Evidence map›Paper›PMID 29637219›Full record

ReviewMedizinische Klinik, Intensivmedizin und Notfallmedizin2018

[Community-acquired pneumonia].

M Hecker, N Sommer, K Tello, A Hecker, W Seeger, K Mayer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2018. 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. [Evolution of CT manifestations in a Coronavirus (2019-nCoV) pneumonia patient].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2020
    Article
  2. [Hospital-acquired pneumonia].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2018
    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

6 authors.

M HeckerMedizinische Klinik II, Universitätsklinikum Gießen und Marburg, Standort Gießen, Klinikstraße 33, 35392, Gießen, Deutschland. Matthias.Hecker@innere.med.uni-giessen.de.
N SommerMedizinische Klinik II, Universitätsklinikum Gießen und Marburg, Standort Gießen, Klinikstraße 33, 35392, Gießen, Deutschland.
K TelloMedizinische Klinik II, Universitätsklinikum Gießen und Marburg, Standort Gießen, Klinikstraße 33, 35392, Gießen, Deutschland.
A HeckerKlinik für Allgemein‑, Viszeral‑, Thorax‑, Transplantations- und Kinderchirurgie, Universitätsklinikum Gießen und Marburg, Standort Gießen, Gießen, Deutschland.
W SeegerMedizinische Klinik II, Universitätsklinikum Gießen und Marburg, Standort Gießen, Klinikstraße 33, 35392, Gießen, Deutschland.
K MayerMedizinische Klinik II, Universitätsklinikum Gießen und Marburg, Standort Gießen, Klinikstraße 33, 35392, Gießen, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Community-acquired pneumonia (CAP) is a frequent and potentially fatal disorder. Due to the notably high mortality within the first days, the immediate initiation of rational diagnostic pathways and treatment is of tremendous prognostic impact. In this review article, the current German guideline on the diagnosis and therapy of CAP is presented. Special focus is put on structured patient management based on the individual risk for early identification of critically ill patients. In particular, risk assessment directly influences rational diagnostics and adequate therapy. New recommendations concerning preventive strategies are also discussed in this article.

Indexed as

Community-Acquired InfectionsPneumoniaAnti-Bacterial AgentsHumansPrognosisRisk AssessmentAnti-Bacterial AgentsAntibioticsBronchopneumoniaInfluenzaPneumococcal infectionRisk factors

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.