ArticleScientific reports2022
Lab-on-chip assay of tumour markers and human papilloma virus for cervical cancer detection at the point-of-care.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 26 citations in OpenAlex.
- Biology-aligned cervical cancer screening: target-centric biomarkers and next-generation diagnostic platforms.Biomarker research · 2026Review
- Advances in Cervical Cancer Diagnostics Based on Immunosensors: Innovative Approaches and Tumor Biomarkers.Current topics in medicinal chemistry · 2026Review
- Molecular diagnostics for cutaneous leishmaniasis: progress towards fulfilling the WHO target product profile.Parasitology · 2025Review
- Cancer and Aging Biomarkers: Classification, Early Detection Technologies and Emerging Research Trends.Biosensors · 2025Review
- Breaking barriers in cancer diagnosis: unveiling the 4Ms of biosensors.RSC advances · 2025Review
- Advances in human papillomavirus detection for cervical cancer screening and diagnosis: challenges of conventional methods and opportunities for emergent tools.Analytical methods : advancing methods and applications · 2025Review
- Isothermal Technologies for HPV Detection: Current Trends and Future Perspectives.Pathogens (Basel, Switzerland) · 2024Review
- The Future of Cervical Cancer Screening.International journal of women's health · 2024Review
- The Evolution of Affordable Technologies in Liquid Biopsy Diagnostics: The Key to Clinical Implementation.Cancers · 2023Review
- Controlled Transport of Magnetic Particles and Cells Using C-Shaped Magnetic Thin Films in Microfluidic Chips.Micromachines · 2022Article
- A loop-mediated isothermal amplification-enabled analytical assay for the detection of SARS-CoV-2: A review.Frontiers in cellular and infection microbiology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
Cervical cancer affects over half a million people worldwide each year, the majority of whom are in resource-limited settings where cytology screening is not available. As persistent human papilloma virus (HPV) infections are a key causative factor, detection of HPV strains now complements cytology where screening services exist. This work demonstrates the efficacy of a handheld Lab-on-Chip (LoC) device, with an external sample extraction process, in detecting cervical cancer from biopsy samples. The device is based on Ion-Sensitive Field-Effect Transistor (ISFET) sensors used in combination with loop-mediated isothermal amplification (LAMP) assays, to amplify HPV DNA and human telomerase reverse transcriptase (hTERT) mRNA. These markers were selected because of their high levels of expression in cervical cancer cells, but low to nil expression in normal cervical tissue. The achieved analytical sensitivity for the molecular targets resolved down to a single copy per reaction for the mRNA markers, achieving a limit of detection of 10
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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 Socratic graph.