Evidence map›Paper›PMID 41258444›Full record

ArticleCommunications medicine2025

Clinical validation of noninvasive blood glucose measurements by midinfrared spectroscopy.

Michael Kaluza, Sergius Janik, Thorsten Lubinski, Mattia Saita, Peter Lachmann, Luca Canini, Valentino Lepro, Werner Mäntele

Registry-linked trialAbstract read
In one paragraph

Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06088615 (Feasibility of Non-invasive Glucose Monitoring by Using Photothermal Deflectometry), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT06088615 completednot on this map

Feasibility of Non-invasive Glucose Monitoring by Using Photothermal Deflectometry

TypeobservationalSponsorDiamontech AGRan2023 to 2024Enrolled36ConditionsDiabetes Mellitus Type 2, Diabetes Mellitus Type 1, Healthy
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

8 authors.

Michael KaluzaDiaMonTech AG, Berlin, Germany.
Sergius JanikDiaMonTech AG, Berlin, Germany.
Thorsten LubinskiDiaMonTech AG, Berlin, Germany.
Mattia SaitaDiaMonTech AG, Berlin, Germany.ORCID http://orcid.org/0000-0003-0638-1644
Peter LachmannDiaMonTech AG, Berlin, Germany.ORCID http://orcid.org/0000-0003-2085-8189
Luca CaniniDiaMonTech AG, Berlin, Germany.
Valentino LeproDiaMonTech AG, Berlin, Germany.ORCID http://orcid.org/0000-0002-4717-7888
Werner MänteleDiaMonTech AG, Berlin, Germany. werner.maentele@diamontech.de.ORCID http://orcid.org/0000-0002-8964-1319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-invasive glucose monitoring (NIGM) is considered the holy grail of diabetes technology. Currently, diabetes is predominantly managed based on finger pricking and analysis of a drop of blood with test strips fitting into a glucometer. This invasive, painful and uncomfortable procedure is one of the reasons for insufficient diabetes management. Sensors for continuous glucose monitoring (CGM) in interstitial fluid (ISF) using a subcutaneous microscopic filament present a minimally invasive alternative. Worldwide, there is intense research and development for a true non-invasive glucose measurement.

methodsDiaMonTech has demonstrated a NIGM technology that targets glucose in ISF. An infrared beam from a quantum cascade laser excites glucose molecules at wavelengths between 8 and 12 µm, where glucose has specific fingerprint absorbance. Absorption results in a small amount of heat in the skin, which can be detected on the surface using a photothermal deflection technique. This procedure is painless, harmless, and does not require consumables.

resultsWe report here a single-center clinical test with 36 individuals (clinicaltrials.gov ID: NCT06088615). The accuracy of the NIGM device was evaluated in two subsequent sessions per individual, with different amounts of calibration data. Four different algorithms were tested for data analysis. The accuracy for the best algorithm, expressed as Mean Absolute Relative Difference was 20.7 % and 19.6 % for the two sessions.

conclusionsThis is equivalent to the performance of early CGM systems cleared by the FDA for adjunctive use by people with diabetes. It demonstrates that glucose can be reliably measured with this non-invasive technology and opens new perspectives for a better management of diabetes.

Identifiers

PMID41258444
PMCPMC12672743

What Socratic holds

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LicenceCC BY-NC-ND
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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.