Evidence map›Paper›PMID 34190572›Full record

ArticleClinical microbiology reviews2021

Evolutionary Pathways and Trajectories in Antibiotic Resistance.

F Baquero, J L Martínez, V F Lanza, J Rodríguez-Beltrán, J C Galán, A San Millán, R Cantón, T M Coque

Open access · greenAbstract read
In one paragraph

Article in Clinical microbiology reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 2 pooled it
24.2field-weighted citation impact, top 1% of its field
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

162 citing papers in PubMed, 2 syntheses or guidelines pooled it, 265 citations in OpenAlex.

  1. Pathogens (Basel, Switzerland) · 2024
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Beyond Resistance Genes:Life (Basel, Switzerland) · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Optimization of pediatric dosing regimens for aztreonam and amoxicillin/clavulanate combination therapy against multidrug-resistant bacteria.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Resolving competing evolutionary histories in joint ancestral state reconstruction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  19. Article
  20. Article

102 more citing papers are in PubMed but not listed here.

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

8 authors at 2 institutions in 1 country.

F BaqueroDepartment of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0002-7930-3033
J L MartínezNational Center for Biotechnology (CNB-CSIC), Madrid, Spain.ORCID 0000-0001-8813-7607
V F LanzaDepartment of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
J Rodríguez-BeltránDepartment of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0003-3014-1229
J C GalánDepartment of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
A San MillánNational Center for Biotechnology (CNB-CSIC), Madrid, Spain.
R CantónDepartment of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.ORCID 0000-0003-1675-3173
T M CoqueDepartment of Microbiology, Ramón y Cajal University Hospital, Ramón y Cajal Institute for Health Research (IRYCIS), Network Center for Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
Instituto Cajal · ESCentro Nacional de Biotecnología · ES

Funding

Consejería de Sanidad, Comunidad de Madrid InGeMICS- B2017/BMD-3691Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) JPIAMR2016-AC16/00043Joint Programming Initiative on Antimicrobial Resistance (JPIAMR) JPIAMR-3rdCallST131TSMEC | Instituto de Salud Carlos III (ISCIII) CB06/02/0053MEC | Instituto de Salud Carlos III (ISCIII) PI15-00466MEC | Instituto de Salud Carlos III (ISCIII) PI18-01942
6 · The paper itself

Abstract

Evolution is the hallmark of life. Descriptions of the evolution of microorganisms have provided a wealth of information, but knowledge regarding "what happened" has precluded a deeper understanding of "how" evolution has proceeded, as in the case of antimicrobial resistance. The difficulty in answering the "how" question lies in the multihierarchical dimensions of evolutionary processes, nested in complex networks, encompassing all units of selection, from genes to communities and ecosystems. At the simplest ontological level (as resistance genes), evolution proceeds by random (mutation and drift) and directional (natural selection) processes; however, sequential pathways of adaptive variation can occasionally be observed, and under fixed circumstances (particular fitness landscapes), evolution is predictable. At the highest level (such as that of plasmids, clones, species, microbiotas), the systems' degrees of freedom increase dramatically, related to the variable dispersal, fragmentation, relatedness, or coalescence of bacterial populations, depending on heterogeneous and changing niches and selective gradients in complex environments. Evolutionary trajectories of antibiotic resistance find their way in these changing landscapes subjected to random variations, becoming highly entropic and therefore unpredictable. However, experimental, phylogenetic, and ecogenetic analyses reveal preferential frequented paths (highways) where antibiotic resistance flows and propagates, allowing some understanding of evolutionary dynamics, modeling and designing interventions. Studies on antibiotic resistance have an applied aspect in improving individual health, One Health, and Global Health, as well as an academic value for understanding evolution. Most importantly, they have a heuristic significance as a model to reduce the negative influence of anthropogenic effects on the environment.

Indexed as

EcosystemSelection, GeneticAnti-Bacterial AgentsBacteriaDrug Resistance, MicrobialMutationPhylogenyAnti-Bacterial Agentsantibiotic resistanceevolutionary biologyevolutionary pathwaysevolutionary trajectoriespathwaystrajectories

Identifiers

PMID34190572
PMCPMC8404696
OpenAlexW3175889552

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.