Evidence map›Paper›PMID 34750426›Full record

ArticleScientific reports2021

A study of sex difference in infant mortality in UK pediatric intensive care admissions over an 11-year period.

Ofran Almossawi, Scott O'Brien, Roger Parslow, Simon Nadel, Luigi Palla

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-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

7 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Ofran AlmossawiDepartment of Population, Policy and Practice, GOS UCL Institute of Child Health, London, WC1N EH1, UK. o.almossawi@ucl.ac.uk.
Scott O'BrienPaediatric Intensive Care Unit, Imperial College Healthcare NHS Trust, London, UK.
Roger ParslowLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Simon NadelPaediatric Intensive Care Unit, Imperial College Healthcare NHS Trust, London, UK.
Luigi PallaDepartment of Public Health and Infectious Diseases, University of Rome La Sapienza, Rome, Italy. luigi.palla@uniroma1.it.
Imperial College Healthcare NHS Trust · GBGreat Ormond Street Hospital · GBSapienza University of Rome · ITUniversity of Leeds · GB

Funding

Department of Health ICA-CDRF-2018-04-ST2-049National Institute for Health Research ICA-CDRF-2018-04-ST2-049
6 · The paper itself

Abstract

Within the UK, child mortality from all causes has declined for all ages over the last three decades. However, distinct inequality remains, as child mortality rates are generally found to be higher in males. A significant proportion of childhood deaths in the UK occur in Paediatric Intensive Care Units (PICU). We studied the association of sex with infant mortality in PICUs. We included all infants (0 to 12 months old) admitted to UK PICUs from 01/01/2005 to 31/12/2015 using the Paediatric Intensive Care Audit Network (PICANet) dataset. We considered first admissions to PICU and fitted a cause-specific-hazard-ratio (CSHR) model, and a logistic model to estimate the adjusted association between sex and mortality in PICU. Pre-defined subgroups were children less than 56-days old, and those with a primary diagnosis of infection. Of 71,243 cases, 1,411/29,520 (4.8%) of females, and 1,809/41,723 (4.3%) of males died. The adjusted male/female CSHR was 0.87 (95%-CI 0.81 to 0.92) representing a 13% higher risk of death for females. The adjusted OR for male to female mortality is 0.86 (95%-CI 0.80 to 0.93). Analyses in subgroups yielded similar findings. In our analysis, female infants have a higher rate of PICU mortality compared to male infants.

Indexed as

Infant MortalityIntensive Care Units, PediatricDatabases, FactualFemaleHumansInfantInfant, NewbornLogistic ModelsMaleOdds RatioProportional Hazards ModelsRisk FactorsSex FactorsUnited Kingdom

Identifiers

PMID34750426
PMCPMC8575897
OpenAlexW3214139040

What OpenQuestion holds

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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.