Evidence map›Paper›PMID 16883069›Full record

ArticleMediators of inflammation2006

Lymphocyte subpopulations in pulmonary tuberculosis patients.

Figen Deveci, H Handan Akbulut, Ilhami Celik, M Hamdi Muz, Fulya Ilhan

Open access · goldAbstract read
In one paragraph

Article in Mediators of inflammation, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

16 citing papers in PubMed, 45 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

5 authors at 1 institution in 1 country.

Figen DeveciDepartment of Chest Diseases, Faculty of Medicine, Firat University, Elazig 23119, Turkey.
H Handan Akbulut
Ilhami Celik
M Hamdi Muz
Fulya Ilhan
Fırat University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protection against Mycobacterium tuberculosis is based on cell-mediated immunity, most importantly involving CD4(+) and CD8(+) T-cell subsets. The aim of this study was to evaluate CD4(+) and CD8(+) T-cell profiles and CD19(+) and CD3(+)CD(16 + 56)(+) populations in patients with pulmonary tuberculosis. CD4(+) and CD8(+) T cells, B-lymphocytes, and natural killer (NK) cells were evaluated in 75 active (APTB) and 25 inactive (IPTB) pulmonary tuberculosis cases and 20 healthy subjects (HCs). The results were compared at different stages of antituberculosis treatment in the APTB patients and also according to X-ray findings in the newly diagnosed APTB patients. The percentages of CD4(+) T cells were significantly lower (P < .01) and those of CD3(+)CD(16+56)(+) cells were significantly higher (P < .01) in APTB patients than in HCs. CD8(+) T cells were significantly decreased (P < .05), and CD3(-)CD(16+56)(+) cells were significantly increased (P < .01), in IPTB patients compared to HCs. The percentages of CD4(+), CD8(+), CD3(-)CD19(+), and CD3(-)CD(16+56)(+) cells showed no differences at different times of the antituberculosis regimen, and different stages of newly diagnosed APTB patients. APTB patients have a reduced percentage of circulating CD4(+) T cells and an increased percentage of NK cells compared with healthy individuals. These cells could play important roles in the immune response to M tuberculosis infection.

Indexed as

AdultAntitubercular AgentsCD3 ComplexCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesFemaleFlow CytometryHumansKiller Cells, NaturalLymphocytesLymphocyte SubsetsMaleMiddle AgedMycobacterium tuberculosisRadiography, ThoracicTuberculosis, PulmonaryAntitubercular AgentsCD3 Complex

Identifiers

PMID16883069
PMCPMC1592589
OpenAlexW2017406598

What OpenQuestion 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 OpenQuestion graph.