Evidence map›Paper›PMID 36627920›Full record

ReviewPeerJ2023

Faviola Tavares-Carreon, Karla De Anda-Mora, Idalia C Rojas-Barrera, Angel Andrade

Open access · goldAbstract readReview
In one paragraph

Review in PeerJ, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
10.5field-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

81 citing papers in PubMed, 110 citations in OpenAlex.

  1. Spread of carbapenemase-producingEmerging microbes & infections · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. A standardized workflow for typing S. marcescens outbreaks using FT-IR spectroscopy.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Clinical Analysis ofPathogens (Basel, Switzerland) · 2026
    Article
  11. International journal of molecular sciences · 2026
    Review
  12. From Environmental Organism to Nosocomial Threat:Antibiotics (Basel, Switzerland) · 2026
    Review
  13. Characteristics ofMicroorganisms · 2026
    Article
  14. Article
  15. Article
  16. Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026
    Review
  17. Article
  18. IDCases · 2026
    Article
  19. Clinical and Microbiological Profile ofInfection and drug resistance · 2026
    Article
  20. Molecular Epidemiology of Carbapenem-ResistantInfection and drug resistance · 2026
    Article

21 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

4 authors at 2 institutions in 2 countries.

Faviola Tavares-CarreonFacultad de Ciencias Biológicas, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México.
Karla De Anda-MoraDepartamento de Microbiología, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México.
Idalia C Rojas-BarreraEnvironmental Genomics Group, Max Planck Institute for Evolutionary Biology, Plön, Germany.
Angel AndradeDepartamento de Microbiología, Facultad de Medicina, Universidad Autónoma de Nuevo León, Monterrey, Nuevo León, México.
Universidad Autónoma de Nuevo León · MXKiel University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Serratia InfectionsDisease OutbreaksDrug Resistance, MicrobialHumansInfant, NewbornIntensive Care UnitsSerratia marcescensAcquired resistanceAntimicrobial resistanceIntrinsic resistanceOpportunistic pathogenSerratia marcescens

Identifiers

PMID36627920
PMCPMC9826615
OpenAlexW4313559257

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.