Evidence map›Paper›PMID 34439073›Full record

ArticleAntibiotics (Basel, Switzerland)2021

Synergistic Antibacterial Effects of Meropenem in Combination with Aminoglycosides against Carbapenem-Resistant

Pawarisa Terbtothakun, Ozioma Forstinus Nwabor, Thanyaluck Siriyong, Supayang P Voravuthikunchai, Sarunyou Chusri

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Synergistic Effects of Amikacin With Imipenem and Ciprofloxacin Against Multidrug-Resistance UropathogenicThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Emergence of Carbapenem-ResistantPathogens (Basel, Switzerland) · 2025
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. A review of the mechanisms that confer antibiotic resistance in pathotypes ofFrontiers in cellular and infection microbiology · 2024
    Review
  16. Evaluation of theFrontiers in microbiology · 2024
    Article
  17. Article
  18. Article
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

5 authors.

Pawarisa TerbtothakunDivision of Biological Science, Faculty of Science and Natural Product Research Center of Excellence, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand.ORCID 0000-0003-3016-3049
Ozioma Forstinus NwaborDivision of Infectious Diseases, Department of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand.ORCID 0000-0003-0949-592X
Thanyaluck SiriyongTraditional Thai Medical Research and Innovation Center, Faculty of Traditional Thai Medicine, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand.
Supayang P VoravuthikunchaiDivision of Biological Science, Faculty of Science and Natural Product Research Center of Excellence, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand.
Sarunyou ChusriDivision of Infectious Diseases, Department of Internal Medicine, Faculty of Medicine, Prince of Songkla University, Hat Yai 90110, Songkhla, Thailand.ORCID 0000-0002-3116-2518

Funding

Natioinal Research Council of Thaland (NRCT) RTA6180006
6 · The paper itself

Abstract

Infections due to carbapenem-resistant

Indexed as

aminoglycosidesantibiotic synergismcarbapenem-resistant Escherichia colicombination therapyESBL genes

Identifiers

PMID34439073
PMCPMC8388987

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.