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Risk factors of neonatal sepsis in India: A systematic review and meta-analysis

Murthy, Shruti, Godinho, Myron Anthony, Guddattu, Vasudeva, Lewis, Leslie Edward Simon, Nair, N. Sreekumaran·2019·PLOS ONE
DOI 10.1371/journal.pone.0215683PMC PMC6483350
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Figures

Fig 1 A PRISMA chart outlining the study selection results in our review.
Fig 1 A PRISMA chart outlining the study selection results in our review.CC BY · PubMed Central
Fig 2 Forest plot showing a random-effects meta-analysis of male neonates with and without sepsis.
Fig 2 Forest plot showing a random-effects meta-analysis of male neonates with and without sepsis.CC BY · PubMed Central
Fig 3 Forest plot showing a random-effects meta-analysis of outborn neonates with and without sepsis.
Fig 3 Forest plot showing a random-effects meta-analysis of outborn neonates with and without sepsis.CC BY · PubMed Central
Fig 4 Forest plot showing a random-effects meta-analysis of low birth weight neonates with and without sepsis.
Fig 4 Forest plot showing a random-effects meta-analysis of low birth weight neonates with and without sepsis.CC BY · PubMed Central
Fig 5 Forest plot showing a random-effects meta-analysis of standardized mean difference of birth weight of neonates with and without sepsis.
Fig 5 Forest plot showing a random-effects meta-analysis of standardized mean difference of birth weight of neonates with and without sepsis.CC BY · PubMed Central
Fig 6 Forest plot showing a random-effects meta-analysis of neonates resuscitated at birth, with and without sepsis.
Fig 6 Forest plot showing a random-effects meta-analysis of neonates resuscitated at birth, with and without sepsis.CC BY · PubMed Central
Fig 7 Forest plot showing a random-effects meta-analysis of neonates requiring artificial ventilation, with and without sepsis.
Fig 7 Forest plot showing a random-effects meta-analysis of neonates requiring artificial ventilation, with and without sepsis.CC BY · PubMed Central
Fig 8 Forest plot showing a random-effects meta-analysis of neonates, with and without sepsis, born to mothers who delivered at <37 weeks of gestation.
Fig 8 Forest plot showing a random-effects meta-analysis of neonates, with and without sepsis, born to mothers who delivered at <37 weeks of gestation.CC BY · PubMed Central
Fig 9 Forest plot showing a random-effects meta-analysis of gestational age of mothers of neonates with and without sepsis.
Fig 9 Forest plot showing a random-effects meta-analysis of gestational age of mothers of neonates with and without sepsis.CC BY · PubMed Central
Fig 10 Forest plot showing a random-effects meta-analysis of neonates, with and without sepsis, born to mothers who had vaginal delivery.
Fig 10 Forest plot showing a random-effects meta-analysis of neonates, with and without sepsis, born to mothers who had vaginal delivery.CC BY · PubMed Central
Fig 11 Forest plot showing a random-effects meta-analysis of neonates, with and without sepsis, born to mothers with premature rupture of membranes.
Fig 11 Forest plot showing a random-effects meta-analysis of neonates, with and without sepsis, born to mothers with premature rupture of membranes.CC BY · PubMed Central
Fig 12 Forest plot showing random-effects meta-analysis for male neonates with and without sepsis sub-grouped by sepsis diagnostic criteria (9 studies) [IV: Inverse Variance; CI: Confidence Interval].
Fig 12 Forest plot showing random-effects meta-analysis for male neonates with and without sepsis sub-grouped by sepsis diagnostic criteria (9 studies) [IV: Inverse Variance; CI: Confidence Interval].CC BY · PubMed Central
Fig 13 Forest plot showing random-effects meta-analysis for low birth weight (< 2500 grams) neonates with and without sepsis, sub-grouped by study design (4 studies) [IV: Inverse Variance; CI: Confidence Interval].
