Cited by 8Antibiotic Use and ResistanceAntibiotic Resistance in BacteriaGlobal Health and Surgery

Leaving no one behind: the need for a truly global response to antimicrobial resistance

Open access
Goldberg, Jacob, Clezy, Kate, Jasovský, Dušan, Uyen-Cateriano, Angela·2022·The Lancet Microbe

Abstract

Universal and impartial access to health care for populations at risk is the driving force behind the work of Médecins Sans Frontières (MSF). The COVID-19 pandemic has exposed and magnified entrenched inequities in access to health care in many of the countries where we work. These same inequities also cause harm due to lack of access to life-saving antibiotics and insufficient funding and implementation of plans to respond to antimicrobial resistance (AMR). In low-income and middle-income countries (LMICs), where people already experience a disproportionately high burden of infectious disease, including tuberculosis, HIV, and malaria, the consequences of antibiotic-resistant infections threaten to become catastrophic at an individual, household, and community level.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/s2666-5247(21)00303-7

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Political commitment is a key factor in the successful implementation of NAPs on AMR.

    “Political commitment is a key factor in the successful implementation of NAPs on AMR.198”

    From Antimicrobial Resistance Rates and Surveillance in Sub-Saharan Africa: Where Are We Now? (2022) · cites this paper as [198]

    The main text (page unavailable) discusses NAP implementation, noting that only one in five countries with NAPs has identified funding for it. It also links war and instability to weak health-care systems in countries where no NAPs are being implemented. Neither passage addresses whether political commitment is a key factor in successful implementation; searches for political commitment, political will, and leadership found no such statement. (LLM, conf=0.72)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

No references could be resolved yet.

Research works printed but not linked: 10

  1. O'Neill J. Review on antimicrobial resistance: tackling a crisis for the health and wealth of nations. London: HM Government, 2014.
  2. Bloom G, Merrett GB, Wilkinson A, Lin V, Paulin S. Antimicrobial resistance and universal health coverage. BMJ Glob Health 2017; 2: e000518.
  3. Laxminarayan R, Sridhar D, Blaser M, Wang M, Woolhouse M. Achieving global targets for antimicrobial resistance. Science 2016; 353: 874-75.
  4. Dewachi O, Skelton M, Nguyen V-K, et al. Changing therapeutic geographies of the Iraqi and Syrian wars. Lancet 2014; 383: 449-57.
  5. Raut S, Adhikari B. Global leadership against antimicrobial resistance ought to include developing countries. Lancet Infect Dis 2016; 16: 775.
  6. Fily F, Ronat JB, Malou N, et al. Post-traumatic osteomyelitis in Middle East war-wounded civilians: resistance to first-line antibiotics in selected bacteria over the decade 2006-2016. BMC Infect Dis 2019; 19: 103.
  7. Mulinganya GM, Claeys M, Balolebwami SZ, et al. Etiology of early-onset neonatal sepsis and antibiotic resistance in Bukavu, Democratic Republic of the Congo. Clin Infect Dis 2021; 73: e976-80.
  8. Balikagala B, Fukuda N, Ikeda M, et al. Evidence of artemisinin-resistant malaria in Africa. N Engl J Med 2021; 385: 1163-71.
  9. Piddock LJV, Paccaud JP, O'Brien S, Childs M, Malpani R, Balasegaram M. A non-profit drug development model is part of the AMR solution. Clin Infect Dis 2021; published online Oct 7. https://doi.org/10.1093/cid/ ciab887. · DOI
  10. Ronat JB, Natale A, Kesteman T, et al. AMR in low-resource settings: Médecins Sans Frontières bridges surveillance gaps by developing a turnkey solution, the Mini-Lab. Clin Microbiol Infect 2021; 27: 1414-21.

Cited by

Sorted by citations

Authors
Goldberg, J., Clezy, K., Jasovský, D., & Uyen-Cateriano, A.
Affiliations
  • Médecins Sans Frontières‎ (GB)
  • Médecins Sans Frontières (NL)
  • Médecins Sans Frontières (CH)
Corresponding author
Goldberg, Jacob
Venue
The Lancet Microbe
Publisher
Elsevier BV
Published
2022-01
Volume
3
Issue
1
Pages
e2-e3
ISSN
2666-5247 (ISSN-L)
OpenAlex
W3213856078
Cited by
8
References
0
Citations by year
2025: 1 · 2024: 3 · 2023: 1 · 2022: 3
FWCI
1.04
Type
journal article
Language
en
Open access
Locations
  • The Lancet Microbe (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Global Health and Surgery
Keywords
antimicrobial resistance, health equity, antibiotic access, low- and middle-income countries, Médecins Sans Frontières, COVID-19 pandemic, tuberculosis, HIV, malaria, global health response, leaving no one behind
MeSH terms
Anti-Bacterial Agents, Drug Resistance, Bacterial

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review