Evidence map›Paper›PMID 42827677›Full record

ArticleFrontiers in cellular and infection microbiology2026

Evaluation of eravacycline susceptibility testing by MIC test strip and disk diffusion against broth microdilution in carbapenem-resistant Enterobacterales.

Kangyu Wang, Jinjing Tian, Tingchao Wu, Chunzhong Dong, Xinying Wang, Qiang Feng, Zhijun Zhang

Abstract readEvaluation Study
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kangyu WangTumor Research and Treatment Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China.
Jinjing TianDepartment of Laboratory Medicine, Liaocheng Second People's Hospital, Liaocheng, China.
Tingchao WuDepartment of Laboratory Medicine, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China.
Chunzhong DongDepartment of Laboratory Medicine, Binzhou People's Hospital, Binzhou, China.
Xinying WangDepartment of Laboratory Medicine, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China.
Qiang Feng *Department of Laboratory Medicine, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China.
Zhijun Zhang *Department of Laboratory Medicine, The Affiliated Taian City Central Hospital of Qingdao University, Taian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Eravacycline is a novel fluorocycline with potent activity against carbapenem-resistant Enterobacterales (CRE). However, comparative validation of gradient diffusion (MIC Test Strip, MTS) and disk diffusion (DD) against reference broth microdilution (BMD) specifically in CRE isolates remains limited, particularly under region-specific breakpoint systems. Methods: This study evaluated the performance of the MTS and DD against BMD for eravacycline susceptibility testing in 358 CRE clinical isolates (174 carbapenem-resistant Results: BMD showed MIC Conclusions: Eravacycline retains potent

Indexed as

Anti-Bacterial AgentsCarbapenem-Resistant EnterobacteriaceaeKlebsiella pneumoniaeTetracyclinesCarbapenemsDisk Diffusion Antimicrobial TestsEnterobacteriaceae InfectionsEscherichia coliHumansMicrobial Sensitivity TestsUnited StatesAnti-Bacterial AgentsCarbapenemseravacyclineTetracyclinesbroth microdilutioncarbapenem-resistant Enterobacteralesdisk diffusioneravacyclineMIC test strip

Identifiers

PMID42827677
PMCPMC13630635

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.