Evidence map›Paper›PMID 26577434›Full record

ReviewDer Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen2016

[Antibiotic therapy of intra-abdominal infections in the era of multiresistance].

C Eckmann

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. [Julius Springer Prize for Surgery 2017 awarded].Der Chirurg; Zeitschrift fur alle Gebiete der operativen Medizen · 2017
    Article
  7. Article
  8. 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

1 author at 1 institution in 1 country.

C EckmannKlinik für Allgemein, Viszeral- und Thoraxchirurgie, Klinikum Peine GmbH, Peine, Deutschland. christian.eckmann@klinikum-peine.de.
Klinikum Stuttgart · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recommendations for the treatment of intra-abdominal infections (IAI) caused by drug-resistant bacteria often fail to mention the bacteria of concern (e.g. vancomycin-resistant enterococci, extended spectrum beta-lactamase-producing (ESBL) Enterobacteriaceae, multi-drug resistant Pseudomonas spp., carbapenem-resistant organisms and Acinetobacter spp.) and all available drugs. The group of patients suffering from IAI due to resistant bacteria includes the entire group of postoperative and tertiary peritonitis and necrotizing pancreatitis. This article provides information for the management of a very important group of diseases with a substantial morbidity and mortality. An individual patient-centered approach is mandatory to evaluate the optimal antimicrobial treatment regimen. Especially in gram-negative bacteria, which are the predominant cause only a few options remain for treatment. Clinical data with a high level of evidence are very limited. Future studies should focus on pharmacokinetic and pharmakodynamic aspects in critically ill patients, in the sense of antibiotic stewardship in order to elucidate the real life efficacy and safety of antibiotics for the treatment of life-threatening IAI.

Indexed as

Drug Resistance, Multiple, BacterialAnti-Bacterial AgentsBacterial Infectionsbeta-Lactam ResistanceHumansIntraabdominal InfectionsPeritonitisAnti-Bacterial AgentsBeta-lactamaseIntra-abdominal infectionsPostoperative peritonitisResistant bacteriaTertiary peritonitis

Identifiers

PMID26577434
OpenAlexW2177270826

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.