ArticleScientific reports2025
Panel data analysis of spatial effects carbapenem-resistant organisms in mainland China.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Spatiotemporal dynamics and multiple driving factors of antimicrobial resistance in China during the COVID-19 pandemic (2019-2023): a provincial panel data analysis.Antimicrobial agents and chemotherapy · 2026Article
- Economic Burden of Carbapenem-Resistant Organisms in Critically Ill Patients: A Multicenter, Retrospective Cohort Study.Infection and drug resistance · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Carbapenem-Resistant Organisms (CROs) pose a serious threat to human health, which is a significant concern and urgently requires further research. However, the spatial effects of CROs are under explored. Data were obtained from the China Antimicrobial Resistance Surveillance System, covering the prevalence of carbapenem-resistant Klebsiella pneumoniae (CRKP), Pseudomonas aeruginosa (CRPA), and Acinetobacter baumannii (CRAB) in 30 provinces from 2014 to 2023.Spatial Durbin Model (SDM) and effect decomposition were used to determine the spatial effects of CROs and their influencing factors including urbanization rate (UR), the number of health institutions (HOS), annual GDP per capita (PGDP), annual pesticide usage (PUSE) and PM
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Registered trials
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.