Evidence map›Paper›PMID 28116471›Full record

ReviewDer Internist2017

[Gastrointestinal infections].

C Lübbert, R Mutters

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Internist, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. [Expert consensus on diagnosis and treatment of end-stage liver disease complicated infection (2021 version)].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    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

2 authors.

C LübbertFachbereich Infektions- und Tropenmedizin, Klinik und Poliklinik für Gastroenterologie und Rheumatologie, Department für Innere Medizin, Neurologie und Dermatologie, Universitätsklinikum Leipzig AöR, Liebigstr. 20, 04103, Leipzig, Deutschland. christoph.luebbert@medizin.uni-leipzig.de.
R MuttersInstitut für Medizinische Mikrobiologie und Krankenhaushygiene, Philipps-Universität Marburg, Marburg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diarrhea is one of the most common diseases. This article summarizes the current state of the diagnostics and treatment and includes the most important pathogens, i.e. Norovirus, Rotavirus, Campylobacter, Salmonella, Shigella and pathogenic Escherichia coli. Infections caused by toxin-producing strains of Clostridium difficile are described in more detail due to the increasing importance. Symptomatic therapy is still the most important component of treatment. Empirical antibiotic therapy is reserved for severely ill patients with a high stool frequency, fever, bloody diarrhea, underlying immune deficiency or significant comorbidities. Increasing bacterial resistance (in particular against fluoroquinolones) has to be considered. Motility inhibitors are not recommended for infections due to Shiga toxin-producing E. coli, C. difficile infections (CDI) and severe enterocolitis caused by other pathogens. The macrocyclic antibiotic fidaxomicin can reduce the recurrence rate of CDI. Fecal microbiota transplantation (FMT) currently provides a reserve treatment option for multiple recurrences of CDI and is subject to the Medicines Act (Arzneimittelgesetz, AMG) in Germany.

Indexed as

Anti-Bacterial AgentsAntiviral AgentsBacterial InfectionsDiagnosis, DifferentialDiarrheaEvidence-Based MedicineGastrointestinal DiseasesHumansSymptom AssessmentTreatment OutcomeVirus DiseasesAnti-Bacterial AgentsAntiviral AgentsAnti-infective agentsClostridium difficileDiarrheaDrug resistance, microbialGastrointestinal tract

Identifiers

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.