Evidence map›Paper›PMID 36227296›Full record

ArticleAnalytical and bioanalytical chemistry2022

Blood serum lipid profiling may improve the management of recurrent miscarriage: a combination of machine learning of mid-infrared spectra and biochemical assays.

Zozan Guleken, Pınar Yalçın Bahat, Ömer Faruk Toto, Huri Bulut, Paweł Jakubczyk, Jozef Cebulski, Wiesław Paja, Krzysztof Pancerz, Agnieszka Wosiak, Joanna Depciuch

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Article in Analytical and bioanalytical chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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4 · The record

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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

10 authors.

Zozan GulekenDepartment of Physiology, Uskudar University Faculty of Medicine, Istanbul, Turkey. zozanguleken@gmail.com.ORCID http://orcid.org/0000-0002-4136-4447
Pınar Yalçın BahatDepartment of Obstetrics and Gynecology, Health Science University Istanbul Kanuni Sultan Suleyman Research Medical Center, Istanbul, Turkey.
Ömer Faruk TotoDepartment of Obstetrics and Gynecology, Health Science University Istanbul Kanuni Sultan Suleyman Research Medical Center, Istanbul, Turkey.
Huri BulutDepartment of Biochemistry, İstinye University Faculty of Medicine, Istanbul, Turkey.
Paweł JakubczykInstitute of Physics, University of Rzeszów, Rzeszów, Poland.
Jozef CebulskiInstitute of Physics, University of Rzeszów, Rzeszów, Poland.
Wiesław PajaInstitute of Computer Science, University of Rzeszow, Rzeszów, Poland.
Krzysztof PancerzInstitute of Philosophy, John Paul II Catholic University of Lublin, Lublin, Poland.
Agnieszka WosiakInstitute of Information Technology, Lodz University of Technology, Łódź, Poland.
Joanna DepciuchInstitute of Nuclear Physics Polish Academy of Science, 31-342, Krakow, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present article is focused on developing and validating an efficient, credible, minimally invasive technique based on spectral signatures of blood samples of women with recurrent miscarriage vs. those of healthy individuals who were followed in the Department of Obstetrics and Gynecology for 2 years. For this purpose, blood samples from a total of 120 participants, including healthy women (n=60) and women with diagnosed recurrent miscarriage (n=60), were obtained. The lipid profile (high-density lipoprotein, low-density lipoprotein, triglyceride, and total cholesterol levels) and lipid peroxidation (malondialdehyde and glutathione levels) were evaluated with a Beckman Coulter analyzer system for chemical analysis. Biomolecular structure and composition were determined using an attenuated total reflectance sampling methodology with Fourier transform infrared spectroscopy alongside machine learning technology to advance toward clinical translation. Here, we developed and validated instrumentation for the analysis of recurrent miscarriage patient serum that was able to differentiate recurrent miscarriage and control patients with an accuracy of 100% using a Fourier transform infrared region corresponding to lipids. We found that predictors of lipid profile abnormalities in maternal serum could significantly improve this patient pathway. The study also presents preliminary results from the first prospective clinical validation study of its kind.

Indexed as

Abortion, HabitualSerumFemaleHumansMachine LearningPregnancyProspective StudiesSpectroscopy, Fourier Transform InfraredTriglyceridesTriglyceridesFourier transform infraredLipid profileMachine learningOxidative loadRecurrent miscarriageTotal protein

Identifiers

What Socratic 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 Socratic graph.