Evidence map›Paper›PMID 37582726›Full record

SynthesisBMC infectious diseases2023

Prevalence of gram-negative bacteria and their antibiotic resistance in neonatal sepsis in Iran: a systematic review and meta-analysis.

Nazila Moftian, Peyman Rezaei-Hachesu, Morteza Arab-Zozani, Taha Samad-Soltani, Atefeh Esfandiari, Mohammad Saleh Tabib, Kayvan Mirnia

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
6.4field-weighted citation impact, top 3% of its field
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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

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  4. Risk factors for multidrug resistance and mortality in healthcare-associated neonatal gram-negative bloodstream infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
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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 at 4 institutions in 1 country.

Nazila MoftianDepartment of Health Information Technology, Faculty of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Peyman Rezaei-HachesuDepartment of Health Information Technology, Faculty of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Morteza Arab-ZozaniSocial Determinants of Health Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Taha Samad-SoltaniDepartment of Health Information Technology, Faculty of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran.
Atefeh EsfandiariDepartment of Health Policy & Management, Faculty of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran.
Mohammad Saleh TabibDepartment of Pediatrics, School of Medicine, Bushehr University of Medical Sciences, Bushehr, Iran.
Kayvan MirniaChildren Medical Center, Tehran University of Medical Sciences, Tehran Province, Keshavarz Blvd, P94M+85P, Tehran, 14197 33151, Iran. kayvanmirnia@yahoo.com.
Tabriz University of Medical Sciences · IRBushehr University of Medical Sciences · IRBirjand University of Medical Sciences · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeonatal sepsis, particularly gram-negative (GN) bacteria-induced, is a significant cause of morbidity and mortality in newborns. Healthcare professionals find this issue challenging because of antibiotic resistance. This study aims to combine findings to identify the prevalence of GN bacteria and their antibiotic resistance in Iranian neonates with sepsis.

methodsThis systematic review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The literature search was performed through international databases, including (PubMed/MEDLINE, EMBASE, Scopus, and Web of Science), Iranian local databases (Magiran, Iranmedex, Irandoc, Scimed, and SID), and the first 100 records of Google Scholar. Analytical cross-sectional study checklist from the Joanna Briggs Institute (JBI) was used for the quality assessment of included studies. Comprehensive Meta-Analysis Software Version 2 was used to conduct the meta-analysis. The between-study heterogeneity was investigated by I

resultsThe prevalence of GN bacteria was estimated to be 53.6% [95% CI: 45.9- 61.1: P = 0.362] in Iranian neonates with sepsis, based on 31 studies with a sample size of 104,566. klebsiella pneumoniae (K.pneumonia) (23.2% [95% CI: 17.5-30.0, P < 0.001]) followed by Escherichia coli (E.coli) (13.5% [95% CI: 9.4-18.9, P < 0.001]) were more prevalent among GN bacteria. The highest resistance in K.pneumoniae was observed in Cefixime (80.6%, [95% CI: 56.3-93.1, P = 0.018]). E.coli showed greater resistance to Ampicillin (61.8%, [95% CI: 44.2-76.5, P = 0.188]. The prevalence of GN bacteria in Iranian neonates with sepsis has a decreasing trend based on the year, as shown by a meta-regression model (P < 0.0004).

conclusionGN pathogens, particularly K.pneumoniae, and E.coli, are the leading cause of neonatal sepsis in Iran. GN bacteria showed the highest resistance to Third-generation cephalosporin and Aminoglycosides.

Indexed as

Neonatal SepsisCross-Sectional StudiesDrug Resistance, MicrobialEscherichia coliGram-Negative BacteriaHumansInfant, NewbornIranKlebsiella pneumoniaePrevalenceAntibiotic resistanceGram-negative bacteriaInfection diseasesMorbidityNeonatal sepsisPrevalence rateSystematic review or meta-analysis

Identifiers

PMID37582726
PMCPMC10426195
OpenAlexW4385837117

What OpenQuestion holds

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LicenceCC BY
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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.