Evidence map›Paper›PMID 28030608›Full record

ArticlePloS one2016

Predicting Hospitalised Paediatric Pneumonia Mortality Risk: An External Validation of RISC and mRISC, and Local Tool Development (RISC-Malawi) from Malawi.

Shubhada Hooli, Tim Colbourn, Norman Lufesi, Anthony Costello, Bejoy Nambiar, Satid Thammasitboon, Charles Makwenda, Charles Mwansambo, Eric D McCollum, Carina King

Erratum issued Registry-linked trialAbstract readValidation Study
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06176664 (Oxygen Therapy for Children With Moderate Hypoxemia in Malawi), which is not on this map. Cited by 57 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 6 pooled it
–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.

NCT06176664 nacompletednot on this mapstarted 2024, after this paper: background citation

Oxygen Therapy for Children With Moderate Hypoxemia in Malawi: Pilot Randomized Control Trial

TypeinterventionalSponsorJohns Hopkins UniversityRan2024 to 2024Enrolled21ConditionsPneumoniaArmsLow flow oxygen, High-flow nasal cannula oxygen
3 · Its place in the literature

Who cites it

57 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Shubhada HooliDepartment of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, United States of America.ORCID http://orcid.org/0000-0003-4596-448X
Tim ColbournInstitute for Global Health, University College London, London, United Kingdom.
Norman LufesiMinistry of Health, Lilongwe, Malawi.
Anthony CostelloInstitute for Global Health, University College London, London, United Kingdom.
Bejoy NambiarInstitute for Global Health, University College London, London, United Kingdom.
Satid ThammasitboonDepartment of Pediatrics, Section of Critical Care Medicine, Baylor College of Medicine and Texas Children's Hospital, Houston, United States of America.
Charles MakwendaParent and Child Health Initiative, Lilongwe, Malawi.
Charles MwansamboMinistry of Health, Lilongwe, Malawi.
Eric D McCollumInstitute for Global Health, University College London, London, United Kingdom.
Carina KingInstitute for Global Health, University College London, London, United Kingdom.

Funding

Multidisciplinary Training Program in Pediatric PulmonaryT32HL072748 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI Joseph Michael Collaco · 2003 to 2026
$6.1M
Pulse oximetry for childhood pneumonia in rural BangladeshK01TW009988 · FIC · JOHNS HOPKINS UNIVERSITY · PI MCCOLLUM, ERIC DOUGLASS · 2014 to 2018
$704k
FIC NIH HHS K01 TW009988NHLBI NIH HHS T32 HL072748
6 · The paper itself

Abstract

backgroundPneumonia is the leading infectious cause of under-5 mortality in sub-Saharan Africa. Clinical prediction tools may aide case classification, triage, and allocation of hospital resources. We performed an external validation of two published prediction tools and compared this to a locally developed tool to identify children admitted with pneumonia at increased risk for in-hospital mortality in Malawi.

methodsWe retrospectively analyzed the performance of the Respiratory Index of Severity in Children (RISC) and modified RISC (mRISC) scores in a child pneumonia dataset prospectively collected during routine care at seven hospitals in Malawi between 2011-2014. RISC has both an HIV-infected and HIV-uninfected tool. A local score (RISC-Malawi) was developed using multivariable logistic regression with missing data multiply imputed using chained equations. Score performances were assessed using c-statistics, sensitivity, specificity, positive predictive value, negative predictive value, and likelihood statistics.

results16,475 in-patient pneumonia episodes were recorded (case-fatality rate (CFR): 3.2%), 9,533 with complete data (CFR: 2.0%). The c-statistic for the RISC (HIV-uninfected) score, used to assess its ability to differentiate between children who survived to discharge and those that died, was 0.72. The RISC-Malawi score, using mid-upper arm circumference as an indicator of malnutrition severity, had a c-statistic of 0.79. We were unable to perform a comprehensive external validation of RISC (HIV-infected) and mRISC as both scores include parameters that were not routinely documented variables in our dataset.

conclusionIn our population of Malawian children with WHO-defined pneumonia, the RISC (HIV-uninfected) score identified those at high risk for in-hospital mortality. However the refinement of parameters and resultant creation of RISC-Malawi improved performance. Next steps include prospectively studying both scores to determine if incorporation into routine care delivery can have a meaningful impact on in-hospital CFRs of children with WHO-defined pneumonia.

Indexed as

Hospital MortalitySeverity of Illness IndexFemaleHumansInfantInfant, NewbornMalawiMalePneumoniaRetrospective StudiesRisk Assessment

Identifiers

PMID28030608
PMCPMC5193399

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Registered trials

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.