Evidence map›Paper›PMID 27082745›Full record

ArticlePloS one2016

Occupational Tuberculosis in Denmark through 21 Years Analysed by Nationwide Genotyping.

Mathias Klok Pedersen, Aase Bengaard Andersen, Peter Henrik Andersen, Erik Svensson, Sidse Graff Jensen, Troels Lillebaek

Abstract read
In one paragraph

Article in PloS one, 2016. 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. Airborne bioaerosols and their impact on human health.Journal of environmental sciences (China) · 2018
    Review
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

6 authors.

Mathias Klok PedersenInternational Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-7469-5963
Aase Bengaard AndersenDepartment of Infectious Diseases, Copenhagen University Hospital, Copenhagen, Denmark.
Peter Henrik AndersenDepartment of Infectious Disease Epidemiology, Statens Serum Institut, Copenhagen, Denmark.
Erik SvenssonInternational Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.
Sidse Graff JensenDepartment of Pulmonary Medicine, Gentofte Hospital, Hellerup, Denmark.
Troels LillebaekInternational Reference Laboratory of Mycobacteriology, Statens Serum Institut, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) is a well-known occupational hazard. Based on more than two decades (1992-2012) of centralized nationwide genotyping of all Mycobacterium tuberculosis culture-positive TB patients in Denmark, we compared M. tuberculosis genotypes from all cases notified as presumed occupational (N = 130) with M. tuberculosis genotypes from all TB cases present in the country (N = 7,127). From 1992 through 2006, the IS6110 Restriction Fragment Length Polymorphism (RFLP) method was used for genotyping, whereas from 2005 to present, the 24-locus-based Mycobacterial Interspersed Repetitive Unit-Variable Number of Tandem Repeat (MIRU-VNTR) was used. An occupational TB case was classified as clustered if the genotype was 100% identical to at least one other genotype. Subsequently, based on genotype, time period, smear positivity, geography, susceptibility pattern, and any reported epidemiological links between the occupational cases and any potential source cases, the occupational case was categorized as confirmed, likely, possible or unlikely occupationally infected. Among the 130 notified presumed occupational cases, 12 (9.2%) could be classified as confirmed and 46 (35.4%) as unlikely, accounting for nearly half of all cases (44.6%). The remaining 72 cases (55.4%) were categorized as possible. Within this group, 15 cases (11.5%) were assessed to be likely occupational. Our study shows that genotyping can serve as an important tool for disentangle occupational TB in high-income low incidence settings, but still needs to be combined with good epidemiological linkage information.

Indexed as

GenotypeAdultAgedAged, 80 and overBacterial Typing TechniquesCluster AnalysisDenmarkFemaleHumansMaleMiddle AgedMolecular EpidemiologyMycobacterium tuberculosisOccupational DiseasesPolymorphism, Restriction Fragment LengthRegistries

Identifiers

PMID27082745
PMCPMC4833408

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.