Evidence map›Paper›PMID 36662357›Full record

ReviewInnere Medizin (Heidelberg, Germany)2023

[Inflammation in the blood: what's behind it?]

Elena Neumann, Ingo H Tarner

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Innere Medizin (Heidelberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Elena NeumannRheumatologie und Klinische Immunologie, Justus-Liebig-Universität Gießen, Campus Kerckhoff, Benekestr. 2-8, 61231, Bad Nauheim, Deutschland. e.neumann@kerckhoff-klinik.de.
Ingo H TarnerRheumatologie und Klinische Immunologie, Justus-Liebig-Universität Gießen, Campus Kerckhoff, Benekestr. 2-8, 61231, Bad Nauheim, Deutschland.
Kerckhoff Klinik · DEUniversity of Giessen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inflammation is the body's defensive response to mostly harmful stimuli, usually in response to pathogens or toxic substances. However, the immune response in chronic inflammation is usually directed against harmless antigens, such as allergens, or commensal pathogens, such as herpes viruses, or against the body's own structures, as in autoimmune diseases. The body reacts to the respective stimulating factors with a relatively uniform inflammatory response. Besides the initial reaction of the innate immune system, the activation of immune cells and the release of pro-inflammatory cytokines are in the foreground. Accordingly, inflammatory changes that can be detected in the blood usually do not arise in the blood itself, but in a specific tissue or organ system. In the case of long-term or chronic inflammation, the inflammatory response can be detected in the blood by means of various factors, and both general inflammatory parameters as well as specific parameters can be used for diagnostic purposes. However, the long-term systemic inflammatory response itself also affects the patients suffering from chronic inflammation. This article provides an overview of systemic inflammatory factors relevant for laboratory diagnostics, of how they contribute to specific diseases, and of the systemic effects induced by chronic inflammation.

Indexed as

Autoimmune DiseasesInflammationCytokinesHumansImmunityCytokinesAutoantibodiesBiomarkers, inflammationBiomarkers, tumorCytokinesLymphocytes

Identifiers

PMID36662357
OpenAlexW4317567075

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.