Evidence map›Paper›PMID 34767054›Full record

ReviewDer Anaesthesist2022

[Which biomarkers for diagnosis and guidance of anti-infection treatment in sepsis?]

Johannes Ehler, Christoph Busjahn, Tobias Schürholz

Abstract readReview
In one paragraph

Review in Der Anaesthesist, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

3 authors.

Johannes EhlerKlinik für Anästhesiologie und Intensivtherapie, Universitätsmedizin Rostock, Rostock, Deutschland.
Christoph BusjahnKlinik für Anästhesiologie und Intensivtherapie, Universitätsmedizin Rostock, Rostock, Deutschland.
Tobias SchürholzKlinik für Operative Intensivmedizin und Intermediate Care, Uniklinik der RWTH Aachen, Pauwelsstr. 30, 52074, Aachen, Deutschland. toschuerholz@ukaachen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To date no biomarker has been identified bringing together perfect sensitivity and specificity to discriminate between inflammation and infections. Since the 1930s new markers of tissue damage and endothelial damage have been identified but which are incapable of identifying infections in every clinical setting to enable initiation of early antibiotic treatment. In this review the most important classical biomarkers and upcoming new PCR-based approaches are addressed. These markers are highlighted with respect to special clinical settings and to control the success of antibiotic treatment. The issue of discrimination between inflammation and infection is not yet solved. Based on one single biomarker it is impossible to decide whether infection is the reason for the patient's worsening condition but the combination of biomarkers or the integration of new biomarkers may be a meaningful supplement. The measurement of different biomarkers of infection or inflammation is part of the routine in critical care and will be essential in the future.

Indexed as

SepsisAnti-Bacterial AgentsBiomarkersHumansAnti-Bacterial AgentsBiomarkersAlgorithmCombinationDifferentiationInfectionInflammation

Identifiers

PMID34767054
PMCPMC8588778

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.