Evidence map›Paper›PMID 39299261›Full record

ArticleLancet (London, England)2024

Global burden of bacterial antimicrobial resistance 1990-2021: a systematic analysis with forecasts to 2050.

GBD 2021 Antimicrobial Resistance Collaborators

3 registry-linked trialsAbstract read
In one paragraph

Article in Lancet (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 1,722 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1,722citing papers in PubMed, 2 pooled it
–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.

NCT06695832 active not recruitingnot on this map

Adjunctive Fosfomycin for Treatment of Staphylococcus Aureus Bacteraemia: Protocol for a Pooled Post-hoc Analysis of Two Randomised Clinical Trials

TypeobservationalSponsorHospital Universitari de BellvitgeRan2024 to 2025Enrolled369ConditionsStaphylococcus Aureus Bacteremia
NCT07167173 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Predictive Model for Multidrug Resistance in Patients Admitted to the Emergency Department With Sepsis

TypeobservationalSponsorHospital Italiano de Buenos AiresRan2025 to 2025Enrolled10,000ConditionsSepsis, Septic Shock
NCT07619924 early_phase1enrolling by invitationnot on this mapstarted 2025, after this paper: background citation

Randomized Controlled Study on the Safety and Efficacy of Phage Cocktail in the Treatment of Multidrug-Resistant Bacterial Skin Infections

TypeinterventionalSponsorFirst Affiliated Hospital Xi'an Jiaotong UniversityRan2025 to 2028Enrolled150ConditionsPhage Therapy, Bacteriophage Therapy, Skin and Soft Tissue InfectionsArmsBacteriophage Treatment, Placebo treatment using 0.9% normal saline
3 · Its place in the literature

Who cites it

1,722 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  11. Drug-likeness prioritised selection identifies anti-Journal of enzyme inhibition and medicinal chemistry · 2026
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  12. Can we escape from top-priority ESKAPE pathogens?Emerging microbes & infections · 2026
    Review
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  14. Emergence ofVirulence · 2026
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  16. High resolution cryo-EM structure of theJournal of structural biology: X · 2026
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1,662 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

GBD 2021 Antimicrobial Resistance Collaborators

Funding

The Syndemic of Sepsis, Multimorbidity, Aging, and Low Healthcare Access and Quality in the United StatesK23GM141463 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RUDD, KRISTINA ELIZABETH · 2021 to 2025
$921k
NIGMS NIH HHS K23 GM141463Wellcome Trust
6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) poses an important global health challenge in the 21st century. A previous study has quantified the global and regional burden of AMR for 2019, followed with additional publications that provided more detailed estimates for several WHO regions by country. To date, there have been no studies that produce comprehensive estimates of AMR burden across locations that encompass historical trends and future forecasts.

methodsWe estimated all-age and age-specific deaths and disability-adjusted life-years (DALYs) attributable to and associated with bacterial AMR for 22 pathogens, 84 pathogen-drug combinations, and 11 infectious syndromes in 204 countries and territories from 1990 to 2021. We collected and used multiple cause of death data, hospital discharge data, microbiology data, literature studies, single drug resistance profiles, pharmaceutical sales, antibiotic use surveys, mortality surveillance, linkage data, outpatient and inpatient insurance claims data, and previously published data, covering 520 million individual records or isolates and 19 513 study-location-years. We used statistical modelling to produce estimates of AMR burden for all locations, including those with no data. Our approach leverages the estimation of five broad component quantities: the number of deaths involving sepsis; the proportion of infectious deaths attributable to a given infectious syndrome; the proportion of infectious syndrome deaths attributable to a given pathogen; the percentage of a given pathogen resistant to an antibiotic of interest; and the excess risk of death or duration of an infection associated with this resistance. Using these components, we estimated disease burden attributable to and associated with AMR, which we define based on two counterfactuals; respectively, an alternative scenario in which all drug-resistant infections are replaced by drug-susceptible infections, and an alternative scenario in which all drug-resistant infections were replaced by no infection. Additionally, we produced global and regional forecasts of AMR burden until 2050 for three scenarios: a reference scenario that is a probabilistic forecast of the most likely future; a Gram-negative drug scenario that assumes future drug development that targets Gram-negative pathogens; and a better care scenario that assumes future improvements in health-care quality and access to appropriate antimicrobials. We present final estimates aggregated to the global, super-regional, and regional level.

