Evidence map›Paper›PMID 41597564›Full record

ArticleMicroorganisms2025

Assessment of Eravacycline Antimicrobial Susceptibility in China During the First Year Following Regulatory Approval (2023-2024): A Real-World Study.

Qiaolian Yi, Yi Li, Menglan Zhou, Ran Jing, Minya Lu, Yingchun Xu

Abstract read
In one paragraph

Article in Microorganisms, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Qiaolian YiDepartment of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.ORCID 0000-0002-9545-1618
Yi LiDepartment of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Menglan ZhouDepartment of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Ran JingDepartment of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Minya LuDepartment of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yingchun XuDepartment of Laboratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

Funding

Noncommunicable Chronic Diseases-National Science and Technology Major Project 2024ZD0532800Peking Union Medical College Hospital Talent Cultivation Program Category D, UHB12289
6 · The paper itself

Abstract

Eravacycline, a novel fluorocycline antimicrobial, was approved by China's National Medical Products Administration (NMPA) in March 2023; however, clinical breakpoints and real-world data on its use in China remain limited. We conducted a retrospective, questionnaire-based analysis of eravacycline use across 21 provinces in China during the first year after NMPA approval (September 2023-September 2024). Data from 3369 patients who received eravacycline were collected. We analyzed the distribution of pathogens and specimens, reported in vitro susceptibility to eravacycline, imipenem, meropenem, tigecycline, and polymyxins and evaluated microbiological outcomes.

Indexed as

Acinetobacter baumanniiantimicrobial susceptibilityclinical breakpointseravacyclineKlebsiella pneumonia

Identifiers

PMID41597564
PMCPMC12844429

What OpenQuestion holds

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Registered trials

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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.