SynthesisBMC medicine2017
Clinical and laboratory predictors of death in African children with features of severe malaria: a systematic review and meta-analysis.
Synthesis in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 2 of them syntheses that pooled 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.
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.
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Who cites it
56 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.
- Prognostic factors in malaria patients with acute kidney injury: a systematic review and meta analysis.Renal failure · 2026Pooled it
- The prognostic and diagnostic value of intraleukocytic malaria pigment in patients with severe falciparum malaria.Nature communications · 2022Pooled it
- Prostration and the prognosis of death in African children with severe malaria.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023Trial
- Advancing global malaria control: therapeutic strategies, drug discovery, and formulation innovations.Infection · 2026Review
- KDIGO stage 3 acute kidney injury in children with severe Plasmodium falciparum malaria including blackwater fever: a case series from a resource-limited setting in Southwest Ethiopia.BMC nephrology · 2026Article
- Post-transfusion Malaria in Morocco and Non-endemic African Countries: A Systematic Review of Reported Cases.Cureus · 2026Review
- Risk factors for malaria-related mortality among children under five at Mbale Regional Referral Hospital, Uganda, 2020-2024: A case-control study.PLOS global public health · 2026Article
- Animal Models of Malaria-Associated Acute Kidney Injury.Seminars in nephrology · 2025Review
- Plasma Neutrophil Gelatinase-Associated Lipocalin as a Biomarker of Kidney Injury and Potential Predictor of Hypoxic Brain Injury in Severe Plasmodium falciparum Malaria: Insights From India.Seminars in nephrology · 2025Review
- Prognostic factors for death in patients hospitalised with malaria in pediatric units at the regional hospital centre in Dori, Burkina Faso.BMC infectious diseases · 2025Article
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- Article
- Admission Point-of-Care Testing for the Clinical Care of Children with Cerebral Malaria.Tropical medicine and infectious disease · 2024Article
- Current Status of Malaria Control and Elimination in Africa: Epidemiology, Diagnosis, Treatment, Progress and Challenges.Journal of epidemiology and global health · 2024Review
- The malarial blood transcriptome: translational applications.Biochemical Society transactions · 2024Review
- PCR-confirmed malaria among children presenting with a decreased level of consciousness in Angola: a prospective, observational study.Malaria journal · 2023Observational
- Novel Experimental Mouse Model to Study Malaria-Associated Acute Kidney Injury.Pathogens (Basel, Switzerland) · 2023Article
- Severe malaria in Gabon: epidemiological, clinical and laboratory features in Amissa Bongo Hospital of Franceville.Malaria journal · 2023Article
- Genetic variations in human ATP2B4 gene alter Plasmodium falciparum in vitro growth in RBCs from Gambian adults.Malaria journal · 2023Article
- Plasma Amino Acid Concentrations in Children With Severe Malaria Are Associated With Mortality and Worse Long-term Kidney and Cognitive Outcomes.The Journal of infectious diseases · 2022Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe criteria for defining severe malaria have evolved over the last 20 years. We aimed to assess the strength of association of death with features currently characterizing severe malaria through a systematic review and meta-analysis.
methodElectronic databases (Medline, Embase, Cochrane Database of Systematic Reviews, Thomson Reuters Web of Knowledge) were searched to identify publications including African children with severe malaria. PRISMA guidelines were followed. Selection was based on design (epidemiological, clinical and treatment studies), setting (Africa), participants (children < 15 years old with severe malaria), outcome (survival/death rate), and prognostic indicators (clinical and laboratory features). Quality assessment was performed following the criteria of the 2011 Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2). Odds ratios (ORs) were calculated for each study and prognostic indicator, and, when a test was assessed in at least two studies, pooled estimates of ORs were computed using fixed- or random-effects meta-analysis.
resultsA total of 601 articles were identified and screened and 30 publications were retained. Features with the highest pooled ORs were renal failure (5.96, 95% CI 2.93-12.11), coma score (4.83, 95% CI 3.11-7.5), hypoglycemia (4.59, 95% CI 2.68-7.89), shock (4.31, 95% CI 2.15-8.64), and deep breathing (3.8, 95% CI 3.29-4.39). Only half of the criteria had an OR > 2. Features with the lowest pooled ORs were impaired consciousness (0.58, 95% CI 0.25-1.37), severe anemia (0.76, 95% CI 0.5- 1.13), and prostration (1.12, 95% CI 0.45-2.82).
conclusionThe findings of this meta-analysis show that the strength of association between the criteria defining severe malaria and death is quite variable for each clinical and/or laboratory feature (OR ranging from 0.58 to 5.96). This ranking allowed the identification of features weakly associated with death, such as impaired consciousness and prostration, which could assist to improve case definition, and thus optimize antimalarial treatment.
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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.