Evidence map›Paper›PMID 39928809›Full record

ArticleMedicine2025

Clinical analysis of 101 cases of infectious endophthalmitis.

Shanshan Li, Xianfeng Song, Xu Wang, Xing Du, Zhen Yang, Yuan Tao

Abstract read
In one paragraph

Article in Medicine, 2025. 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

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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

6 authors.

Shanshan LiDepartment of Ophthalmology, Jinan Second People's Hospital, Jinan, China.
Xianfeng Song
Xu Wang
Xing Du
Yuan Tao

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to analyze the pathogenesis, clinical features, and treatment of infectious endophthalmitis and provide reference data for its prevention and treatment. The study retrospectively analyzed 101 cases of infectious endophthalmitis patients who received treatment at the Second People's Hospital of Jinan from January 2020 to December 2022, including pathogenic factors, microbiology, treatment, and prognosis of the patients. We found that traumatic endophthalmitis accounted for 48.51% of all cases, with iron foreign bodies being the leading cause of injury, while postoperative endophthalmitis after intraocular surgery accounted for 32.67% of all cases, with cataract surgery being the leading cause. The improvement in posttreatment visual acuity varied significantly among different causes of pathogenesis, with intraocular surgery showing the most improvement. In particular, postcataract surgery endophthalmitis showed better improvement than noncataract surgery-related endophthalmitis. Staphylococcus epidermidis was the main pathogenic bacteria causing infectious endophthalmitis, followed by fungi. Vitrectomy and intravitreal injection were the main treatment methods, with pars plana vitrectomy (PPV) + intravitreal injection (IVT) having a longer treatment time than PPV, IVT, or other approaches. In conclusion, this study provided important reference data for the prevention and treatment of infectious endophthalmitis. Traumatic and postoperative endophthalmitis were the most common causes, with iron foreign bodies and cataract surgery being the main contributors, respectively. The improvement in posttreatment visual acuity varied significantly among different causes of pathogenesis, with postcataract surgery endophthalmitis showing better improvement. Staphylococcus epidermidis was the main pathogenic bacteria causing infectious endophthalmitis, and vitrectomy and intravitreal injection were the main treatment methods.

Indexed as

EndophthalmitisEye Infections, BacterialAdolescentAdultAgedCataract ExtractionFemaleHumansIntravitreal InjectionsMaleMiddle AgedPostoperative ComplicationsRetrospective StudiesVisual AcuityVitrectomyYoung Adult

Identifiers

PMID39928809
PMCPMC11812999

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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.