ReviewSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2025
[Preclinical Development Process and Prospects of Real-time Fluorescence Quantitative Polymerase Chain Reaction Detection Kits].
Review in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, real-time fluorescence quantitative polymerase chain reaction (qPCR) technology has become an essential tool for molecular diagnosis, pathogen detection, and gene expression analysis, thanks to its high sensitivity, speed, and real-time quantification capabilities. In 2022, the global market size of nucleic acid testing-related products and services, including instruments, reagents, consumables, and after-sales service support, reached 7.3 billion US dollars, with PCR-based technologies accounting for 66.7% of the market share and exhibiting a consistent growth trend. Although qPCR technology has been widely applied across multiple fields, the preclinical development of diagnostic kits-a process that includes primer design and reaction system optimization-still faces such issues as unclear procedures, non-standardized methods, and inconsistent evaluation criteria. Herein, we reviewed the guidelines, key resources, and standardized processes of qPCR assay reagent development, aiming to provide theoretical support for improving the efficiency and quality control of assay reagent development, and to discuss future directions for the optimizing and improving qPCR technology in the context of artificial intelligence.
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Registered trials
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.