Evidence map›Paper›PMID 41457997›Full record

ArticleInfection and drug resistance2025

Antimicrobial Resistance Profiles of Bacterial Conjunctivitis Isolates from a Secondary Hospital in Shanghai: A 5-Year Retrospective Study (2020-2024).

Weihong Xu, YiTing Yao, Yifei Jia, LiLun Jiang, Lei Li, Yunqi Pan, Yanan Lai

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 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. Short peptide 803sp inhibits the inflammatory response induced byFrontiers in cellular and infection microbiology · 2026
    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

7 authors.

Weihong XuDepartment of Clinical Laboratory, Shibei Hospital, Shanghai, People's Republic of China.
YiTing YaoDepartment of Clinical Laboratory, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Yifei JiaDepartment of Clinical Laboratory, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
LiLun JiangDepartment of Clinical Laboratory, Shibei Hospital, Shanghai, People's Republic of China.
Lei LiDepartment of Clinical Laboratory, Shibei Hospital, Shanghai, People's Republic of China.
Yunqi PanDepartment of Clinical Laboratory, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.
Yanan LaiDepartment of Clinical Laboratory, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To analyze the pathogen distribution, epidemiological characteristics, and antimicrobial resistance patterns of bacterial conjunctivitis in a Shanghai secondary hospital from 2020 to 2024, providing evidence for clinical treatment optimization. Patients and Methods: Conjunctival swab specimens from patients clinically diagnosed with bacterial conjunctivitis were collected between January 2020 and December 2024. Bacterial identification and antimicrobial susceptibility testing were performed using the VITEK 2 Compact system and Kirby-Bauer disk diffusion method, respectively. Statistical analyses were conducted using WHONET 5.6 and SPSS 26.0. Results: Among the 611 specimens, 58 bacterial isolates were identified (9.5% positivity rate). Gram-positive cocci predominated (70.7%, 41/58), primarily Conclusion: Gram-positive cocci, particularly

Indexed as

bacterial pathogensdrug resistanceeye infectionsmicrobial sensitivityseasonal variation

Identifiers

PMID41457997
PMCPMC12743327

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.