Evidence map›Paper›PMID 36310782›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2022

The accuracy of fully automated algorithms for surveillance of healthcare-onset

Suzanne Desirée van der Werff, Mikael Fritzing, Hideyuki Tanushi, Aron Henriksson, Hercules Dalianis, Anders Ternhag, Anna Färnert, Pontus Nauclér

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. The Global Burden ofInfectious disease reports · 2025
    Review
  3. 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

8 authors.

Suzanne Desirée van der WerffDivision of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7162-3844
Mikael FritzingDivision of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Hideyuki TanushiDivision of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Aron HenrikssonDepartment of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-9731-1048
Hercules DalianisDepartment of Computer and Systems Sciences, Stockholm University, Stockholm, Sweden.ORCID https://orcid.org/0000-0003-0165-9926
Anders TernhagDivision of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.
Anna FärnertDivision of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7583-282X
Pontus NauclérDivision of Infectious Diseases, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-8185-2648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed and validated a set of fully automated surveillance algorithms for healthcare-onset CDI using electronic health records. In a validation data set of 750 manually annotated admissions, the algorithm based on

Identifiers

PMID36310782
PMCPMC9614897

What OpenQuestion holds

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Registered trials

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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.