Evidence map›Paper›PMID 21842176›Full record

ReviewDer Internist2011

[Genetic susceptibility to infections].

S J Ott, S Schreiber

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Internist, 2011. 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
–field-weighted citation impact, top 99% 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, 0 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 1 institution in 1 country.

S J OttKlinik für Innere Medizin I, Universitätsklinikum Schleswig-Holstein, Campus Kiel, Deutschland.
S Schreiber
University Hospital Schleswig-Holstein · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases are among the leading causes of morbidity and mortality worldwide. The spectrum of clinical manifestations of infections is highly variable, ranging from asymptomatic infection or mild illness to rapid progression of disease and death. Twin studies first showed an inheritable component of many infections and epidemiological and genetic studies revealed definite gene loci and polymorphisms for most of the clinically relevant infectious diseases. Reliable genetic markers which represent susceptibility or resistance to infections, prognosis of disease and response to treatment are necessary to define risk populations and to plan therapy regimens. Genetic research can also help in identifying target structures for novel therapy strategies and anitimicrobial agents. In this article the genetic background of important infections is reviewed and examples of successful exploitation of genetic findings and translation into practical medicine are given.

Indexed as

Genetic LociGenetic MarkersGenetic Predisposition to DiseaseGenetic ResearchGenome-Wide Association StudyGlobal HealthHumansInfectionsPolymorphism, GeneticTranslational Research, BiomedicalGenetic Markers

Identifiers

PMID21842176
OpenAlexW171646581

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.