Evidence map›Paper›PMID 28559703›Full record

ArticleClujul medical (1957)2017

The value of laboratory tests in the diagnosis of tuberculosis.

Nicolae Petre, Carmen Monica Pop, Daniela Homorodean

Open access · bronzeAbstract read
In one paragraph

Article in Clujul medical (1957), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Nicolae PetreCounty Hospital of Petrosani, Romania.
Carmen Monica PopLeon Daniello Clinical Hospital of Pneumology, Cluj-Napoca, Romania.
Daniela HomorodeanLeon Daniello Clinical Hospital of Pneumology, Cluj-Napoca, Romania.
Clinica de Pneumologie Iaşi · ROUniversitatea Din Petrosani · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimIn the last decades, the inhabitants of the Romanian region known as Jiu Valley underwent changes in their social and economic status which determined changes in behaviour and health, which influenced their general health condition. One of the consequences was the exacerbation of tuberculosis. In order to control this situation, there was a need to increase the efficiency of diagnosis. This optimization can be reached by a better detection of mycobacterium infection, optimal isolation of strains and identification of the resistance of strains to antituberculous drugs.

methodsIn order to identify the best diagnostic modality, we compared the efficacy of the classical bacteriological diagnosis, still performed in the field, to the modern methods of molecular biology. The study included two groups, one represented by 213 patients who were investigated using the classical bacteriological methods, and 49 who were diagnosed using the PCR method.

resultsThe tuberculosis patients who have been evaluated only with the classical bacteriological methods where diagnosed as TB positive and treated according to the national guidelines, which are in agreement with the international guidelines. The PCR diagnostic methods had a superior diagnostic value compared to the traditional bacteriological method.

conclusionsThe results revealed the superiority of the modern molecular biology methods based on PCR. However the bacteriological method remains useful in areas where PCR cannot be afforded.

Indexed as

bacteriological diagnosislaboratory diagnosisPCRtuberculosis

Identifiers

PMID28559703
PMCPMC5433571
OpenAlexW2493379241

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.