Evidence map›Paper›PMID 37771739›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2023

Personalized infection prevention and control: a concept whose time has arrived.

Alessia Savoldi, Nico T Mutters, Evelina Tacconelli

Abstract readEditorial
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. 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

3 authors.

Alessia SavoldiDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0003-1873-5323
Nico T MuttersInstitute for Hygiene and Public Health, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0000-0002-0156-9595
Evelina TacconelliDivision of Infectious Diseases, Department of Diagnostics and Public Health, University of Verona, Verona, Italy.ORCID https://orcid.org/0000-0003-2010-4977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized medicine has been progressively implemented in several diagnostic and therapeutic patients' algorithms, based on the common assumption that tailoring interventions, practices, and/or therapies to individual patients' clinical, biological, epidemiological, and genetic characteristics would optimize their effectiveness and reduce adverse effects. The potential benefit of the precision medicine approach has been recently considered for possible implementation in the field of infection prevention and control. The commentary explores available evidence and assesses possible future scenarios where, through advanced modeling approaches, we would be able to provide personalized prediction algorithms identifying at-risk patients who deserve the implementation of tailored preventive measures.

Indexed as

hospital transmissioninfection preventionpersonalized medicine

Identifiers

PMID37771739
PMCPMC10523548

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.