Trial reportNature communications2019
Development of high-throughput ATR-FTIR technology for rapid triage of brain cancer.
Trial report in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 1 of them a synthesis that pooled it.
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
77 citing papers in PubMed, 1 synthesis or guideline pooled it, 190 citations in OpenAlex.
- Blood-Based FTIR Spectroscopy as a Minimally Invasive Diagnostic Method for Colorectal Cancer: A Meta-Analysis.Asian Pacific journal of cancer prevention : APJCP · 2024Pooled it
- Optimization of Microstructured Silicon Attenuated Total Reflectance Fourier Transform Infrared Elements.Analytical chemistry · 2026Article
- Objective diagnosis and treatment outcome prediction in major depressive disorder based on a machine learning framework with dried-serum NIRS digital biomarkers.BMC psychiatry · 2026Article
- A multi-centre performance evaluation of a commercially developed liquid biopsy for the earlier detection of brain tumours.ESMO open · 2026Observational
- Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025Review
- ATR-FTIR Spectroscopy of Saliva and Machine Learning as a Screening Test for Sjögren Disease.Analytical chemistry · 2025Article
- Mass-Manufactured Gradient Plasmonic Metasurfaces for Enhanced Mid-IR Spectrochemical Analysis of Complex Biofluids.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Atomically Dispersed Palladium Promoted Suzuki-Miyaura Cross Coupling.ChemSusChem · 2025Article
- A New Approach for Chagas Disease Screening Using Serum Infrared Spectroscopy and Machine Learning Algorithms.ACS infectious diseases · 2025Article
- Serum metabolomics identifies unique inflammatory signatures to distinguish rheumatoid arthritis responders and non-responders to TNF inhibitor therapy.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Toward Informative Representations of Blood-Based Infrared Spectra via Unsupervised Deep Learning.Journal of biophotonics · 2025Article
- Infrared spectral analysis of gastrointestinal neuroendocrine tumors reveals diagnostic biomarkers.Scientific reports · 2025Article
- Bridging Spectral Gaps: Cross-Device Model Generalization in Blood-Based Infrared Spectroscopy.Analytical chemistry · 2025Article
- Electric-Field Molecular Fingerprinting to Probe Cancer.ACS central science · 2025Article
- Metasurface-enhanced biomedical spectroscopy.Nanophotonics (Berlin, Germany) · 2025Review
- Safe-by-Design Strategies for Intranasal Drug Delivery Systems: Machine and Deep Learning Solutions to Differentiate Epithelial Tissues via Attenuated Total Reflection Fourier Transform Infrared Spectroscopy.ACS pharmacology & translational science · 2025Article
- Transparency and Representation in Clinical Research Utilizing Artificial Intelligence in Oncology: A Scoping Review.Cancer medicine · 2025Article
- Review
- Infrared spectroscopy as a new approach for early fabry disease screening: a pilot study.Orphanet journal of rare diseases · 2024Article
- Salivary Molecular Spectroscopy with Machine Learning Algorithms for a Diagnostic Triage for Amelogenesis Imperfecta.International journal of molecular sciences · 2024Article
17 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Non-specific symptoms, as well as the lack of a cost-effective test to triage patients in primary care, has resulted in increased time-to-diagnosis and a poor prognosis for brain cancer patients. A rapid, cost-effective, triage test could significantly improve this patient pathway. A blood test using attenuated total reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy for the detection of brain cancer, alongside machine learning technology, is advancing towards clinical translation. However, whilst the methodology is simple and does not require extensive sample preparation, the throughput of such an approach is limited. Here we describe the development of instrumentation for the analysis of serum that is able to differentiate cancer and control patients at a sensitivity and specificity of 93.2% and 92.8%. Furthermore, preliminary data from the first prospective clinical validation study of its kind are presented, demonstrating how this innovative technology can triage patients and allow rapid access to imaging.
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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.