Evidence map›Paper›PMID 24968031›Full record

ArticleBiomedica : revista del Instituto Nacional de Salud2014

The world's microbiology laboratories can be a global microbial sensor network.

Thomas F O'Brien, John Stelling

Abstract read
In one paragraph

Article in Biomedica : revista del Instituto Nacional de Salud, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Use of WHONET-SaTScan system for simulated real-time detection of antimicrobial resistance clusters in a hospital in Italy, 2012 to 2014.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017
    Article
  7. Clinical microbiology informatics.Clinical microbiology reviews · 2014
    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

2 authors.

Thomas F O'BrienDepartment of Medicine, Brigham and Women´s Hospital and Harvard Medical School, Boston, MA, USA.
John StellingDepartment of Medicine, Brigham and Women´s Hospital and Harvard Medical School, Boston, MA, USA.

Funding

WHONET: Tools for a Global Microbial Sensor NetworkR01GM103525 · NIGMS · BRIGHAM AND WOMEN'S HOSPITAL · PI STELLING, JOHN · 2012 to 2016
$1.9M
NIGMS NIH HHS R01 GM103525NIGMS NIH HHS R01GM103525
6 · The paper itself

Abstract

The microbes that infect us spread in global and local epidemics, and the resistance genes that block their treatment spread within and between them. All we can know about where they are to track and contain them comes from the only places that can see them, the world's microbiology laboratories, but most report each patient's microbe only to that patient's caregiver. Sensors, ranging from instruments to birdwatchers, are now being linked in electronic networks to monitor and interpret algorithmically in real-time ocean currents, atmospheric carbon, supply-chain inventory, bird migration, etc. To so link the world's microbiology laboratories as exquisite sensors in a truly lifesaving real-time network their data must be accessed and fully subtyped. Microbiology laboratories put individual reports into inaccessible paper or mutually incompatible electronic reporting systems, but those from more than 2,200 laboratories in more than 108 countries worldwide are now accessed and translated into compatible WHONET files. These increasingly web-based files could initiate a global microbial sensor network. Unused microbiology laboratory byproduct data, now from drug susceptibility and biochemical testing but increasingly from new technologies (genotyping, MALDI-TOF, etc.), can be reused to subtype microbes of each genus/species into sub-groupings that are discriminated and traced with greater sensitivity. Ongoing statistical delineation of subtypes from global sensor network data will improve detection of movement into any patient of a microbe or resistance gene from another patient, medical center or country. Growing data on clinical manifestations and global distributions of subtypes can automate comments for patient's reports, select microbes to genotype and alert responders.

Indexed as

Drug Resistance, BacterialGlobal HealthInformation DisseminationInternational CooperationAnti-Bacterial AgentsBacteriaBacterial InfectionsBacterial Typing TechniquesBostonComputer SystemsDatabases, FactualData CollectionElectronic Health RecordsEpidemiological MonitoringGeographic MappingHospitals, UniversityAnti-Bacterial Agents

Identifiers

PMID24968031
PMCPMC4331131

What OpenQuestion holds

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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.