Evidence map›Paper›PMID 22424234›Full record

ReviewCell2012

Outwitting evolution: fighting drug-resistant TB, malaria, and HIV.

Daniel E Goldberg, Robert F Siliciano, William R Jacobs

Abstract readReview
In one paragraph

Review in Cell, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed, 1 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.

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

87 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Stochastic Evolutionary Control in Heterogeneous Populations.bioRxiv : the preprint server for biology · 2026
    Article
  4. Article
  5. Article
  6. Review
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  8. The impact of treatment strategies on the epidemiological dynamics of plasmid-conferred antibiotic resistance.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. Article
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  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. PD-1Frontiers in immunology · 2022
    Article

27 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

3 authors.

Daniel E GoldbergDepartment of Medicine and Howard Hughes Medical Institute, Washington University School of Medicine, St. Louis, MO 63110, USA.
Robert F Siliciano
William R Jacobs

Funding

Immunology/Pathology CoreP30AI051519 · NIAID · YESHIVA UNIVERSITY · PI GOLDSTEIN, HARRIS · 2003 to 2013
$18.6M
Intermolecular cooperativity in the action of antiviral agentsR01AI081600 · NIAID · JOHNS HOPKINS UNIVERSITY · PI SILICIANO, ROBERT F · 2009 to 2013
$1.4M
Howard Hughes Medical InstituteNIAID NIH HHS AI081600NIAID NIH HHS AI51519NIAID NIH HHS R01 AI081600
6 · The paper itself

Abstract

Although caused by vastly different pathogens, the world's three most serious infectious diseases, tuberculosis, malaria, and HIV-1 infection, share the common problem of drug resistance. The pace of drug development has been very slow for tuberculosis and malaria and rapid for HIV-1. But for each disease, resistance to most drugs has appeared quickly after the introduction of the drug. Learning how to manage and prevent resistance is a major medical challenge that requires an understanding of the evolutionary dynamics of each pathogen. This Review summarizes the similarities and differences in the evolution of drug resistance for these three pathogens.

Indexed as

Drug ResistanceAnimalsDisease Models, AnimalHIV-1HIV InfectionsHumansMalariaMycobacterium tuberculosisPlasmodiumTuberculosis

Identifiers

PMID22424234
PMCPMC3322542

What OpenQuestion holds

Textmetadata
LicenceTDM
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.