Evidence map›Paper›PMID 26149714›Full record

ReviewNature reviews. Genetics2015

Evolutionary consequences of drug resistance: shared principles across diverse targets and organisms.

Diarmaid Hughes, Dan I Andersson

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 132 papers.

0numbers the graph read from it
0cells of the map it votes in
132citing 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

132 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
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  5. Review
  6. Review
  7. Article
  8. Article
  9. Competitive suppression and release in artemisinin-resistantEvolution, medicine, and public health · 2026
    Article
  10. Molecular detection and prevalence of colistin-resistant Escherichia coli in poultry and humans: a one health perspective.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Matrine Restores Colistin Efficacy AgainstMolecules (Basel, Switzerland) · 2025
    Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Review
  20. Article

72 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

2 authors.

Diarmaid HughesUppsala University, Department of Medical Biochemistry and Microbiology, Biomedical Center, BOX 582S-75123, Uppsala, Sweden.
Dan I AnderssonUppsala University, Department of Medical Biochemistry and Microbiology, Biomedical Center, BOX 582S-75123, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug therapy has a crucial role in the treatment of viral, bacterial, fungal and protozoan infections, as well as the control of human cancer. The success of therapy is being threatened by the increasing prevalence of resistance. We examine and compare mechanisms of drug resistance in these diverse biological systems (using HIV and Plasmodium falciparum as examples of viral and protozoan pathogens, respectively) and discuss how factors — such as mutation rates, fitness effects of resistance, epistasis and clonal interference — influence the evolutionary trajectories of drug-resistant clones. We describe commonalities and differences related to resistance development that could guide strategies to improve therapeutic effectiveness and the development of a new generation of drugs.

Indexed as

Evolution, MolecularModels, BiologicalChromosomal InstabilityDrug ResistanceDrug TherapyEpistasis, GeneticGenetic FitnessHIV-1HumansMutation RateNeoplasmsPlasmodium falciparum

Identifiers

PMID26149714

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.