Evidence map›Paper›PMID 35961352›Full record

ArticleThe Lancet. Global health2022

Infectious aetiologies of neonatal illness in south Asia classified using WHO definitions: a primary analysis of the ANISA study.

Melissa L Arvay, Nong Shang, Shamim A Qazi, Gary L Darmstadt, Mohammad Shahidul Islam, Daniel E Roth, Anran Liu, Nicholas E Connor, Belal Hossain, Qazi Sadeq-Ur Rahman and 16 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in The Lancet. Global health, 2022. 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 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Observational
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 12 institutions in 7 countries.

Melissa L ArvayDivision of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA; Department of Epidemiology, UNC-Chapel Hill, Chapel Hill, NC, USA. Electronic address: marvay@cdc.gov.
Nong ShangDivision of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Shamim A QaziDepartment of Maternal Newborn Child and Adolescent Health, World Health Organization, Geneva, Switzerland.
Gary L DarmstadtDepartment of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
Mohammad Shahidul IslamChild Health Research Foundation, Dhaka, Bangladesh.
Daniel E RothDepartment of Pediatrics, The Hospital for Sick Children, Toronto, ON, Canada.
Anran LiuDivision of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Nicholas E ConnorChild Health Research Foundation, Dhaka, Bangladesh; Department of Clinical Research, London School of Hygiene & Tropical Medicine, London, UK.
Belal HossainChild Health Research Foundation, Dhaka, Bangladesh.
Qazi Sadeq-Ur RahmanInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Shams El ArifeenInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Luke C MullanyDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Anita K M ZaidiDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Zulfiqar A BhuttaDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan; Center of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan.
Sajid B SoofiDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan; Center of Excellence in Women and Child Health, Aga Khan University, Karachi, Pakistan.
Yasir ShafiqDepartment of Paediatrics and Child Health, Aga Khan University, Karachi, Pakistan.
Abdullah H BaquiDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Dipak K MitraInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.
Pinaki PanigrahiDepartment of Pediatrics, Georgetown University Medical Center, Washington, DC, USA.
Kalpana PanigrahiAIPH University, Bhubaneswar, India.
Anuradha BoseChristian Medical College, Vellore, India.
Rita IsaacChristian Medical College, Vellore, India.
Daniel WestreichDepartment of Epidemiology, UNC-Chapel Hill, Chapel Hill, NC, USA.
Steven R MeshnickDepartment of Epidemiology, UNC-Chapel Hill, Chapel Hill, NC, USA.
Samir K SahaChild Health Research Foundation, Dhaka, Bangladesh.
Stephanie J SchragDivision of Bacterial Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Aga Khan University · PKChild Health Research Foundation · BDCenters for Disease Control and Prevention · USInternational Centre for Diarrhoeal Disease Research · BDUniversity of North Carolina Health Care · USChristian Medical College & Hospital · INJohns Hopkins University · USAsian Institute of Public Health · INGeorgetown University Medical Center · USHospital for Sick Children · CAStanford University · USWorld Health Organization · CH

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundGlobally, neonatal mortality accounts for almost half of all deaths in children younger than 5 years. Aetiological agents of neonatal infection are difficult to identify because the clinical signs are non-specific. Using data from the Aetiology of Neonatal Infections in south Asia (ANISA) cohort, we aimed to describe the spectrum of infectious aetiologies of acute neonatal illness categorised post-hoc using the 2015 WHO case definitions of critical illness, clinical severe infection, and fast breathing only.

methodsEligible infants were aged 0-59 days with possible serious bacterial infection and healthy infants enrolled in the ANISA study in Bangladesh, India, and Pakistan. We applied a partial latent class Bayesian model to estimate the prevalence of 27 pathogens detectable on PCR, pathogens detected by blood culture only, and illness not attributed to any infectious aetiology. Infants with at least one clinical specimen available were included in the analysis. We assessed the prevalence of these aetiologies according to WHO's case definitions of critically ill, clinical severe infection, and infants with late onset, isolated fast breathing. For the clinical severe definition, we compared the prevalence of signs by bacterial versus viral aetiology.

findingsThere were 934 infants (992 episodes) in the critically ill category, 3769 (4000 episodes) in the clinical severe infection category, and 738 (771 episodes) in the late-onset isolated fast breathing category. We estimated the proportion of illness attributable to bacterial infection was 32·7% in infants in the critically ill group, 15·6% in the clinical severe infection group, and 8·8% among infants with late-onset isolated fast breathing group. An infectious aetiology was not identified in 58-82% of infants in these categories. Among 4000 episodes of clinical severe infection, those with bacterial versus viral attribution had higher proportions of hypothermia, movement only when stimulated, convulsions, and poor feeding.

interpretationOur modelled results generally support the revised WHO case definitions, although a revision of the most severe case definition could be considered. Clinical criteria do not clearly differentiate between young infants with and without infectious aetiologies. Our results highlight the need for improved point-of-care diagnostics, and further study into neonatal deaths and episodes with no identified aetiology, to ensure antibiotic stewardship and targeted interventions.

fundingThe Bill and Melinda Gates Foundation.

Indexed as

Bacterial InfectionsCommunicable DiseasesBayes TheoremChildCritical IllnessHumansIndiaInfantInfant, NewbornWorld Health Organization

Identifiers

PMID35961352
PMCPMC9380253
OpenAlexW4291677637

What OpenQuestion holds

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LicenceCC BY
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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.