Evidence map›Paper›PMID 32157610›Full record

ArticleInfection2020

Update on the "Choosing Wisely" initiative in infectious diseases in Germany.

Rika Draenert, Norma Jung, Choosing Wisely (Klug entscheiden) DGI Working Group

Open access · hybridAbstract read
In one paragraph

Article in Infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Rika DraenertLMU Klinikum, Stabsstelle Antibiotic Stewardship, Ludwig-Maximilians-University, Munich, Germany. rika.draenert@med.uni-muenchen.de.ORCID http://orcid.org/0000-0001-6049-3626
Norma JungDivision of Infectious Diseases, Department of Internal Medicine, University of Cologne, Cologne, Germany.
Choosing Wisely (Klug entscheiden) DGI Working Group
University of Cologne · DELMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe Choosing Wisely

methodsThe recommendations of the DGI are part of the "Klug entscheiden" initiative of the German Society of Internal Medicine (DGIM). Topics for the new items were suggested by members of the DGI, checked for scientific evidence and consented within the DGI and the DGIM before publication.

resultsThe new recommendations are: (1) individuals with immune-suppression, advanced liver cirrhosis or renal insufficiency should receive a dual pneumococcal vaccination. (2) In case of positive blood cultures with Candida spp. thorough diagnostics and treatment should be initiated. (3) In case of suspected meningitis, adult patients should receive dexamethasone and antibiotics immediately after venipuncture for blood cultures and before potential imaging. (4) In case of suspected meningitis a CT scan before lumbar puncture should not be ordered-except for symptoms indicating high CSF pressure or focal brain pathology or in cases of severe immune-suppression. (5) In patients with suspected severe infections, a minimum of two pairs of blood cultures should be drawn using separate venipunctures prior to antibiotic therapy-regardless of body temperature. There is no need of a minimum time interval in between the blood draws.

conclusionApplying these new Choosing Wisely

Indexed as

Delivery of Health CarePractice Guidelines as TopicSocieties, MedicalCommunicable DiseasesGermanyHumansBlood culturesChoosing WiselyInfectious diseasesMeningitisVaccination

Identifiers

PMID32157610
PMCPMC7256090
OpenAlexW3012559719

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.