Evidence map›Paper›PMID 37239108›Full record

ArticleBiomedicines2023

Lymphocyte Subsets and Pulmonary Nodules to Predict the Progression of Sarcoidosis.

Edvardas Danila, Regina Aleksonienė, Justinas Besusparis, Vygantas Gruslys, Laimutė Jurgauskienė, Aida Laurinavičienė, Arvydas Laurinavičius, Antanas Mainelis, Rolandas Zablockis, Ingrida Zeleckienė and 2 more

Open access · goldAbstract read
In one paragraph

Article in Biomedicines, 2023. 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, top 90% 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

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. 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

12 authors at 1 institution in 1 country.

Edvardas DanilaClinic of Chest Diseases, Immunology and Allergology, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Regina AleksonienėCenter of Pulmonology and Allergology, Vilnius University Hospital Santaros Klinikos, 08661 Vilnius, Lithuania.
Justinas BesusparisNational Center of Pathology, Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania.
Vygantas GruslysClinic of Chest Diseases, Immunology and Allergology, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Laimutė JurgauskienėClinic of Cardiac and Vascular Diseases, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Aida LaurinavičienėNational Center of Pathology, Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania.
Arvydas LaurinavičiusNational Center of Pathology, Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania.
Antanas MainelisFaculty of Mathematics and Informatics, Vilnius University, 03225 Vilnius, Lithuania.
Rolandas ZablockisClinic of Chest Diseases, Immunology and Allergology, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Ingrida ZeleckienėCenter of Radiology and Nuclear Medicine, Vilnius University Hospital Santaros Klinikos, 08661 Vilnius, Lithuania.
Edvardas ŽurauskasNational Center of Pathology, Vilnius University Hospital Santaros Klinikos, 08406 Vilnius, Lithuania.
Radvilė MalickaitėClinic of Cardiac and Vascular Diseases, Faculty of Medicine, Vilnius University, 03101 Vilnius, Lithuania.
Vilnius University · LT

Funding

European Union No VP1-3.1-ŠMM-01-V-03-002
6 · The paper itself

Abstract

The search for biological markers, which allow a relatively accurate assessment of the individual course of pulmonary sarcoidosis at the time of diagnosis, remains one of the research priorities in this field of pulmonary medicine. The aim of our study was to investigate possible prognostic factors for pulmonary sarcoidosis with a special focus on cellular immune inflammation markers. A 2-year follow-up of the study population after the initial prospective and simultaneous analysis of lymphocyte activation markers expression in the blood, as well as bronchoalveolar lavage fluid (BALF) and lung biopsy tissue of patients with newly diagnosed pulmonary sarcoidosis, was performed. We found that some blood and BAL fluid immunological markers and lung computed tomography (CT) patterns have been associated with a different course of sarcoidosis. We revealed five markers that had a significant negative association with the course of sarcoidosis (worsening pulmonary function tests and/or the chest CT changes)-blood CD4+CD31+ and CD4+CD44+ T lymphocytes, BALF CD8+CD31+ and CD8+CD103+ T lymphocytes and a number of lung nodules on chest CT at the time of the diagnosis. Cut-off values, sensitivity, specificity and odds ratio for predictors of sarcoidosis progression were calculated. These markers may be reasonable predictors of sarcoidosis progression.

Indexed as

biological markersbronchoalveolar lavagechest computed tomographysarcoidosis

Identifiers

PMID37239108
PMCPMC10216233
OpenAlexW4376610756

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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.