Evidence map›Paper›PMID 38455327›Full record

ArticleFrontiers in epidemiology2022

Analysis of Recurrent Times-to-Clinical Malaria Episodes and

Christopher C Stanley, Mavuto Mukaka, Lawrence N Kazembe, Andrea G Buchwald, Don P Mathanga, Miriam K Laufer, Tobias F Chirwa

Open access · diamondAbstract read
In one paragraph

Article in Frontiers in epidemiology, 2022. 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
–field-weighted citation impact, top 88% 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.

  1. Article
  2. Observational
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

7 authors at 5 institutions in 5 countries.

Christopher C StanleyFaculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Mavuto MukakaOxford Centre for Tropical Medicine and Global Health, Oxford, United Kingdom.
Lawrence N KazembeDepartment of Statistics, University of Namibia, Windhoek, Namibia.
Andrea G BuchwaldCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States.
Don P MathangaMalaria Alert Center, Kamuzu University of Health Sciences, Blantyre, Malawi.
Miriam K LauferCenter for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, United States.
Tobias F ChirwaFaculty of Health Sciences, School of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
University of Maryland, Baltimore · USUniversity of the Witwatersrand · ZAKamuzu University of Health SciencesMahidol Oxford Tropical Medicine Research Unit · THUniversity of Namibia · NA

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Recurrent clinical malaria episodes due to Methods: The single event joint model comprised Cox Proportional Hazards (PH) sub-model for time-to-first clinical malaria episode and Negative Binomial (NB) mixed-effects sub-model for the longitudinal parasitemia. The recurrent events joint model extends the survival sub-model to a Gamma shared frailty model to include all recurrent clinical episodes. The models were applied to cohort data from Malawi. Simulations were also conducted to assess the performance of the model under different conditions. Results: The recurrent events joint model, which yielded higher hazard ratios of clinical malaria, was more precise and in most cases produced smaller standard errors than the single-event joint model; hazard ratio (HR) = 1.42, [95% confidence interval [CI]: 1.22, 2.03] vs. HR = 1.29, [95% CI:1.60, 2.45] among participants who reported not to use LLINs every night compared to those who used the nets every night; HR = 0.96, [ 95% CI: 0.94, 0.98] vs. HR = 0.81, [95% CI: 0.75, 0.88] for each 1-year increase in participants' age; and HR = 1.36, [95% CI: 1.05, 1.75] vs. HR = 1.10, [95% CI: 0.83, 4.11] for observations during the rainy season compared to the dry season. Conclusion: The recurrent events joint model in this study provides a way of estimating the risk of recurrent clinical malaria in a cohort where the effect of immunity on malaria disease acquired due to

Indexed as

cox proportional hazards modeljoint modelinglongitudinal datamalaria parasitemiamixed-effects modelPlasmodium falciparumrecurrent clinical malariashared frailty model

Identifiers

PMID38455327
PMCPMC10911024
OpenAlexW4284891163

What OpenQuestion holds

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LicenceCC BY
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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.