findingsIn 2021, we estimated 4·71 million (95% UI 4·23-5·19) deaths were associated with bacterial AMR, including 1·14 million (1·00-1·28) deaths attributable to bacterial AMR. Trends in AMR mortality over the past 31 years varied substantially by age and location. From 1990 to 2021, deaths from AMR decreased by more than 50% among children younger than 5 years yet increased by over 80% for adults 70 years and older. AMR mortality decreased for children younger than 5 years in all super-regions, whereas AMR mortality in people 5 years and older increased in all super-regions. For both deaths associated with and deaths attributable to AMR, meticillin-resistant Staphylococcus aureus increased the most globally (from 261 000 associated deaths [95% UI 150 000-372 000] and 57 200 attributable deaths [34 100-80 300] in 1990, to 550 000 associated deaths [500 000-600 000] and 130 000 attributable deaths [113 000-146 000] in 2021). Among Gram-negative bacteria, resistance to carbapenems increased more than any other antibiotic class, rising from 619 000 associated deaths (405 000-834 000) in 1990, to 1·03 million associated deaths (909 000-1·16 million) in 2021, and from 127 000 attributable deaths (82 100-171 000) in 1990, to 216 000 (168 000-264 000) attributable deaths in 2021. There was a notable decrease in non-COVID-related infectious disease in 2020 and 2021. Our forecasts show that an estimated 1·91 million (1·56-2·26) deaths attributable to AMR and 8·22 million (6·85-9·65) deaths associated with AMR could occur globally in 2050. Super-regions with the highest all-age AMR mortality rate in 2050 are forecasted to be south Asia and Latin America and the Caribbean. Increases in deaths attributable to AMR will be largest among those 70 years and older (65·9% [61·2-69·8] of all-age deaths attributable to AMR in 2050). In stark contrast to the strong increase in number of deaths due to AMR of 69·6% (51·5-89·2) from 2022 to 2050, the number of DALYs showed a much smaller increase of 9·4% (-6·9 to 29·0) to 46·5 million (37·7 to 57·3) in 2050. Under the better care scenario, across all age groups, 92·0 million deaths (82·8-102·0) could be cumulatively averted between 2025 and 2050, through better care of severe infections and improved access to antibiotics, and under the Gram-negative drug scenario, 11·1 million AMR deaths (9·08-13·2) could be averted through the development of a Gram-negative drug pipeline to prevent AMR deaths.

interpretationThis study presents the first comprehensive assessment of the global burden of AMR from 1990 to 2021, with results forecasted until 2050. Evaluating changing trends in AMR mortality across time and location is necessary to understand how this important global health threat is developing and prepares us to make informed decisions regarding interventions. Our findings show the importance of infection prevention, as shown by the reduction of AMR deaths in those younger than 5 years. Simultaneously, our results underscore the concerning trend of AMR burden among those older than 70 years, alongside a rapidly ageing global community. The opposing trends in the burden of AMR deaths between younger and older individuals explains the moderate future increase in global number of DALYs versus number of deaths. Given the high variability of AMR burden by location and age, it is important that interventions combine infection prevention, vaccination, minimisation of inappropriate antibiotic use in farming and humans, and research into new antibiotics to mitigate the number of AMR deaths that are forecasted for 2050.

fundingUK Department of Health and Social Care's Fleming Fund using UK aid, and the Wellcome Trust.

Indexed as

Anti-Bacterial AgentsBacterial InfectionsDrug Resistance, BacterialForecastingGlobal HealthAdolescentAdultAgedChildChild, PreschoolDisability-Adjusted Life YearsFemaleHumansInfantMaleMiddle AgedAnti-Bacterial Agents

Identifiers

PMID39299261
PMCPMC11718157

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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 Socratic graph.