Evidence map›Paper›PMID 32197619›Full record

SynthesisMalaria journal2020

Systematic review of statistical methods for safety data in malaria chemoprevention in pregnancy trials.

Noel Patson, Mavuto Mukaka, Kennedy N Otwombe, Lawrence Kazembe, Don P Mathanga, Victor Mwapasa, Alinune N Kabaghe, Marinus J C Eijkemans, Miriam K Laufer, Tobias Chirwa

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Malaria journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 6 institutions in 7 countries.

Noel PatsonSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Mavuto MukakaMahidol Oxford Tropical Medicine Research Unit (MORU), Bangkok, Thailand.
Kennedy N OtwombeSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
Lawrence KazembeDepartment of Biostatistics, University of Namibia, Windhoek, Namibia.
Don P MathangaUniversity of Malawi, College of Medicine, Blantyre, Malawi.
Victor MwapasaUniversity of Malawi, College of Medicine, Blantyre, Malawi.
Alinune N KabagheUniversity of Malawi, College of Medicine, Blantyre, Malawi.
Marinus J C EijkemansJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
Miriam K LauferCenter for Vaccine Development and Global Health, University of Maryland, School of Medicine, 685 W. Baltimore St., HSF-1 Room 480, Baltimore, MD, 21201, USA. mlaufer@som.umaryland.edu.ORCID http://orcid.org/0000-0001-8300-9593
Tobias ChirwaSchool of Public Health, University of the Witwatersrand, Johannesburg, South Africa.
University of Malawi · MWUniversity of the Witwatersrand · ZANuffield Orthopaedic Centre · GBUniversity of Maryland, Baltimore · USUniversity of Namibia · NAUtrecht University · NL

Funding

Mentoring in patient-oriented research in global healthK24AI114996 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI LAUFER, MIRIAM K. · 2016 to 2025
$1.6M
Interdisciplinary malaria research training in MalawiD43TW010075 · FIC · UNIVERSITY OF MARYLAND BALTIMORE · PI LAUFER, MIRIAM K., MATHANGA, DON P · 2016 to 2021
$1.1M
FIC NIH HHS D43 TW010075FIC NIH HHS D43TW010075NIAID NIH HHS K24 AI114996
6 · The paper itself

Abstract

backgroundDrug safety assessments in clinical trials present unique analytical challenges. Some of these include adjusting for individual follow-up time, repeated measurements of multiple outcomes and missing data among others. Furthermore, pre-specifying appropriate analysis becomes difficult as some safety endpoints are unexpected. Although existing guidelines such as CONSORT encourage thorough reporting of adverse events (AEs) in clinical trials, they provide limited details for safety data analysis. The limited guidelines may influence suboptimal analysis by failing to account for some analysis challenges above. A typical example where such challenges exist are trials of anti-malarial drugs for malaria prevention during pregnancy. Lack of proper standardized evaluation of the safety of antimalarial drugs has limited the ability to draw conclusions about safety. Therefore, a systematic review was conducted to establish the current practice in statistical analysis for preventive antimalarial drug safety in pregnancy.

methodsThe search included five databases (PubMed, Embase, Scopus, Malaria in Pregnancy Library and Cochrane Central Register of Controlled Trials) to identify original English articles reporting Phase III randomized controlled trials (RCTs) on anti-malarial drugs for malaria prevention in pregnancy published from January 2010 to July 2019.

resultsEighteen trials were included in this review that collected multiple longitudinal safety outcomes including AEs. Statistical analysis and reporting of the safety outcomes in all the trials used descriptive statistics; proportions/counts (n = 18, 100%) and mean/median (n = 2, 11.1%). Results presentation included tabular (n = 16, 88.9%) and text description (n = 2, 11.1%). Univariate inferential methods were reported in most trials (n = 16, 88.9%); including Chi square/Fisher's exact test (n = 12, 66.7%), t test (n = 2, 11.1%) and Mann-Whitney/Wilcoxon test (n = 1, 5.6%). Multivariable methods, including Poisson and negative binomial were reported in few trials (n = 3, 16.7%). Assessment of a potential link between missing efficacy data and safety outcomes was not reported in any of the trials that reported efficacy missing data (n = 7, 38.9%).

conclusionThe review demonstrated that statistical analysis of safety data in anti-malarial drugs for malarial chemoprevention in pregnancy RCTs is inadequate. The analyses insufficiently account for multiple safety outcomes potential dependence, follow-up time and informative missing data which can compromise anti-malarial drug safety evidence development, based on the available data.

Indexed as

AdultAntimalarialsChemopreventionData Interpretation, StatisticalFemaleHumansMalariaPregnancyPregnancy Complications, InfectiousRandomized Controlled Trials as TopicAntimalarialsClinical trialsMalariaPregnancyPreventionSafetyStatistical methods

Identifiers

PMID32197619
PMCPMC7085184
OpenAlexW3012732729

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.