Evidence map›Paper›PMID 41466763›Full record

ArticleInfection and drug resistance2025

Distribution Features and Antimicrobial Resistance Trends of Clinical Pathogens: A Retrospective Study in a Tertiary Teaching Hospital in East China (2020-2024).

Lili Liu, Yuan Huang, Yunlan Jiang, Yaping Wang, Kang Liu, Zhongxia Pei, Zhiping Li, Yuqiong Zhu, Ji Lu, Xiaoyue Li

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Emergence ofMicrobiology spectrum · 2026
    Article
  2. Article
  3. Review
  4. Rapid and simultaneous detection ofMicrobiology spectrum · 2026
    Article
  5. Article
  6. Article
  7. 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

10 authors.

Lili Liu *Department of Hospital-Acquired Infections, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.ORCID 0009-0007-2047-5133
Yuan Huang *Division of Education and Science, Anqing Municipal Hospital, Anqing, Anhui, People's Republic of China.
Yunlan JiangDepartment of Hospital-Acquired Infections, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.
Yaping WangClinical Laboratory Department, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.
Kang LiuClinical Laboratory Department, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.
Zhongxia PeiDepartment of Hospital-Acquired Infections, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.
Zhiping LiDepartment of Hospital-Acquired Infections, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.
Yuqiong ZhuDepartment of Hospital-Acquired Infections, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.
Ji LuDepartment of Hospital-Acquired Infections, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.
Xiaoyue LiSubdean Office, Anqing First People's Hospital of Anhui Province, Anqing, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To examine the distribution of clinical pathogens and their antimicrobial resistance trends in a hospital in East China to provide evidence for rational antibiotic use and infection control. Methods: We conducted a retrospective study of bacterial isolates from January 2020 to December 2024. Bacterial identification and antimicrobial susceptibility testing were performed using the VITEK 2 system. WHONET 5.6 and R software were used for data analysis. Statistical analyses included chi-square tests and trend tests. Results: A total of 8680 pathogenic isolates were collected. Gram-negative bacteria predominated (74.7%) over Gram-positive bacteria (25.3%). The primary specimens were urine (33.7%), sputum (25.3%), and secretions (19.4%). The leading pathogens were Conclusion:

Indexed as

bacterial resistance surveillancehospital associated infectionmulti-drug resistant organismrational application of antibiotics

Identifiers

PMID41466763
PMCPMC12744584

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.