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Record W2990627574 · doi:10.4103/jgid.jgid_178_18

State of the globe: Antimicrobial resistance: Need for de-compartmentalization of action

2019· editorial· en· W2990627574 on OpenAlexaboutno aff
SunilKumar Raina

Bibliographic record

VenueJournal of Global Infectious Diseases · 2019
Typeeditorial
Languageen
FieldImmunology and Microbiology
TopicAntibiotic Use and Resistance
Canadian institutionsnot available
Fundersnot available
KeywordsCompartmentalization (fire protection)GlobeAction (physics)State (computer science)AntimicrobialBiologyComputer scienceMicrobiologyNeurosciencePhysicsAlgorithm

Abstract

fetched live from OpenAlex

“If we fail to act, we are looking at an almost unthinkable scenario where antibiotics no longer work and we are cast back into the dark ages of medicine.” These remarks by David Cameron, former United Kingdom Prime Minister in response to the Review on Antimicrobial Resistance (AMR), commissioned in July 2014 by the UK Government to analyze the global problem of rising drug resistance and propose concrete actions to tackle it internationally, perhaps best define the public health importance of AMR.[1] Resistant microorganisms, sometimes referred to as “superbugs,” are cause for about 558,000 people (range, 483,000–639,000) developing resistance to rifampicin-tuberculosis (RR-TB), the most effective first-line drug, 82% of these developing multidrug-resistant TB (MDR-TB) across the world in the year 2017.[2]Drug resistance is starting to complicate the fight against HIV and malaria, in addition to other public health problems. As per the estimates, among cases of MDR-TB in 2017, 8.5% (95% confidence interval, 6.2%–11%) were estimated to have extensively drug-resistant TB (XDR-TB).[2] AMR is a serious threat to prevention and effective treatment of an ever-increasing range of infections caused by bacteria, parasites, viruses, and fungi. Without effective antibiotics, the success of major medical and surgical interventions will stand compromised thereby leading to an increase in morbidity, mortality, and disability due to procedures such as organ transplantation and cancer chemotherapy.[3]This will also complicate the management of noncommunicable disease such as diabetes management. From health economics, point-of-view AMR will increase the cost of health care with lengthier stays in hospitals and more intensive care requirements. AMR is threatening to offset the gains made by the Millennium Development Goals and raising doubts about achievement of the Sustainable Development Goals.[3] Although AMR is known to occur naturally over time, usually through genetic changes, the overuse and misuse of antimicrobials is accelerating this process. The worst part of this story is that this overuse and misuse is not limited to humans only. The extent of AMR in animals is also on the increase. Some of the common examples include the use of antibiotics in viral infections such as colds and flu in humans and use as growth promoters in animals.[4]As a result, antimicrobial-resistant microbes are found in people, animals, food, and the environment (in water, soil, and air). These microbes can spread from humans to animals and vice versa, to humans from food of animal origin, and from humans to other human beings. AMR is a global phenomenon. Key examples are (1) Klebsiella pneumoniae – even though the last resort treatment for K. pneumoniae across the world now is carbapenem antibiotics in some countries, because of resistance, carbapenem antibiotics do not work in more than half of people treated for K. pneumoniae infections; (2) treatment with fluoroquinolone antibiotics for Escherichia coli in many parts of the world is now ineffective in more than half of patients; (3) resistance for gonorrhea has been confirmed in at least 10 countries (Australia, Austria, Canada, France, Japan, Norway, Slovenia, South Africa, Sweden, and the United Kingdom of Great Britain and Northern Ireland); and (4) methicillin-resistant Staphylococcus aureus. However, probably, one of the most worrisome will continue to resistance in TB. Emergence of XDR-TB is making the matters worse as an estimated 9.7% of people with MDR-TB have XDR-TB. AMR is a complex problem across the globe, in humans, animals, and the environment. Therefore, compartmentalized and isolated interventions will have a limited impact. Compartmentalized approaches will prevent governments from delivering the coordinated care that is necessary to tackle AMR. Probably sensing this, the WHO is providing technical assistance to help countries develop their national action plans. The idea is to help governments strengthen their health and surveillance systems to prevent and manage AMR. In addition, the WHO is also working closely with the Food and Agriculture Organization of the United Nations and the World Organization for Animal Health. This initiative, a part of its “One Health” approach, is to promote best practices to avoid the emergence and spread of antibiotic resistance and includes promoting optimal use of antibiotics in both humans and animals. Article by Iyer V, et al on antimicrobial resistance surveillance in typhoidal Salmonella in Ahmedabad is in line with the broader ojective of reducing global antimicrobial resistance.[5] On the positive side, the endorsement by the Heads of State at the United Nations General Assembly in New York in September 2016 signaled the world's commitment to initiate a broad, coordinated approach to address AMR across multiple sectors, especially human health, animal health, and agriculture. What however will need to be seen is the extent of political will on the part of individual countries to follow up on their endorsements.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.664
Threshold uncertainty score0.591

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.268
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2019
Admission routes1
Has abstractyes

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