Evidence map›Paper›PMID 17987355›Full record

ReviewWiener klinische Wochenschrift2007

[Mission oriented diagnostic real-time PCR].

Herbert Tomaso, Holger C Scholz, Sascha Al Dahouk, Wolf D Splettstoesser, Heinrich Neubauer, Martin Pfeffer, Eberhard Straube

Erratum issuedAbstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Wiener klinische Wochenschrift, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 99% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

Herbert TomasoMilitärspital Innsbruck, Innsbruck, Osterreich. herbert.tomaso@web.de
Holger C Scholz
Sascha Al Dahouk
Wolf D Splettstoesser
Heinrich Neubauer
Martin Pfeffer
Eberhard Straube
Universität der Bundeswehr München · DEBundeswehrzentralkrankenhaus Koblenz · DEFriedrich-Loeffler-Institut · DEInstitut für Medizinische Informatik, Biometrie und Epidemiologie · DEInstitut für Mikrobiologie der BundeswehrUniversity Hospital Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In out of area military missions soldiers are potentially exposed to bacteria that are endemic in tropical areas and can be used as biological agents. It can be difficult to culture these bacteria due to sample contamination, low number of bacteria or pretreatment with antibiotics. Commercial biochemical identification systems are not optimized for these agents which can result in misidentification. Immunological assays are often not commercially available or not specific. Real-time PCR assays are very specific and sensitive and can shorten the time required to establish a diagnosis markedly. Therefore, real-time PCRs for the identification of Bacillus anthracis, Brucella spp., Burkholderia mallei und Burkholderia pseudomallei, Francisella tularensis und Yersinia pestis have been developed. PCR results can be false negative due to inadequate clinical samples, low number of bacteria in samples, DNA degradation, inhibitory substances and inappropriate DNA preparation. Hence, it is crucial to cultivate the organisms as a prerequisite for adequate antibiotic therapy and typing of the agent. In a bioterrorist scenario samples have to be treated according to rules applied in forensic medicine and documentation has to be flawless.

Indexed as

Biological Warfare AgentsBacteriaBacterial InfectionsBiological WarfareComputer SystemsHumansMilitary MedicinePolymerase Chain ReactionTravelBiological Warfare Agents

Identifiers

PMID17987355
OpenAlexW49407076

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.