Evidence map›Paper›PMID 24699883›Full record

ReviewMedizinische Klinik, Intensivmedizin und Notfallmedizin2014

[Diagnostic markers and assessment of efficacy of antibacterial therapy].

K-F Bodmann

Abstract readReview
PubMed Publisher
In one paragraph

Review in Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2014. 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
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

1 author at 1 institution in 1 country.

K-F BodmannKlinikum Barnim GmbH, Werner Forßmann Krankenhaus, Rudolf-Breitscheid-Str. 100, 16225, Eberswalde, Deutschland, kf.bodmann@klinikum-barnim.de.
Klinikum Lippe · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In anti-infective therapy, there is a need for objective diagnostic markers to guide the appropriate selection and duration of antibacterial treatment. In the diagnosis and treatment of bacterial infections, three aspects must be considered: the appropriateness of antibacterial therapy, the initiation and evaluation of an effective initial therapy, and termination of the antimicrobial treatment. Repetitive monitoring of procalcitonin (PCT) has been proposed as such a marker in conjunction with the clinical presentation and microbiological sampling of blood, urine, and/or sputum. Different threshold values for PCT in pulmonary infections vs. severe systemic infections (e.g., sepsis) have been proposed. However, a single PCT determination is not sufficient, only consecutive measurements can give feedback of the appropriateness and success of the antibacterial therapy. Furthermore, it is important to realize that besides bacterial infection, other disease states can elevate PCT levels. Examples are calcitonin-producing tumors, medullary C-cell thyroid carcinoma, and acute respiratory distress syndrome (ARDS). PCT can also be elevated in fungal infections. On the other hand, localized and encapsulated infections (e.g., abscess, endocarditis and early stages of infections) can be associated with lowered PCT values.

Indexed as

Intensive Care UnitsAnti-Bacterial AgentsBacterial InfectionsBiomarkersCalcitoninCalcitonin Gene-Related PeptideCross InfectionDose-Response Relationship, DrugDrug Administration ScheduleHumansProtein PrecursorsTreatment OutcomeAnti-Bacterial AgentsBiomarkersCALCA protein, humanCalcitoninCalcitonin Gene-Related PeptideProtein Precursors

Identifiers

PMID24699883
OpenAlexW3046978

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.