Evidence map›Paper›PMID 31406586›Full record

ArticleBMJ global health2019

Effectiveness of intermittent screening and treatment for the control of malaria in pregnancy: a cluster randomised trial in India.

Irene Kuepfer, Neelima Mishra, Jane Bruce, Vinit Mishra, Anupkumar R Anvikar, Sanghamitra Satpathi, Prativa Behera, Atis Muehlenbachs, Jayne Webster, Feiko terKuile and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Prevalence of Pregnancy Associated Malaria in India.Frontiers in global women's health · 2022
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Placental Malaria.Current tropical medicine reports · 2020
    Review
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

13 authors at 5 institutions in 3 countries.

Irene KuepferDepartment of Disease Control, London School of Hygiene & Tropical Medicine Faculty of Infectious and Tropical Diseases, London, UK.ORCID 0000-0001-5864-9265
Neelima MishraNational Institute of Malaria Research, New Delhi, India.
Jane BruceDepartment of Disease Control, London School of Hygiene & Tropical Medicine Faculty of Infectious and Tropical Diseases, London, UK.
Vinit MishraNational Institute of Malaria Research, New Delhi, India.
Anupkumar R AnvikarNational Institute of Malaria Research, New Delhi, India.
Sanghamitra SatpathiDepartment of Pathology, Ispat General Hospital, Rourkela, India.
Prativa BeheraDepartment of Pathology, Ispat General Hospital, Rourkela, India.
Atis MuehlenbachsOffice of Infectious Diseases, National Foundation for the Centers for Disease Control and Prevention Inc, Atlanta, Georgia, USA.
Jayne WebsterDepartment of Disease Control, London School of Hygiene & Tropical Medicine Faculty of Infectious and Tropical Diseases, London, UK.
Feiko terKuileDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK.
Brian GreenwoodDepartment of Disease Control, London School of Hygiene & Tropical Medicine Faculty of Infectious and Tropical Diseases, London, UK.
Neena ValechaNational Institute of Malaria Research, New Delhi, India.
Daniel ChandramohanDepartment of Disease Control, London School of Hygiene & Tropical Medicine Faculty of Infectious and Tropical Diseases, London, UK.
London School of Hygiene & Tropical Medicine · GBNational Institute of Malaria Research · INIspat General Hospital · INCenters for Disease Control and Prevention · USLiverpool School of Tropical Medicine · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe control of malaria in pregnancy (MiP) in India relies on testing women who present with symptoms or signs suggestive of malaria. We hypothesised that intermittent screening and treatment for malaria at each antenatal care visit (ISTp) would improve on this approach and reduce the adverse effects of MiP.

methodsA cluster randomised controlled trial comparing ISTp versus passive case detection (PCD) was conducted in Jharkhand state. Pregnant women of all parities with a gestational age of 18-28 weeks were enrolled. Women in the ISTp group were screened with a rapid diagnostic test (RDT) for malaria at each antenatal clinic visit and those in the PCD group were screened only if they had symptoms or signs suggestive of malaria. All RDT positive women were treated with artesunate/sulfadoxine-pyrimethamine. The primary endpoint was placental malaria, determined by placental histology, and the key secondary endpoints were birth weight, gestational age, vital status of the newborn baby and maternal anaemia.

resultsBetween April 2012 and September 2015, 6868 women were enrolled; 3300 in 46 ISTp clusters and 3568 in 41 PCD clusters. In the ISTp arm, 4.9% of women were tested malaria positive and 0.6% in the PCD arm. There was no difference in the prevalence of placental malaria in the ISTp (87/1454, 6.0%) and PCD (65/1560, 4.2%) groups (6.0% vs 4.2%; OR 1.34, 95% CI 0.78 to 2.29, p=0.29) or in any of the secondary endpoints.

conclusionISTp detected more infections than PCD, but monthly ISTp with the current generation of RDT is unlikely to reduce placental malaria or impact on pregnancy outcomes. ISTp trials with more sensitive point-of-care diagnostic tests are needed.

Indexed as

Indiaintermittent screening and treatmentmalariapregnancyprevention and control

Identifiers

PMID31406586
PMCPMC6666812
OpenAlexW2966351498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.