Evidence map›Paper›PMID 38505345›Full record

ArticleInternational journal of burns and trauma2024

Estimating mortality risk in burn patients admitted at Rwanda's largest referral hospital.

Ian Shyaka, Elizabeth Miranda, Lotta Velin, Francoise Mukagaju, Yves Nezerwa, Faustin Ntirenganya, Charles Furaha, Robert Riviello, Laura Pompermaier

Open access · bronzeAbstract read
PubMed Full text at PMC
In one paragraph

Article in International journal of burns and trauma, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 1 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

9 authors at 1 institution in 1 country.

Ian ShyakaDepartment of Plastic Surgery, Rwanda Military Hospital Kigali, Rwanda.
Elizabeth MirandaProgram in Global Surgery and Social Change, Harvard Medical School Boston, MA, USA.
Lotta VelinProgram in Global Surgery and Social Change, Harvard Medical School Boston, MA, USA.
Francoise MukagajuDepartment of Plastic Surgery, Rwanda Military Hospital Kigali, Rwanda.
Yves NezerwaDepartment of Plastic Surgery, Rwanda Military Hospital Kigali, Rwanda.
Faustin NtirenganyaDepartment of Plastic Surgery, University Teaching Hospital of Kigali (CHUK) Kigali, Rwanda.
Charles FurahaDepartment of Plastic Surgery, Rwanda Military Hospital Kigali, Rwanda.
Robert RivielloProgram in Global Surgery and Social Change, Harvard Medical School Boston, MA, USA.
Laura PompermaierDepartment of Hand and Plastic Surgery and Burn Center, Linköping University Hospital Sweden.
Rwanda Military Hospital · RW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBurns is a disease of poverty, disproportionately affecting populations in low- and middle-income countries, where most of the injuries and the deaths caused by burns occurs. In Sub-Saharan Africa, it is estimated that one fifth of burn victims die from their injuries. Mortality prediction indexes are used to estimate outcomes after provided burn care, which has been used in burn services of high-income countries over the last 60 years. It remains to be seen whether these are reliable in low-income settings. This study aimed to analyze in-hospital mortality and to apply mortality estimation indexes in burn patients admitted to the only specialized burn unit in Rwanda.

methodsThis retrospective study included all patients with burns admitted at the burn unit (BU) of the University Teaching Hospital in Kigali (CHUK) between 2005 and 2019. Patient data were collected from the BU logbook. Descriptive statistics were calculated with frequency (%) and median (interquartile range, IQR). Association between burns characteristics and in-hospital mortality was calculated with Fisher's exact test, and Wilcoxon rank, as appropriate. Mortality estimation analysis, including Baux score, Lethal Area 50 (LA50), and point of futility, was calculated in those patients with complete data on age and TBSA. LA50 and point-of-futility were calculated using logistic regression.

resultsAmong the 1093 burn patients admitted at the CHUK burn unit during the study period, 49% (n=532) had complete data on age and TBSA. Their median age, TBSA, and Baux score were 3.4 years (IQR 1.9-17.1), 15% (IQR 11-25), and 24 (IQR 16-38), respectively. Overall, reported in-hospital mortality was 13% (n=121/931), LA50 for Baux score was 89.9 (95% CI 76.2-103.7), and the point-of-futility was at a Baux score of 104.

conclusionMortality estimation indexes based on age and TBSA are feasible to use in low-income settings. However, implementation of systematic data collection would contribute to a more accurate calculation of the mortality risk.

Indexed as

Baux scoreBurnslow-income countriesmortality

Identifiers

PMID38505345
PMCPMC10944709
OpenAlexW4394763850

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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.