Evidence map›Paper›PMID 26842132›Full record

ArticleScientific reports2016

Introducing Discrete Frequency Infrared Technology for High-Throughput Biofluid Screening.

Caryn Hughes, Graeme Clemens, Benjamin Bird, Timothy Dawson, Katherine M Ashton, Michael D Jenkinson, Andrew Brodbelt, Miles Weida, Edeline Fotheringham, Matthew Barre and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Molecular Origin of Blood-Based Infrared Spectroscopic Fingerprints*.Angewandte Chemie (International ed. in English) · 2021
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Caryn HughesUniversity of Manchester, School of Chemical Engineering and Analytical Science, Manchester, M13 9PL, United Kingdom.
Graeme ClemensWestCHEM, Technology and Innovation Centre, 99 George St, Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow, G1 1RD, UK.
Benjamin BirdDaylight Solutions Inc., San Diego, CA 92128, USA.
Timothy DawsonLancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Department of Pathology, Preston, PR2 9HT, UK.
Katherine M AshtonLancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Department of Pathology, Preston, PR2 9HT, UK.
Michael D JenkinsonThe Walton Centre NHS Foundation Trust, The Walton Centre for Neurology and Neurosurgery, Liverpool, L9 7LJ, UK.
Andrew BrodbeltThe Walton Centre NHS Foundation Trust, The Walton Centre for Neurology and Neurosurgery, Liverpool, L9 7LJ, UK.
Miles WeidaDaylight Solutions Inc., San Diego, CA 92128, USA.
Edeline FotheringhamDaylight Solutions Inc., San Diego, CA 92128, USA.
Matthew BarreDaylight Solutions Inc., San Diego, CA 92128, USA.
Jeremy RowletteDaylight Solutions Inc., San Diego, CA 92128, USA.
Matthew J BakerWestCHEM, Technology and Innovation Centre, 99 George St, Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow, G1 1RD, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate early diagnosis is critical to patient survival, management and quality of life. Biofluids are key to early diagnosis due to their ease of collection and intimate involvement in human function. Large-scale mid-IR imaging of dried fluid deposits offers a high-throughput molecular analysis paradigm for the biomedical laboratory. The exciting advent of tuneable quantum cascade lasers allows for the collection of discrete frequency infrared data enabling clinically relevant timescales. By scanning targeted frequencies spectral quality, reproducibility and diagnostic potential can be maintained while significantly reducing acquisition time and processing requirements, sampling 16 serum spots with 0.6, 5.1 and 15% relative standard deviation (RSD) for 199, 14 and 9 discrete frequencies respectively. We use this reproducible methodology to show proof of concept rapid diagnostics; 40 unique dried liquid biopsies from brain, breast, lung and skin cancer patients were classified in 2.4 cumulative seconds against 10 non-cancer controls with accuracies of up to 90%.

Indexed as

AutomationBiopsyBody FluidsBrain NeoplasmsBreast NeoplasmsDried Blood Spot TestingFemaleHumansLasers, SemiconductorMicroscopy, ConfocalReproducibility of ResultsSkin NeoplasmsSpectrophotometry, Infrared

Identifiers

PMID26842132
PMCPMC4740754

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.