Evidence map›Paper›PMID 34223078›Full record

ArticleJAC-antimicrobial resistance2021

Collective assessment of antimicrobial susceptibility among the most common Gram-negative respiratory pathogens driving therapy in the ICU.

Pamela A Moise, Marcela Gonzalez, Irina Alekseeva, Diego Lopez, Brune Akrich, C Andrew DeRyke, Wei-Ting Chen, Jacqueline Pavia, Brandon Palermo, Meredith Hackel and 1 more

Open access · goldAbstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Difficult-to-TreatAntibiotics (Basel, Switzerland) · 2025
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Antimicrobial Treatment ofAntibiotics (Basel, Switzerland) · 2022
    Review
  12. Article
  13. 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

11 authors at 2 institutions in 2 countries.

Pamela A MoiseMerck & Co., Inc, Kenilworth, NJ, USA.
Marcela GonzalezMSD Spain, Madrid, Spain.
Irina AlekseevaMSD Dubai, Dubai, United Arab Emirates.
Diego LopezMSD Spain, Madrid, Spain.
Brune AkrichMSD France, Puteaux, France.
C Andrew DeRykeMerck & Co., Inc, Kenilworth, NJ, USA.
Wei-Ting ChenMSD Taiwan, Taipei, Taiwan.
Jacqueline PaviaMSD Colombia, Bogota, Colombia.
Brandon PalermoMerck & Co., Inc, Kenilworth, NJ, USA.
Meredith HackelIHMA, Schaumburg, IL, USA.
Mary MotylMerck & Co., Inc, Kenilworth, NJ, USA.
Merck & Co., Inc., Rahway, NJ, USA (United States) · USMSD (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo describe the pathogen predominance and to evaluate the probability of covering the most common Gram-negative pathogens collectively in both empirical and early adjustment prescribing scenarios in ICU patients with respiratory infections.

methodsData were collected from an international cohort of hospitals as part of the SMART Surveillance Program (2018). Susceptibility testing (mg/L) was performed by broth microdilution methods.

results7171 Gram-negative respiratory isolates from adult ICU patients across 209 hospitals from 56 different countries were studied. Overall, the most common ICU respiratory pathogens isolated were

conclusionsCeftolozane/tazobactam demonstrated high cumulative susceptibility levels and

Identifiers

PMID34223078
PMCPMC8209971
OpenAlexW3130281628

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.