Evidence map›Paper›PMID 29075243›Full record

ArticleFrontiers in microbiology2017

Cecilia Ambrosi, Daniela Scribano, Marta Aleandri, Carlo Zagaglia, Laura Di Francesco, Lorenza Putignani, Anna Teresa Palamara

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

29 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. A decade of genomic and phenotypic adaptation of carbapenem-resistantFrontiers in cellular and infection microbiology · 2025
    Article
  8. Article
  9. Microbiology spectrum · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Genetic Diversity of Antimicrobial Resistance and Key Virulence Features in Two Extensively Drug-ResistantInternational journal of environmental research and public health · 2022
    Article
  16. Whole-genome analysis of carbapenem-resistantComputational and structural biotechnology journal · 2022
    Article
  17. Article
  18. TheFrontiers in molecular biosciences · 2022
    Review
  19. Review
  20. Pathogens (Basel, Switzerland) · 2021
    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

7 authors at 4 institutions in 1 country.

Cecilia AmbrosiDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Daniela ScribanoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Marta AleandriDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Carlo ZagagliaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Laura Di FrancescoUnit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Lorenza PutignaniUnit of Human Microbiome, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy.
Anna Teresa PalamaraDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Laboratory Affiliated to Institute Pasteur Italia, Cenci-Bolognetti Foundation, Rome, Italy.
Sapienza University of Rome · ITBambino Gesù Children's Hospital · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITUniversity of Chieti-Pescara · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Carbapenem-resistant

Indexed as

Acinetobacter baumanniibiofilmhost-pathogen interactionsmotilityoxacillinases

Identifiers

PMID29075243
PMCPMC5643476
OpenAlexW2763579094

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.