Evidence map›Paper›PMID 28969882›Full record

ArticleTrends in microbiology2017

Personalized Medicine and Infectious Disease Management.

Slade O Jensen, Sebastiaan J van Hal

Abstract readComment
PubMed Publisher
In one paragraph

Article in Trends in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Slade O JensenSchool of Medicine, Western Sydney University, Sydney, NSW, Australia; Antimicrobial Resistance and Mobile Elements Group, Ingham Institute for Applied Medical Research, Sydney, NSW, Australia. Electronic address: s.jensen@westernsydney.edu.au.
Sebastiaan J van HalRoyal Prince Alfred Hospital, Sydney, NSW, Australia.
Royal Prince Alfred Hospital · AUWestern Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent study identified pathogen factors associated with an increased mortality risk in Staphylococcus aureus bacteremia, using predictive modelling and a combination of genotypic, phenotypic, and clinical data. This study conceptually validates the benefit of personalized medicine and highlights the potential use of whole genome sequencing in infectious disease management.

Indexed as

BacteremiaDisease ManagementDNA, BacterialGenomicsHost-Pathogen InteractionsHumansMutationPrecision MedicineStaphylococcal InfectionsStaphylococcus aureusTime FactorsWhole Genome SequencingDNA, Bacterialinfectious disease managementpersonalized medicinewhole-genome sequencing

Identifiers

PMID28969882
OpenAlexW2757516853

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.