Evidence map›Paper›PMID 19961606›Full record

ArticleBMC infectious diseases2009

Transmission dynamics of pulmonary tuberculosis between autochthonous and immigrant sub-populations.

Judit Barniol, Stefan Niemann, Valérie R Louis, Bonita Brodhun, Caroline Dreweck, Elvira Richter, Heiko Becher, Walter Haas, Thomas Junghanss

Abstract read
In one paragraph

Article in BMC infectious diseases, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 3 pooled it
–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

28 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Yield of active screening for tuberculosis among asylum seekers in Germany: a systematic review and meta-analysis.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017
    Pooled it
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  6. Dynamics ofPathogens (Basel, Switzerland) · 2022
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  9. Do Incarcerated Populations Serve as a Reservoir for Tuberculosis in South Africa?The American journal of tropical medicine and hygiene · 2018
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  11. Molecular clustering of patients withJournal of clinical tuberculosis and other mycobacterial diseases · 2018
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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

9 authors.

Judit BarniolSection Clinical Tropical Medicine, Department for Infectious Diseases, University Hospital Heidelberg, Im Neuenheimer Feld 324, 69120 Heidelberg, Germany. judit.barniol@urz.uni-heidelberg.de
Stefan Niemann
Valérie R Louis
Bonita Brodhun
Caroline Dreweck
Elvira Richter
Heiko Becher
Walter Haas
Thomas Junghanss

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe overall incidence of tuberculosis (TB) in Western Europe has been declining since the 19th Century. However, immigrant sub-groups from high-prevalence countries are slowing down this trend. The aim of this study was to describe how immigration influences TB transmission in Germany. For that we prospectively investigated the dynamics of TB transmission between TB high-prevalence immigrant and TB low-prevalence local populations with molecular epidemiological methods and conventional contact investigations. Besides, we assessed transmission in relation to social mixing using an innovative tool that measures the integration of immigrants into the local social environment.

methodsA prospective study of confirmed culture positive cases of pulmonary TB and their contacts was carried out in a German federal state from 2003 to 2005. Data for the study included: 1) case data routinely collected by the local public health staff and transmitted to the state health office and the national surveillance centre, 2) a study questionnaire designed to capture social interactions of relevance for TB transmission and 3) molecular genotyping data (IS6110 DNA fingerprint and spoligotyping). The proportion of German cases caused by foreign-born cases, and vice versa, was estimated and an integration index was computed using a selected set of questions from the study questionnaire.

resultsA total of 749 cases of culture-positive pulmonary tuberculosis voluntarily enrolled in the study, representing 57.8% of all registered cases diagnosed over the study period. Data that included study questionnaire and DNA fingerprinting were available for 41% (n = 308) of the study participants. Forty-seven clusters, defined as a least two cases infected by the same TB strains, were identified by molecular methods and included 132 (17%) of the study participants. Epidemiological links were identified for 28% of the clusters by conventional epidemiological data. In mixed clusters, defined as clusters including German and foreign-born individuals, the probability of cases to be caused by foreign-born cases was estimated at 18.3%. We observed a trend to mixed clusters with increasing time spent by immigrants in the host country. This group also presented comparatively higher integration indexes than immigrants in immigrant-only clusters.

conclusionOur results confirm the findings of other studies that there is no significant TB transmission from TB high-prevalence immigrant to TB low-prevalence autochthonous population. This may be explained by the good performance of tuberculosis screening programmes for certain groups arriving in Germany from high- prevalence countries, by a low degree of mixing of immigrants with the local population or by a combination of both.

Indexed as

Emigrants and ImmigrantsMolecular EpidemiologyAdultAgedBacterial Typing TechniquesCluster AnalysisContact TracingDNA, BacterialDNA FingerprintingFemaleGermanyHumansIncidenceMaleMiddle AgedMycobacterium tuberculosisDNA, Bacterial

Identifiers

PMID19961606
PMCPMC3224697

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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.