Evidence map›Paper›PMID 28884842›Full record

ArticleJournal of clinical laboratory analysis2018

Distribution of Mycobacterium tuberculosis in Korea in the preceding decade.

Jae-Sik Jeon, Jae Kyung Kim, Qute Choi, Jong Wan Kim

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Jae-Sik JeonDepartment of Biomedical Laboratory Science, College of Health Sciences, Dankook University, Cheonan, Korea.ORCID http://orcid.org/0000-0001-8981-5705
Jae Kyung KimDepartment of Biomedical Laboratory Science, College of Health Sciences, Dankook University, Cheonan, Korea.
Qute ChoiDepartment of Laboratory Medicine, Dankook University Hospital, Cheonan, Korea.
Jong Wan KimDepartment of Laboratory Medicine, College of Medicine, Dankook University, Cheonan, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) is an infectious disease caused by the bacillus Mycobacterium tuberculosis (MTB); it is transmitted among people through air. The aim of this study was to assess the prevalence of TB and its clinical trends by collecting and analyzing data on specimens in Korea.

methodsAll clinical specimens referred to the Dankook University Hospital Laboratory in Cheonan, Korea, from September 2005 to June 2016 were tested to isolate MTB using solid and liquid cultures, acid-fast bacilli (AFB) smears, and polymerase chain reactions (PCR).

resultsIn total, 146 150 specimens were collected; the mean TB positivity rate was 7.8%. The highest positivity rate was observed among patients 30-39 years of age (12.6%), followed by those 20-29 years of age (12.2%). The mean positivity rate was highest in 2010 and lowest in 2016 (10.7% and 6.7%, respectively). When comparing 2015-2011, we saw a decrease in the number of TB-positive patients of 3.4%; this represented an annual decrease in 0.9%.

conclusionOur data revealed a trend for a decrease in TB prevalence over time. Moreover, TB positivity rates were highest among the younger age groups in our study. Therefore, rapid diagnosis and treatment of TB in younger individuals are crucial.

Indexed as

AdolescentAdultAgedAged, 80 and overBacteriological TechniquesChildChild, PreschoolHumansInfantInfant, NewbornMiddle AgedMycobacterium tuberculosisRepublic of KoreaRetrospective StudiesTuberculosisYoung Adultanalysisannuallydecadetrendtuberculosis

Identifiers

PMID28884842
PMCPMC6817143

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.