ArticleBiomolecular detection and quantification2018
Improving the standardization of mRNA measurement by RT-qPCR.
Article in Biomolecular detection and quantification, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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
13 citing papers in PubMed.
- RNA biomarkers in spinal muscular atrophy: enhancing pathogenesis understanding and guiding precision medicine.Cellular and molecular life sciences : CMLS · 2026Review
- Challenges and Solutions in pgRNA Measurement: Toward Improved Monitoring of Hepatitis B Therapy.Pathogens (Basel, Switzerland) · 2026Review
- Exploring transcriptomic databases to identify and experimentally validate tissue-specific consensus reference gene for gene expression normalization in BALB/c mice acutely exposed to 2,3,7,8-Tetrachlorodibenzo-Current research in toxicology · 2025Article
- Epigenetic Biomarkers in Thrombophilia-Related Pregnancy Complications: Mechanisms, Diagnostic Potential, and Therapeutic Implications: A Narrative Review.International journal of molecular sciences · 2024Review
- A Strategy for the Selection of RT-qPCR Reference Genes Based on Publicly Available Transcriptomic Datasets.Biomedicines · 2023Article
- RT-qPCR Diagnostics: The "Drosten" SARS-CoV-2 Assay Paradigm.International journal of molecular sciences · 2021Article
- An optimized protocol for stepwise optimization of real-time RT-PCR analysis.Horticulture research · 2021Article
- Optimizations for identifying reference genes in bone and cartilage bioengineering.BMC biotechnology · 2021Article
- COVID-19 and Diagnostic Testing for SARS-CoV-2 by RT-qPCR-Facts and Fallacies.International journal of molecular sciences · 2021Article
- Article
- RT-qPCR Testing of SARS-CoV-2: A Primer.International journal of molecular sciences · 2020Article
- miRNAs in the Diagnosis and Prognosis of Skin Cancer.Frontiers in cell and developmental biology · 2020Review
- Engineering of a thermostable viral polymerase using metagenome-derived diversity for highly sensitive and specific RT-PCR.Nucleic acids research · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human health and safety depend on reliable measurements in medical diagnosis and on tests that support the selection and evaluation of therapeutic intervention and newly discovered molecular biomarkers must pass a rigorous evaluation process if they are to be of benefit to patients. Measurement standardization helps to maximize data quality and confidence and ultimately improves the reproducibility of published research. Failure to consider how a given experiment may be standardized can be costly, both financially as well as in time and failure to perform and report pre-clinical research in an appropriately rigorous manner will hinder the development of diagnostic methods. Hence standardization is a crucial step in maintaining the integrity of scientific studies and is a key feature of robust investigation.
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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.