Evidence map›Paper›PMID 32990764›Full record

ReviewMedizinische Klinik, Intensivmedizin und Notfallmedizin2020

[Imaging in intensive care units].

P Böttger, M Buerke

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. [Core curriculum of intensive care and emergency medicine in internal medicine].Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025
    Review
  2. Review
  3. Review
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 at 1 institution in 1 country.

P BöttgerHerz und Gefäßzentrum Südwestfalen, Klinik für Innere Medizin II, Kardiologie, Angiologie, Internistische Intensivmedizin, St. Marien-Krankenhaus Siegen, Kampenstr. 51, 57072, Siegen, Deutschland.
M BuerkeHerz und Gefäßzentrum Südwestfalen, Klinik für Innere Medizin II, Kardiologie, Angiologie, Internistische Intensivmedizin, St. Marien-Krankenhaus Siegen, Kampenstr. 51, 57072, Siegen, Deutschland. m.buerke@mariengesellschaft.de.
Malteser Krankenhaus St. Anna · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging is essential in the diagnosis and treatment of critically ill patients. Although bedside ultrasound and chest x‑rays are the major tools in the initial assessment, there are a variety of imaging options available to physicians in the intensive care unit such as computed tomography, magnetic resonance imaging, or nuclear medicine. Bedside diagnostic tools or radiology intervention procedures also play an important role in the management of critically ill patients. The choice of imaging modality is sometimes difficult and should be based on current recommendations or guidelines, available equipment, and the experience of the examiner. With the increasing importance of costs, the diagnostic and therapeutic benefits of the imaging process must be maximized in line with minimizing costs. The various indications, strengths, and weaknesses of the imaging modalities are summarized and the diagnostic findings using clinical examples are discussed. The focus of this article is on imaging of the thorax and the diagnostic imaging methods used in the intensive care unit.

Indexed as

Intensive Care UnitsMagnetic Resonance ImagingCritical IllnessHumansTomography, X-Ray ComputedUltrasonographyComputer tomographyCritical illnessIntensive care unitRadiographyUltrasonography

Identifiers

PMID32990764
OpenAlexW3089841752

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.