Evidence map›Paper›PMID 39334955›Full record

ArticleBiomolecules2024

Identification of Exhaled Metabolites Correlated with Respiratory Function and Clinical Features in Adult Patients with Cystic Fibrosis by Real-Time Proton Mass Spectrometry.

Malika Mustafina, Artemiy Silantyev, Stanislav Krasovskiy, Alexander Chernyak, Zhanna Naumenko, Aleksandr Suvorov, Daria Gognieva, Magomed Abdullaev, Olga Suvorova, Anna Schmidt and 6 more

Abstract read
In one paragraph

Article in Biomolecules, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Observational
  5. Article
  6. 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

16 authors.

Malika MustafinaDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, 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), Moscow 119991, Russia.
Stanislav KrasovskiyPulmonology Research Institute under the Federal Medical and Biological Agency of Russia, Moscow 115682, Russia.
Alexander ChernyakPulmonology Research Institute under the Federal Medical and Biological Agency of Russia, Moscow 115682, Russia.ORCID 0000-0002-2001-5504
Zhanna NaumenkoPulmonology Research Institute under the Federal Medical and Biological Agency of Russia, Moscow 115682, Russia.
Aleksandr SuvorovWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.ORCID 0000-0002-2224-0019
Daria GognievaDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.
Magomed AbdullaevResearch Institute for Systemic Analysis of the Russian Academy of Sciences, Moscow 117218, Russia.
Olga SuvorovaPulmonology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.ORCID 0000-0001-9661-7213
Anna SchmidtPulmonology Department, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.ORCID 0000-0002-1314-0091
Aida GadzhiakhmedovaWorld-Class Research Center "Digital Biodesign and Personalized Healthcare", I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.
Aleksandra BykovaDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.ORCID 0000-0002-2035-2340
Sergey AvdeevPulmonology Research Institute under the Federal Medical and Biological Agency of Russia, Moscow 115682, Russia.ORCID 0000-0002-5999-2150
Vladimir BetelinResearch Institute for Systemic Analysis of the Russian Academy of Sciences, Moscow 117218, Russia.
Abram SyrkinDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.ORCID 0000-0002-6452-1222
Philipp KopylovDepartment of Cardiology, Functional and Ultrasound Diagnostics, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow 119991, Russia.

Funding

The 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» 075-15-2022-304The Russian Science Foundation grant «Development of methods for non-invasive diagnosis of chronic lung diseases using proton mass spectrometry of exhaled air and artificial intelligence methods» 24-15-00549
6 · The paper itself

Abstract

Cystic fibrosis (CF) is a hereditary disease characterized by the progression of respiratory disorders, especially in adult patients. The purpose of the study was to identify volatile organic compounds (VOCs) as predictors of respiratory dysfunction, chronic respiratory infections of

Indexed as

Breath TestsCystic FibrosisMass SpectrometryVolatile Organic CompoundsAdultBiomarkersExhalationFemaleHumansMaleMiddle AgedProtonsYoung AdultBiomarkersProtonsVolatile Organic Compoundscystic fibrosisexhaled biomarkersproton mass spectrometryrespiratory functionvolatile organic compounds

Identifiers

PMID39334955
PMCPMC11430581

What OpenQuestion holds

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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.