Evidence map›Paper›PMID 36095213›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Recurrent emergence of

Joshua L C Wong, Sophia David, Julia Sanchez-Garrido, Jia Z Woo, Wen Wen Low, Fabio Morecchiato, Tommaso Giani, Gian Maria Rossolini, Konstantinos Beis, Stephen J Brett and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. CTX-M variants on the move: Tracking resistance inOne health (Amsterdam, Netherlands) · 2026
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Harnessing interpretable deep learning to predict resistance inFrontiers in cellular and infection microbiology · 2026
    Article
  9. Phenotypic and genome-based characterization ofFrontiers in microbiology · 2026
    Article
  10. Antibiotic Resistance inAntibiotics (Basel, Switzerland) · 2026
    Review
  11. Article
  12. Article
  13. Emergence ofbioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review
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

14 authors at 6 institutions in 3 countries.

Joshua L C WongCentre for Molecular Bacteriology and Infection, Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0001-8437-6731
Sophia DavidCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7LF, United Kingdom.
Julia Sanchez-GarridoCentre for Molecular Bacteriology and Infection, Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0002-5847-4167
Jia Z WooDepartment of Microbiology, Harvard Medical School, Boston, MA 02115.
Wen Wen LowCentre for Molecular Bacteriology and Infection, Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0003-4004-7244
Fabio MorecchiatoDepartment of Experimental and Clinical Medicine, University of Florence, Florence 50134, Italy.ORCID 0000-0003-3785-0554
Tommaso GianiDepartment of Experimental and Clinical Medicine, University of Florence, Florence 50134, Italy.
Gian Maria RossoliniDepartment of Experimental and Clinical Medicine, University of Florence, Florence 50134, Italy.
Konstantinos BeisDepartment of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0001-5727-4721
Stephen J BrettDepartment of Surgery and Cancer, Section of Anaesthetics, Pain Medicine and Intensive Care, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0003-4545-8413
Abigail ClementsCentre for Molecular Bacteriology and Infection, Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0003-2285-777X
David M AanensenCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford OX3 7LF, United Kingdom.
Silvi RouskinDepartment of Microbiology, Harvard Medical School, Boston, MA 02115.
Gad FrankelCentre for Molecular Bacteriology and Infection, Department of Life Sciences, Imperial College London, London SW7 2AZ, United Kingdom.ORCID 0000-0002-0046-1363
Imperial College London · GBCentre for Human Genetics · GBHarvard University · USMarconi University · ITRutherford Appleton Laboratory · GBUniversity of Florence · IT

Funding

Medical Research Council MR/R02671/Medical Research Council MR/R502376/1Wellcome TrustWellcome Trust 107057/Z/15/Z
6 · The paper itself

Abstract

Outer membrane porins in Gram-negative bacteria facilitate antibiotic influx. In

Indexed as

Anti-Bacterial AgentsBacterial Proteinsbeta-Lactam ResistanceCarbapenemsKlebsiella pneumoniaePorinsAnimalsDisease Models, AnimalKlebsiella InfectionsMiceMicrobial Sensitivity TestsMutationPhylogenyPneumonia, BacterialRNA, MessengerAnti-Bacterial AgentsBacterial ProteinsCarbapenemsOmpK36 protein, Klebsiella pneumoniaePorinsRNA, MessengerAntibiotic resistanceCarbapenemsKlebsiella pneumoniaeOuter membrane porinsSynonymous mutations

Identifiers

PMID36095213
PMCPMC9499542
OpenAlexW4295308923

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.