Evidence map›Paper›PMID 42205599›Full record

ArticleOpen forum infectious diseases2026

Clinical Characteristics, Antibiotic Resistance Trends, and Associated Molecular Epidemiology Traits in

Keerti Ivaturi, Christine Symes, Mina Farahbakhsh, Sanjula Bhuri, Joshua L Wheatley, Rangaraj Selvarangan, Daniel P Heruth, Susana Chavez-Bueno

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Keerti IvaturiUniversity of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.
Christine SymesDepartment of Pediatrics, Division of Infectious Diseases, Children's Mercy Hospital, Kansas City, Missouri, USA.
Mina FarahbakhshDepartment of Pediatrics, Division of Infectious Diseases, Children's Mercy Hospital, Kansas City, Missouri, USA.
Sanjula BhuriUniversity of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.
Joshua L WheatleyDepartment of Pediatrics, Division of Infectious Diseases, Children's Mercy Hospital, Kansas City, Missouri, USA.ORCID https://orcid.org/0009-0008-3738-6871
Rangaraj SelvaranganDepartment of Pathology and Laboratory Medicine, Children's Mercy Hospital, Kansas City, Missouri, USA.ORCID https://orcid.org/0000-0003-3275-6657
Daniel P HeruthChildren's Mercy Research Institute, Kansas City, Missouri, USA.
Susana Chavez-BuenoUniversity of Missouri-Kansas City School of Medicine, Kansas City, Missouri, USA.ORCID https://orcid.org/0000-0001-8371-5463

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Clinical data and blood Results: Thirty percent of bacteremic newborns were preterm. Mortality was 19% in preterm versus 5% in term infants. Cerebrospinal fluid was collected in 43 (80%); meningitis was diagnosed in 28%. Necrotizing enterocolitis occurred in 2 neonates, both born preterm. Fifty-four percent of isolates were nonsusceptible to ampicillin and 7% to ceftriaxone. Nonsusceptibility to cefazolin increased over time; non-susceptibility rates for gentamicin and tobramycin were 11% for each antibiotic. Whole-genome sequencing showed multiple sequence types (STs), of which ST95 (17%) was the most prevalent, followed by ST69 (11%), ST131 (7%), and ST12 (7%). K1 (43%) and K5 (20%) capsule genes were most prevalent. Conclusions: Mortality from

Indexed as

antibiotic resistancebacteremiaE. colineonatal sepsiswhole genome sequencing

Identifiers

PMID42205599
PMCPMC13202212

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.