Evidence map›Paper›PMID 31198459›Full record

ArticleOpen access Macedonian journal of medical sciences2019

Clinic - Morphologic and Morphometric Criteria for Differential Diagnosis of Sarcoidosis and Pulmonary Tuberculosis.

Maida Tussupbekova, Roza Bakenova, Leila Stabayeva, Gulnazira Imanbayeva, Raikhan Nygyzbayeva, Saule Mussabekova, Dana Tayzhanova

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Article in Open access Macedonian journal of medical sciences, 2019. 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
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 9 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Maida TussupbekovaKaraganda State Medical University, Karaganda, Kazakhstan.
Roza BakenovaKaraganda State Medical University, Karaganda, Kazakhstan.
Leila StabayevaKaraganda State Medical University, Karaganda, Kazakhstan.
Gulnazira ImanbayevaKaraganda State Medical University, Karaganda, Kazakhstan.
Raikhan NygyzbayevaKaraganda State Medical University, Karaganda, Kazakhstan.
Saule MussabekovaKaraganda State Medical University, Karaganda, Kazakhstan.
Dana TayzhanovaKaraganda State Medical University, Karaganda, Kazakhstan.
Karaganda Medical University · KZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrently incidence and prevalence of sarcoidosis are increasing. Sarcoidosis is a systemic granulomatous lung disease of unknown aetiology, which is characterised by the involvement of different organ systems, variable disease course affecting young people and possessing an important issue in the modern world. The disease is extremely heterogeneous with an unpredictable clinical course. Interesting clinical cases are described in which, with a sufficient illustration of the stages of the course and diagnosis of sarcoidosis of the lungs and peripheral lymph nodes, the diagnosis was difficult. Late diagnosis and lack of correct therapy make prognosis in patients with lung sarcoidosis unfavourable.

aimTo conduct a morphometric study with the determination of the cellular composition of granulomas for the differential diagnosis of morphogenesis of granulomas in sarcoidosis and pulmonary tuberculosis. MATERIAL AND

methodsAn analysis of transthoracic biopsy of 89 patients with a verified diagnosis of sarcoidosis of the lungs and disseminated form of pulmonary tuberculosis was carried out. The resulting lung tissue material was carried out according to the standard histological method; conducted morphometric analysis.

resultsSarcoid granulomas are characterised by an increase in lymphocytes, indicating the immune character of the lesion, an increase in fibroblasts, fibrocytes, and signs of activation of angiogenesis. While for TB granuloma an increase in the number of granulocytes and epithelioid cells is characteristic. These morphological criteria for the diagnosis of sarcoidosis of the lungs and lymph nodes are necessary for use in the practice of pathologists to verify the clinical diagnosis.

conclusionDeveloped morphological and morphometric criteria for the differential diagnosis of sarcoidosis and pulmonary tuberculosis must be used in the practice of a pathologist to verify the clinical diagnosis, which will determine the adequate tactics of examination, administration, correction of the disease, and evaluation of the prognosis of the disease, taking into account identified clinical and laboratory data, results of instrumental research methods.

Indexed as

Differential diagnosisGranulomatousMorphometrySarcoidosisTuberculosis

Identifiers

PMID31198459
PMCPMC6542409
OpenAlexW2945649676

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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.