Evidence map›Paper›PMID 39737463›Full record

ArticleFrontiers in public health2024

Mandatory surveillance of bacteremia conducted by automated monitoring.

Kåre Mølbak, Christian Østergaard Andersen, Ram B Dessau, Svend Ellermann-Eriksen, Sophie Gubbels, Thøger Gorm Jensen, Jenny Dahl Knudsen, Brian Kristensen, Lisbeth Lützen, John Coia and 6 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. 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. Article
  2. Article
  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

16 authors.

Kåre MølbakEpidemiological Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Christian Østergaard AndersenDepartment of Diagnostic and Infectious Disease Preparedness, Statens Serum Institut, Copenhagen, Denmark.
Ram B DessauDepartment of Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.
Svend Ellermann-EriksenDepartment of Clinical Microbiology, Aarhus University Hospital, Aarhus, Denmark.
Sophie GubbelsDepartment of Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.
Thøger Gorm JensenDepartment of Clinical Microbiology, Odense University Hospital, Odense, Denmark.
Jenny Dahl KnudsenDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
Brian KristensenDepartment of Infectious Diseases Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark.
Lisbeth LützenDepartment of Clinical Microbiology, Sygehus Lillebælt, Vejle, Denmark.
John CoiaResearch Unit of Clinical Microbiology, Department of Regional Health Research, Esbjerg, Denmark.
Bente Ruth Scharvik OlesenDepartment of Clinical Microbiology, Copenhagen University Hospital - Herlev and Gentofte, Herlev, Denmark.
Mette PinholtDepartment of Clinical Microbiology, Copenhagen University Hospital Amager and Hvidovre, Hvidovre, Denmark.
Flemming ScheutzDepartment of Bacteria, Parasites and Fungi, The International Escherichia and Klebsiella Centre, Statens Serum Institut, Copenhagen, Denmark.
Ute Wolff SönksenDepartment of Bacteria, Parasites and Fungi, Statens Serum Institut, Copenhagen, Denmark.
Kirstine K SøgaardDepartment of Clinical Microbiology, Aalborg University Hospital, Aalborg, Denmark.
Marianne VoldstedlundDepartment of Data Integration and Analysis, Statens Serum Institut, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Except for a few countries, comprehensive all-cause surveillance for bacteremia is not part of mandatory routine public health surveillance. We argue that time has come to include automated surveillance for bacteremia in the national surveillance systems, and explore diverse approaches and challenges in establishing bacteremia monitoring. Assessed against proposed criteria, surveillance for bacteremia should be given high priority. This is based on severity, burden of illness, health gains obtained by improved treatment and prevention, risk of outbreaks (including health care associated infections), the emergence of antimicrobial drug resistance as well as the changing epidemiology of bacteremia which is seen along with an aging population and advances in medical care. The establishment of comprehensive surveillance for bacteremia was until recently conceived as an insurmountable task. With computerized systems in clinical microbiology, surveillance by real-time data capture has become achievable. This calls for re-addressing the question of including bacteremia among the conditions under mandatory surveillance. Experiences from several countries, including Denmark, show that this is feasible. We propose enhanced international collaboration, legislative action, and funding to address the challenges and opportunities.

Indexed as

BacteremiaDenmarkHumansPopulation SurveillancePublic Health SurveillanceAMR (antimicrobial resistance)artificial intelligencebacteremiablood stream infectionpublic healthsurveillance

Identifiers

PMID39737463
PMCPMC11683071

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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.