Evidence map›Paper›PMID 41732698›Full record

ArticleMethodsX2026

Validation of intensive care unit predictive scoring systems in West Africans.

Charles Frederick Hayfron-Benjamin, Theresa Ruby Quartey-Papafio, Akua Kissi-Prah, Delphine Delali Grant, Tracy Amo-Nyarko, Anastasia Naa Koshie Bruce, Divine Agbenyegah Kwami, Andrew Kwabena-Adade

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Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

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

8 authors.

Charles Frederick Hayfron-BenjaminDepartment of Physiology, University of Ghana Medical School, P O Box GP 4236, Accra, Ghana.
Theresa Ruby Quartey-PapafioDepartment of Anesthesia and Critical Care, Korle Bu Teaching Hospital, P. O. Box 77, Korle Bu, Accra, Ghana.
Akua Kissi-PrahDepartment of Anesthesia and Critical Care, Korle Bu Teaching Hospital, P. O. Box 77, Korle Bu, Accra, Ghana.
Delphine Delali GrantDepartment of Anesthesia and Critical Care, Greater Accra Regional Hospital, Ghana.
Tracy Amo-NyarkoDepartment of Physiology, University of Ghana Medical School, P O Box GP 4236, Accra, Ghana.
Anastasia Naa Koshie BruceDepartment of Physiology, University of Ghana Medical School, P O Box GP 4236, Accra, Ghana.
Divine Agbenyegah KwamiDepartment of Anesthesia and Critical Care, Korle Bu Teaching Hospital, P. O. Box 77, Korle Bu, Accra, Ghana.
Andrew Kwabena-AdadeDepartment of Anesthesia and Critical Care, Korle Bu Teaching Hospital, P. O. Box 77, Korle Bu, Accra, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intensive care unit(ICU) predictive scoring systems (PSS) are valuable in predicting outcomes in the ICU. However, they have not been validated in many populations, including West Africans, limiting their utility in these populations. The study population comprises Ghanaians managed in the ICUs of two major tertiary/quaternary hospitals in Ghana from 2017 to 2026. The Acute Physiologic and Chronic Health Evaluation-IV(APACHE-IV), Simplified Acute Physiologic Score-III (SAPS-III), Mortality Prediction Model-III(MPM0-III), Sequential (Sepsis-related) Organ Failure Assessment(SOFA)/quick SOFA(qSOFA), and National Early Warning Score-2(NEWS-2) scores will be calculated. For APACHE-IV, SAPS-III, and MPM0-III, the primary outcome measures are mortality and/or length of stay(LOS). The APACHE IV, SAPS-III, and MPM0-III scores and their corresponding predicted mortality ratios will be calculated. The overall observed and predicted ICU mortality rates will be assessed. Validation will be tested by assessing calibration and discrimination. For SOFA/qSOFA and NEWS-2, the associations of the mean score, highest score, and change in score with mortality will be assessed. Conventional statistical tools and supervised machine learning algorithms will be used to identify predictors of ICU mortality.•This study aims to validate the performance of existing ICU PSS in predicting ICU mortality and LOS among West Africans, and to identify their predictors.

Indexed as

Critical careIntensive care unitPredictive scoring systemsSub-Saharan Africans

Identifiers

PMID41732698
PMCPMC12925423

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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.