Evidence map›Paper›PMID 37740835›Full record

ArticleEndocrine2023

Incoherent optical fluctuation flowmetry for detecting limbs with hemodynamically significant stenoses in patients with type 2 diabetes.

Polina Glazkova, Alexey Glazkov, Dmitry Kulikov, Denis Lapitan, Sergei Zagarov, Roman Larkov, Alina Babenko, Yulia Kononova, Yulia Kovaleva, Elena Kitaeva and 3 more

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Article in Endocrine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 3 institutions in 2 countries.

Polina GlazkovaMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia. polinikul@mail.ru.ORCID 0000-0002-8830-7503
Alexey GlazkovMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia.
Dmitry KulikovMedical Faculty, State University of Education, Mytishchi, Russia.
Denis LapitanMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia.
Sergei ZagarovMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia.
Roman LarkovMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia.
Alina BabenkoAlmazov National Medical Research Centre, St. Petersburg, Russia.
Yulia KononovaAlmazov National Medical Research Centre, St. Petersburg, Russia.
Yulia KovalevaMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia.
Elena KitaevaAlmazov National Medical Research Centre, St. Petersburg, Russia.
Natalia MazurMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia.
Timur BritvinMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia.
Dmitry RogatkinMoscow Regional Research and Clinical Institute ("MONIKI"), Moscow, Russia.
Moscow Regional Scientific Research Clinical Institute. MF Vladimirsky · RUFederal Almazov North-West Medical Research Centre · RUNational Research Institute of Public Health named after N.A. Semashko · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe development of new highly accurate, inexpensive and accessible methods for the detection of lower-extremity peripheral artery disease (LE-PAD) in diabetic patients is required. The aim of this study was to evaluate the accuracy of a new incoherent optical fluctuation flowmetry (IOFF) method in detecting legs with hemodynamically significant stenoses compared to ankle brachial index (ABI) and transcutaneous oximetry (TcPO2) in patients with diabetes mellitus (DM). MATERIALS AND

methodsPatients were recruited into 2 groups. Group 1 included patients with DM without LE-PAD and/or diabetic foot syndrome; Group 2 included patients with DM and LE-PAD. All patients underwent the following measurements: ultrasound (reference method), ABI, TcPO2, and the new IOFF method.

resultsThe new IOFF method showed a sensitivity of 79.5% and a specificity of 89.8% in detecting limbs with hemodynamically significant stenosis (AUC 0.890, CI 0.822-0.957). TcpO2 allows the diagnosis of LE-PAD with 69.2% sensitivity and 86.2% specificity (AUC 0.817, CI 0.723-0.911). Using a standard ABI cut-off of less than 0.9, the sensitivity and specificity for this parameter were 34.5% and 89.7%, respectively. Increasing the diagnostic cut-off of the ABI on the study group to 0.99 improved sensitivity to 84.6% and specificity to 78% (AUC,0.824 CI 0.732-0.915).

conclusionsThe new IOFF technique has demonstrated high sensitivity and specificity in the detection of LE-PAD in patients with DM. The high accuracy, rapid measurement, and potential availability suggest that the new IOFF method has a high potential for clinical application in the detection of PAD.

Indexed as

Diabetes Mellitus, Type 2Peripheral Arterial DiseaseAnkle Brachial IndexConstriction, PathologicHumansLower ExtremityRheologyAnkle brachial indexIncoherent optical fluctuation flowmetryPeripheral artery diseaseTranscutaneous oximetry

Identifiers

PMID37740835
OpenAlexW4386988972

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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.