Evidence map›Paper›PMID 40579232›Full record

ArticleBMJ paediatrics open2025

Epidemiology of early-onset neonatal sepsis in Qatar, 2015-2022: a multicentre retrospective cohort study.

Anvar Paraparambil Vellamgot, Sajid Thyvilayil Salim, Khalil Salameh, Rajesh Pattu Valappil, Sudheer Babu Kurunthattil Thazhe, Abdurahiman Elikkottil

Erratum issuedAbstract readMulticenter Study
In one paragraph

Article in BMJ paediatrics open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Differential virulence gene carriage inFrontiers in microbiology · 2026
    Article
  2. Review
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Anvar Paraparambil VellamgotPaediatrics, Hamad Medical Corporation, Doha, Qatar AVellamgot@hamad.qa.ORCID http://orcid.org/0000-0002-2776-2588
Sajid Thyvilayil SalimPaediatrics, Hamad Medical Corporation, Doha, Qatar.
Khalil SalamehPaediatrics, Hamad Medical Corporation, Doha, Qatar.
Rajesh Pattu ValappilPaediatrics, Hamad Medical Corporation, Doha, Qatar.
Sudheer Babu Kurunthattil ThazhePaediatrics, Hamad Medical Corporation, Doha, Qatar.
Abdurahiman ElikkottilPediatrics, KIMS Alshifa Super Speciality Hospital, Perinthalmanna, Kerala, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEarly-onset neonatal sepsis (EOS) is an important cause of neonatal morbidity and mortality. The incidence has declined due to intrapartum antibiotic use and improved perinatal care. This study aimed to analyse EOS incidence, pathogen profiles, resistance patterns and neonatal outcomes in Qatar.

objectivesThe primary objective was to estimate the incidence and trend of EOS among neonates born in Qatar from July 2015 to December 2022. Secondary objectives included describing risk factors, clinical characteristics and outcomes associated with EOS. METHODOLOGY: The study reviewed medical records in three major public hospitals in Qatar to identify EOS cases among live-born infants.

resultsThe study analysed 179 147 live births (LBs) and identified 157 cases of EOS, with an overall EOS incidence of 0.88 per 1000 LBs. Group B

conclusionThis study highlights an EOS incidence of 0.88 per 1000 LB in Qatar, a rate comparable to high-income countries. The decline in incidence underscores the effectiveness of improved prenatal care and screening. Continued surveillance and enhanced preventive measures are essential to further reduce incidence and improve outcomes for vulnerable newborns.

Indexed as

Neonatal SepsisFemaleHumansIncidenceInfant MortalityInfant, NewbornMalePregnancyQatarRetrospective StudiesRisk FactorsNeonatology

Identifiers

PMID40579232
PMCPMC12207186

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.