preset dilution process generated 15.03% mean cost savings per test. Conclusion: In this study, a preset dilution factor program was utilized to establish an automated dilution process, achieving accurate and rapid prediction of hCG. These strategies not only improve efficiency, but also effectively reduce costs, enabling the expansion of testing items and facilitating the implementation in laboratories. Furthermore, they also help to shorten the in-hospital TAT for patients, and improve the hospital's service quality.

Indexed as

automatic dilutioncost-effective optimizationhuman chorionic gonadotropinpreset dilution factorturn-around time

Identifiers

PMID40970183
PMCPMC12440790

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