Evidence map›Paper›PMID 35110195›Full record

ArticleTurkish thoracic journal2022

Investigation of Granulomatous Inflammations in Terms of Tuberculosis Diagnosis: A 5-Year Multi-center Laboratory Study.

Derya Öztomurcuk, Özlem Terzi, Canan Demirci, Zeki Kılıçaslan

Open access · greenAbstract read
In one paragraph

Article in Turkish thoracic journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 7 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

4 authors at 2 institutions in 1 country.

Derya ÖztomurcukSamsun Tuberculosis Dispensary of Health Directorate, Samsun, Turkey.
Özlem TerziDepartment of Public Health, Faculty of Medicine, Ondokuz Mayıs University, Samsun, Turkey.
Canan DemirciDepartman of Pathology, Gazi Hospital, Samsun, Turkey.
Zeki KılıçaslanDepartment Of Chest Diseases, Faculty of Çapa Medicine, İstanbul University, İstanbul, Turkey.
Ondokuz Mayıs University · TRSamsun University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGranulomatous inflammation showing "caseification necrosis" is considered pathognomonic for tuberculosis. This study aimed to evaluate patients with granulomatous inflammation and some characteristics to diagnose tuberculosis. MATERIAL AND

methodsThis is a cross-sectional descriptive study. The study includes all pathology laboratories in Samsun between the years 2012 and 2017. Pathology reports that contained the term granulomatous were selected between all patient reports of these laboratories. The patient reports were examined by comparing the dispensary records and the presence of a diagnosis of tuberculosis.

resultsIn the 703 pathology reports, it was found that 38% were only granulomatous and 33% were caseous granulomatosis lesions. When the prevalence of tuberculosis according to the presence of microscopic necrosis was observed in granulomatous tissue samples, 85% tuberculosis was found in patients with necrotic granulomatous tissue and 14% tuberculosis was found with non-necrotic lesions. The presence of tuberculosis in necrotic granulomatous tissues was statistically significantly higher (P < .00001).

conclusionAs a result, when examining a pathology report for the presence of tuberculosis, the existence of a granulomatous reaction should be considered first. Getting stuck on the definition of caseification necrosis will cause the case to be skipped. An indication of necrosis in the pathologic evaluation will guide the diagnosis of tuberculosis.

Identifiers

PMID35110195
PMCPMC9450166
OpenAlexW4206951851

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Registered trials

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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.