Evidence map›Paper›PMID 25037192›Full record

ArticleJournal of diabetes science and technology2014

Raman spectroscopy as a promising tool for noninvasive point-of-care glucose monitoring.

Maarten J Scholtes-Timmerman, Sabina Bijlsma, Marion J Fokkert, Robbert Slingerland, Sjaak J F van Veen

Open access · bronzeAbstract read
In one paragraph

Article in Journal of diabetes science and technology, 2014. 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
2.1field-weighted citation impact, top 11% of its field
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, 47 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Sugar Molecules Detection via CNanomaterials (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  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

5 authors at 1 institution in 1 country.

Maarten J Scholtes-TimmermanTNO ELSS, Zeist, The Netherlands maarten.scholtes@tno.nl.
Sabina BijlsmaTNO ELSS, Zeist, The Netherlands.
Marion J FokkertIsala Clinics, Department of Clinical Chemistry, Zwolle, The Netherlands.
Robbert SlingerlandIsala Clinics, Department of Clinical Chemistry, Zwolle, The Netherlands.
Sjaak J F van VeenTNO ELSS, Zeist, The Netherlands.
Isala · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-monitoring of glucose is important for managing diabetes. Noninvasive glucose monitors are not yet available, but patients would benefit highly from such a device. We present results that may lead to a novel, point-of-care noninvasive system to measure blood glucose based on Raman spectroscopy. A hospitalized cohort of 111 subjects was measured using a custom-made Raman spectrometer system. Blood glucose reference samples were used to correlate Raman data to glucose levels, using advanced preprocessing and analysis algorithms. A correlation coefficient (R (2)) of .83 was found correlating independent Raman-based predictions on reference blood glucose for the full cohort. Stratification of the cohort in gender-specific groups raised correlation levels to .88 (females) and .94 (males). Glucose could be measured noninvasively with average errors as low as 0.9 mM. We conclude that this novel system shows promising results for the advance of noninvasive, point-of-care glucose monitoring.

Indexed as

Point-of-Care SystemsAdultAgedAged, 80 and overBlood GlucoseBlood Glucose Self-MonitoringFemaleHumansMaleMiddle AgedMonitoring, PhysiologicSpectrum Analysis, RamanBlood Glucoseblood glucosenoninvasivepoint of careRaman spectroscopyself-monitoring of blood glucose

Identifiers

PMID25037192
PMCPMC4455378
OpenAlexW2167876714

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.