Evidence map›Paper›PMID 20939931›Full record

ArticleMalaria journal2010

The age patterns of severe malaria syndromes in sub-Saharan Africa across a range of transmission intensities and seasonality settings.

Arantxa Roca-Feltrer, Ilona Carneiro, Lucy Smith, Joanna Rm Armstrong Schellenberg, Brian Greenwood, David Schellenberg

Abstract read
In one paragraph

Article in Malaria journal, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 1 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.

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

59 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  11. Effects of Climate Variability on Malaria Transmission in Southern Côte d'Ivoire, West Africa.International journal of environmental research and public health · 2023
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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

6 authors.

Arantxa Roca-FeltrerDepartment of Disease Control, Faculty of Infectious & Tropical Disease, London School of Hygiene & Tropical Medicine, Keppel Street, London, UK. arantxa.roca-feltrer@lshtm.ac.uk
Ilona Carneiro
Lucy Smith
Joanna Rm Armstrong Schellenberg
Brian Greenwood
David Schellenberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA greater understanding of the relationship between transmission intensity, seasonality and the age-pattern of malaria is needed to guide appropriate targeting of malaria interventions in different epidemiological settings.

methodsA systematic literature review identified studies which reported the age of paediatric hospital admissions with cerebral malaria (CM), severe malarial anaemia (SMA), or respiratory distress (RD). Study sites were categorized into a 3 × 2 matrix of Plasmodium falciparum transmission intensity and seasonality. Probability distributions were fitted by maximum likelihood methods, and best fitting models were used to estimate median ages and to represent graphically the age-pattern of each outcome for each transmission category in the matrix.

resultsA shift in the burden of CM towards younger age groups was seen with increasing intensity of transmission, but this was not the case for SMA or RD. Sites with 'no marked seasonality' showed more evidence of skewed age-patterns compared to areas of 'marked seasonality' for all three severe malaria syndromes.

conclusionsAlthough the peak age of CM will increase as transmission intensity decreases in Africa, more than 75% of all paediatric hospital admissions of severe malaria are likely to remain in under five year olds in most epidemiological settings.

Indexed as

AdolescentAfrica South of the SaharaAge FactorsAnemiaChildChild, PreschoolHumansInfantInfant, NewbornMalaria, CerebralMalaria, FalciparumRespiratory Distress SyndromeSeasons

Identifiers

PMID20939931
PMCPMC2992028

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LicenceCC BY
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Registered trials

None linked

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.