Evidence map›Paper›PMID 34012580›Full record

ArticleJournal of thoracic disease2021

CD31

Regina Aleksonienė, Justinas Besusparis, Vygantas Gruslys, Laimutė Jurgauskienė, Aida Laurinavičienė, Arvydas Laurinavičius, Radvilė Malickaitė, Jolita Norkūnienė, Rolandas Zablockis, Edvardas Žurauskas and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2021. 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
3.4field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 16 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Regina AleksonienėClinic of Chest Diseases, Immunology and Allergology of Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Justinas BesusparisNational Center of Pathology, affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
Vygantas GruslysClinic of Chest Diseases, Immunology and Allergology of Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Laimutė JurgauskienėFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Aida LaurinavičienėNational Center of Pathology, affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
Arvydas LaurinavičiusNational Center of Pathology, affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
Radvilė MalickaitėFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Jolita NorkūnienėDepartment of Mathematical Statistics, Vilnius Gediminas Technical University, Vilnius, Lithuania.
Rolandas ZablockisClinic of Chest Diseases, Immunology and Allergology of Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Edvardas ŽurauskasNational Center of Pathology, affiliate of Vilnius University Hospital Santaros Klinikos, Vilnius, Lithuania.
Edvardas DanilaClinic of Chest Diseases, Immunology and Allergology of Faculty of Medicine, Vilnius University, Vilnius, Lithuania.
Vilnius University · LTVilnius Gediminas Technical University · LTVilnius University Hospital Santariskiu Klinikos · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mechanisms driving the transition from inflammation to fibrosis in sarcoidosis patients are poorly understood; prognostic features are lacking. Immune cell profiling may provide insights into pathogenesis and prognostic factors of the disease. This study aimed to establish associations in simultaneous of lymphocyte subset profiles in the blood, bronchoalveolar lavage fluid (BALF), and lung biopsy tissue in the patients with newly diagnosed sarcoidosis.

methodsA total of 71 sarcoid patients (SPs) and 20 healthy controls (HCs) were enrolled into the study. CD31, CD38, CD44, CD103 positive T lymphocytes in blood and BALF were analysed. Additionally, the densities of CD4, CD8, CD38, CD44, CD103 positive cells in lung tissue biopsies were estimated by digital image analysis.

resultsMain findings: (I) increase of percentage of CD3

conclusionsLymphocyte subpopulations in blood, BALF, and lung tissue were substantially different in SPs at the time of diagnosis compared to HCs. CD3

Indexed as

Bronchoalveolar lavagebronchoscopic lung biopsysarcoidosis

Identifiers

PMID34012580
PMCPMC8107533
OpenAlexW3156071083

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.