Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
19 authors.
Malika MustafinaDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0002-0250-9949
Artemiy SilantyevWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Marina MakarovaPulmonology Research Institute under the Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.ORCID 0000-0003-4913-087X
Aleksandr SuvorovWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0002-2224-0019
Alexander ChernyakPulmonology Research Institute under the Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.ORCID 0000-0002-2001-5504
Zhanna NaumenkoPulmonology Research Institute under the Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.
Pavel PakhomovNational Medical Research Center of Otorhinolaryngology, Federal Medical and Biological Agency of Russia, 123182 Moscow, Russia.ORCID 0000-0002-7608-9334
Ekaterina PershinaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0002-3952-6865
Olga SuvorovaPulmonology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0001-9661-7213
Anna ShmidtPulmonology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0002-1314-0091
Anastasia GordeevaPulmonology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0003-4781-4645
Maria VergunWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Olesya BahankovaDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0009-0003-3259-6531
Daria GognievaDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Aleksandra BykovaDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0002-2035-2340
Andrey BelevskiyN.I. Pirogov Russian National Research Medical University, 1 Ostrovityanova str., Bldg. 6, 117513 Moscow, Russia.
Sergey AvdeevPulmonology Research Institute under the Federal Medical and Biological Agency of Russia, 115682 Moscow, Russia.
Vladimir BetelinResearch Institute for Systemic Analysis of the Russian Academy of Sciences, 117218 Moscow, Russia.
Philipp KopylovDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Funding
Russian Science Foundation 24-15-00549the government assignment "Application of mass spectrometry and exhaled air emission spectrometry for cardiovascular risk stratification" 1023022600020-6the Ministry of Science and Higher Education of the Russian Federation within the framework of state support for the creation and development of World-Class Research Centers "Digital biodesign and personalized healthcare" 075-15-2022-304
6 · The paper itself
Abstract
Lymphangioleiomyomatosis (LAM) is a rare progressive disease that affects women of reproductive age and is characterized by cystic lung destruction, airflow obstruction, and lymphatic dysfunction. Current diagnostic methods are costly or lack sufficient specificity, highlighting the need for novel non-invasive approaches. Exhaled breath analysis using real-time proton mass spectrometry (PTR-MS) presents a promising strategy for identifying disease-specific volatile organic compounds (VOCs). This cross-sectional study analyzed exhaled breath samples from 51 LAM patients and 51 age- and sex-matched healthy controls. PTR-time-of-flight mass spectrometry (PTR-TOF-MS) was employed to identify VOC signatures associated with LAM. Data preprocessing, feature selection, and statistical analyses were performed using machine learning models, including gradient boosting classifiers (XGBoost), to identify predictive biomarkers of LAM and its complications. We identified several VOCs as potential biomarkers of LAM, including
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.
Exhaled Breath Analysis in Lymphangioleiomyomatosis by Real-Time Proton Mass Spectrometry. · full record | OpenQuestion