Evidence map›Paper›PMID 41754461›Full record

ArticlePathogens (Basel, Switzerland)2026

Healthcare-Associated Conjunctivitis in the NICU: Microbiological Spectrum, Antimicrobial Resistance and Treatment Patterns.

Hatice Turgut, Elif Seren Tanrıverdi, Eda Karadoğan, Ramazan Özdemir

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2026. 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. From Environmental Organism to Nosocomial Threat:Antibiotics (Basel, Switzerland) · 2026
    Review
  2. 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

4 authors.

Hatice TurgutDepartment of Pediatrics, Division of Neonatology, Faculty of Medicine, Inonu University, 44280 Malatya, Türkiye.ORCID 0000-0002-0490-7852
Elif Seren TanrıverdiDepartment of Medical Microbiology, Faculty of Medicine, Inonu University, 44000 Malatya, Türkiye.ORCID 0000-0002-0449-0356
Eda KaradoğanDivision of Epidemiology, Antalya Provincial Health Administration, Republic of Turkey Ministry of Health, 07040 Antalya, Türkiye.ORCID 0000-0001-9972-5906
Ramazan ÖzdemirDepartment of Pediatrics, Division of Neonatology, Faculty of Medicine, Inonu University, 44280 Malatya, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare-associated bacterial conjunctivitis is an underrecognized yet preventable infection in neonatal intensive care units (NICUs). This study aimed to determine the incidence, risk factors, microbiological profile, and treatment approaches of healthcare-associated bacterial conjunctivitis in neonates. This descriptive, cross-sectional study included neonates diagnosed with bacterial conjunctivitis and followed in the NICU between January 2019 and January 2024. Pathogens were identified by MALDI-TOF MS and antimicrobial susceptibility determined using VITEK 2 according to EUCAST breakpoints. During the five-year period, 104 (2.5%) of 4107 neonates admitted to the NICU developed healthcare-associated bacterial conjunctivitis. Of the pathogens isolated in cultures, 70.2% were Gram-positive bacteria, with coagulase-negative staphylococci being the most common (52.9%), followed by

Indexed as

Anti-Bacterial AgentsBacteriaConjunctivitis, BacterialCross InfectionDrug Resistance, BacterialIntensive Care Units, NeonatalCross-Sectional StudiesFemaleGram-Positive BacteriaHumansIncidenceInfant, NewbornMaleMicrobial Sensitivity TestsRisk FactorsAnti-Bacterial Agentsantimicrobial resistancefortified eye dropsGram-positive bacteriahealthcare-associated conjunctivitisneonates

Identifiers

PMID41754461
PMCPMC12942792

What OpenQuestion holds

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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 OpenQuestion graph.