Evidence map›Paper›PMID 29565981›Full record

ArticlePloS one2018

Malaria diagnosis by PCR revealed differential distribution of mono and mixed species infections by Plasmodium falciparum and P. vivax in India.

Nisha Siwal, Upasana Shyamsunder Singh, Manoswini Dash, Sonalika Kar, Swati Rani, Charu Rawal, Rajkumar Singh, Anupkumar R Anvikar, Veena Pande, Aparup Das

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
6.9field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  3. Rapid diagnostic tests for Plasmodium vivax malaria in endemic countries.The Cochrane database of systematic reviews · 2020
    Pooled it
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  13. Assessment ofJournal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
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  14. Reply to Deora et al. