Evidence map›Paper›PMID 41212892›Full record

SynthesisPloS one2025

Predicting in-hospital mortality in children in low- and middle-income countries: A systematic review and meta-analysis of vital signs and anthropometric measurements.

Lisanne C A Smits, Myrthe Datema, Wieger P Voskuijl, Moses M Ngari, Mercy Kumwenda, Job C J Calis

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Lisanne C A SmitsAmsterdam UMC, location University of Amsterdam, Amsterdam Institute for Global Child Health, Emma Children's hospital, Amsterdam, The Netherlands.ORCID https://orcid.org/0009-0009-2792-9681
Myrthe DatemaAmsterdam UMC, location University of Amsterdam, Amsterdam Institute for Global Child Health, Emma Children's hospital, Amsterdam, The Netherlands.
Wieger P VoskuijlAmsterdam UMC, location University of Amsterdam, Amsterdam Institute for Global Child Health, Emma Children's hospital, Amsterdam, The Netherlands.
Moses M NgariClinical Research Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Mercy KumwendaDepartment of Paediatrics and Child Health, Kamuzu University of Health Sciences, Blantyre, Malawi.ORCID https://orcid.org/0000-0002-8463-8794
Job C J CalisAmsterdam UMC, location University of Amsterdam, Amsterdam Institute for Global Child Health, Emma Children's hospital, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn low- and middle-income countries (LMICs), child mortality rates remain substantially higher compared to high-income countries, with many deaths preventable through early recognition of deterioration. This systematic review and meta-analysis investigated predictive values of vital signs and anthropometric measurements for paediatric in-hospital mortality in LMICs.

methodsA search of publicly available data in PubMed and OVID Embase was conducted in November 2021 and last updated in March 2025. Studies that reported on oxygen saturation; respiratory rate; heart rate; blood pressure; temperature; mid-upper arm circumference (MUAC); and/or weight-for-height z-score (WHZ), and paediatric in-hospital mortality were included. Neonatal and paediatric intensive care unit (PICU) studies were excluded. Data was extracted by two independent authors. Forest plots presented odds ratios (OR) using random effect models. Newcastle Ottawa Scale assessed risk of bias.

findings104 out of 21,494 yielded studies were included in descriptive analysis and 75 in meta-analysis, encompassing 255,546 children. Associations with in-hospital mortality were observed in hypoxaemia (OR 5.53, 95% CI 4.18-7.30), tachypnoea (OR 1.65, 95% CI 1.16-2.34), tachycardia (OR 1.80, 95% CI 1.22-2.66), bradycardia (OR 3.29, 95% CI 1.38-7.83), hypotension (OR 4.42, 95% CI 2.54-7.70), hyperthermia (OR 1.31, 95% CI 1.04-1.66), hypothermia (OR 3.92, 95% CI 2.76-5.58), low MUAC (OR 3.22, 95% CI 2.12-4.91), and low WHZ (OR 3.19, 95% CI 2.47-4.11).

interpretationSeveral vital signs and anthropometric measurements are strongly associated with in-hospital mortality in children. Hypoxaemia demonstrated the highest odds of mortality, followed by hypotension, hypothermia, bradycardia and severe malnutrition. These findings highlight the need for early recognition and targeted interventions for children presenting with these high-risk signs, to improve outcomes in resource-limited settings and stress the need to monitor vital signs.

fundingNone.

Indexed as

Hospital MortalityVital SignsAnthropometryChildChild MortalityChild, PreschoolDeveloping CountriesHumansInfantInfant, Newborn

Identifiers

PMID41212892
PMCPMC12599941

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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.