ReviewExpert review of molecular diagnostics2016
Sample-to-result molecular infectious disease assays: clinical implications, limitations and potential.
Review in Expert review of molecular diagnostics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Evaluation of the STANDARD M10 Flu/RSV/SARS-CoV-2 Fast assay for the detection of influenza A/B viruses, respiratory syncytial virus, and SARS-CoV-2 in nasopharyngeal swab specimens.Microbiology spectrum · 2026Article
- Development and validation of a sample-to-result real time multiplex RT-PCR test for human African trypanosomiasis and arboviral febrile illnesses in the Democratic Republic of the Congo.BMC infectious diseases · 2026Observational
- Outpatient antibiotic stewardship during the COVID-19 era: analysis of prescribing trends and guideline compliance.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2025Article
- Diagnostic Accuracy of Five Molecular Assays for the Detection of Dengue Virus.Medicina (Kaunas, Lithuania) · 2024Article
- Taking a step back from testing: Preanalytical considerations in molecular infectious disease diagnostics.Clinical biochemistry · 2023Review
- Mechanisms, Techniques and Devices of Airborne Virus Detection: A Review.International journal of environmental research and public health · 2023Review
- Molecular Detection of Neglected Tropical Diseases: The Case for Automated Near-Point-of-Care Diagnosis of Leishmaniasis.The American journal of tropical medicine and hygiene · 2023Article
- A Regional Pooling Intervention in a High-Throughput COVID-19 Diagnostic Laboratory to Enhance Throughput, Save Resources and Time Over a Period of 6 Months.Frontiers in microbiology · 2022Article
- Current and Future Trends in the Laboratory Diagnosis of Sexually Transmitted Infections.International journal of environmental research and public health · 2021Review
- Migrating a lab-developed MERS-CoV real-time PCR to 3 "Sample to Result" systems: experiences on optimization and validation.Diagnostic microbiology and infectious disease · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular infectious disease diagnostic tests have undergone major advances in the past decade and will continue to rapidly evolve. Assays have become extraordinarily simple to perform, eliminating the need for pre-analytic sample preparation and post-amplification analysis. This allows these tests to be performed in settings without sophisticated expertise in molecular biology, including locations with limited resources. Additionally, the sensitivity and specificity of these assays is superb and many offer extremely fast turn-around times. These tests have major impacts on patient care, but also have some limitations.
Indexed as
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.