ArticleJournal of oncology2012
Towards a "Sample-In, Answer-Out" Point-of-Care Platform for Nucleic Acid Extraction and Amplification: Using an HPV E6/E7 mRNA Model System.
Article in Journal of oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 30 citations in OpenAlex.
- Chemical Trends in Sample Preparation for Nucleic Acid Amplification Testing (NAAT): A Review.Biosensors · 2023Review
- Recent advances and challenges of biosensing in point-of-care molecular diagnosis.Sensors and actuators. B, Chemical · 2021Review
- A New Direction in Microfluidics: Printed Porous Materials.Micromachines · 2021Article
- Advances in point-of-care nucleic acid extraction technologies for rapid diagnosis of human and plant diseases.Biosensors & bioelectronics · 2020Review
- The potential of RNA as a target for national screening of pre-cancer.Journal of public health in Africa · 2018Article
- Human papillomavirus molecular biology and disease association.Reviews in medical virology · 2015Review
- Molecular oncology testing in resource-limited settings.The Journal of molecular diagnostics : JMD · 2014Review
- Molecular isothermal techniques for combating infectious diseases: towards low-cost point-of-care diagnostics.Expert review of molecular diagnostics · 2014Review
- Isothermal amplification methods for the detection of nucleic acids in microfluidic devices.Biosensors · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors at 10 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The paper presents the development of a "proof-of-principle" hands-free and self-contained diagnostic platform for detection of human papillomavirus (HPV) E6/E7 mRNA in clinical specimens. The automated platform performs chip-based sample preconcentration, nucleic acid extraction, amplification, and real-time fluorescent detection with minimal user interfacing. It consists of two modular prototypes, one for sample preparation and one for amplification and detection; however, a common interface is available to facilitate later integration into one single module. Nucleic acid extracts (n = 28) from cervical cytology specimens extracted on the sample preparation chip were tested using the PreTect HPV-Proofer and achieved an overall detection rate for HPV across all dilutions of 50%-85.7%. A subset of 6 clinical samples extracted on the sample preparation chip module was chosen for complete validation on the NASBA chip module. For 4 of the samples, a 100% amplification for HPV 16 or 33 was obtained at the 1 : 10 dilution for microfluidic channels that filled correctly. The modules of a "sample-in, answer-out" diagnostic platform have been demonstrated from clinical sample input through sample preparation, amplification and final detection.
Identifiers
What OpenQuestion holds
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.