Fig 13 Forest plot showing random-effects meta-analysis for low birth weight (< 2500 grams) neonates with and without sepsis, sub-grouped by study design (4 studies) [IV: Inverse Variance; CI: Confidence Interval].CC BY · PubMed Central
Fig 14 Forest plot showing random-effects meta-analysis of neonates, with and without sepsis, born to mothers delivering <37 weeks of gestation, sub-grouped by study design (6 studies) [IV: Inverse Variance; CI: Confidence Interval].
Fig 14 Forest plot showing random-effects meta-analysis of neonates, with and without sepsis, born to mothers delivering <37 weeks of gestation, sub-grouped by study design (6 studies) [IV: Inverse Variance; CI: Confidence Interval].CC BY · PubMed Central
Fig 15 Forest plot showing random-effects meta-analysis of male neonates, with and without sepsis, sub-grouped by study quality (9 studies) [IV: Inverse Variance; CI: Confidence Interval].
Fig 15 Forest plot showing random-effects meta-analysis of male neonates, with and without sepsis, sub-grouped by study quality (9 studies) [IV: Inverse Variance; CI: Confidence Interval].CC BY · PubMed Central
Fig 16 Forest plot showing random-effects meta-analysis for low birth weight (< 2500 grams) neonates with and without sepsis, sub-grouped by study quality (4 studies) [IV: Inverse Variance; CI: Confidence Interval].
Fig 16 Forest plot showing random-effects meta-analysis for low birth weight (< 2500 grams) neonates with and without sepsis, sub-grouped by study quality (4 studies) [IV: Inverse Variance; CI: Confidence Interval].CC BY · PubMed Central
Fig 17 Forest plot showing random-effects meta-analysis of neonates, with and without sepsis, born to mothers delivering <37 weeks of gestation, sub-grouped by study quality (7 studies) [IV: Inverse Variance; CI: Confidence Interval].
Fig 17 Forest plot showing random-effects meta-analysis of neonates, with and without sepsis, born to mothers delivering <37 weeks of gestation, sub-grouped by study quality (7 studies) [IV: Inverse Variance; CI: Confidence Interval].CC BY · PubMed Central
Fig 18 Forest plot showing random-effects meta-analysis of neonates, with and without sepsis, born to mothers who delivered vaginally, sub-grouped by study quality (4 studies) [IV: Inverse Variance; CI: Confidence Interval].
Fig 18 Forest plot showing random-effects meta-analysis of neonates, with and without sepsis, born to mothers who delivered vaginally, sub-grouped by study quality (4 studies) [IV: Inverse Variance; CI: Confidence Interval].CC BY · PubMed Central
Fig 19 Funnel plot illustrating publication bias assessment of male gender as a risk factor of neonatal sepsis.
Fig 19 Funnel plot illustrating publication bias assessment of male gender as a risk factor of neonatal sepsis.CC BY · PubMed Central
Fig 20 Funnel plot illustrating publication bias assessment for delivery <37 weeks of gestation as risk factor for neonatal sepsis.
Fig 20 Funnel plot illustrating publication bias assessment for delivery <37 weeks of gestation as risk factor for neonatal sepsis.CC BY · PubMed Central

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Metadata

Authors
Murthy, S., Godinho, M. A., Guddattu, V., Lewis, L. E. S., & Nair, N. S.
ORCID
Venue
PLOS ONE
Publisher
Public Library of Science (PLoS)
Published
2019-04-25
Volume
14
Issue
4
Pages
e0215683
ISSN
1932-6203
DOI
10.1371/journal.pone.0215683
PMC
PMC6483350
Cited by
140
References
5
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (vor)
Funders
International Society for Infectious Diseases (2017 ISID Research Grant)

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Murthy, S., Godinho, M. A., Guddattu, V., Lewis, L. E. S., & Nair, N. S. (2019). Risk factors of neonatal sepsis in India: A systematic review and meta-analysis. PLOS ONE. https://doi.org/10.1371/journal.pone.0215683