Evidence map›Paper›PMID 33069210›Full record

ArticleBMC infectious diseases2020

Completeness of tuberculosis case notifications in Germany in 2013-2017: first results of an inventory study.

Teresa Domaszewska, Basel Karo, Ute Preuss, Christian Kollan, Annicka Reuss, Hans-Peter Blank, Bonita Brodhun, Barbara Hauer, Doris Altmann, Lena Fiebig and 2 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Inventory study on completeness of tuberculosis case notifications in Poland in 2018.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
    Article
  5. 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

12 authors.

Teresa DomaszewskaDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany. teresa.domaszewska@gmail.com.ORCID http://orcid.org/0000-0003-2823-8849
Basel KaroRobert Koch Institute, Centre for International Health Protection (ZIG), Berlin, Germany.
Ute PreussDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Christian KollanDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Annicka ReussDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Hans-Peter BlankDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Bonita BrodhunDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Barbara HauerDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Doris AltmannDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Lena FiebigDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Walter HaasDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.
Nita PerumalDepartment for Infectious Disease Epidemiology, Robert Koch Institute, Berlin, Germany.

Funding

Bundesministerium für Gesundheit ZMVI1-2516NIK701
6 · The paper itself

Abstract

backgroundEvaluating the completeness of tuberculosis (TB) notification data is important for monitoring of TB surveillance systems. We conducted an inventory study to calculate TB underreporting in Germany in 2013-2017.

methodsAcquisition of two pseudonymized case-based data sources (national TB notification data and antibiotic resistance surveillance data) was followed by two-source Capture-recapture (CRC) analysis, as case-based data from a third source was unavailable. Aggregated data on consumption of a key anti-TB drug (pyrazinamide [PZA]) was compared to an estimated need for PZA based on TB notification data to obtain an independent underreporting estimation. Additionally, notified TB incidence was compared to TB rate in an aggregated health insurance fund dataset.

resultsCRC and PZA-based approaches indicated that between 93 and 97% (CRC) and between 91 and 95% (PZA) of estimated cases were captured in the national TB notification data in the years 2013-2017. Insurance fund dataset did not indicate TB underreporting on the national level in 2017.

conclusionsOur results suggest that more than 90% of estimated TB cases are captured within the German TB surveillance system, and accordingly the TB notification rate is likely a good proxy of the diagnosed TB incidence rate. An increase in underreporting and discrepancies however should be further investigated.

Indexed as

Mycobacterium tuberculosisAntitubercular AgentsDatabases, FactualDisease NotificationGermanyHumansIncidenceInformation Storage and RetrievalLength of StayPyrazinamideTuberculosisAntitubercular AgentsPyrazinamideInventory studyReporting completenessSurveillanceTuberculosisUnderreporting

Identifiers

PMID33069210
PMCPMC7568379

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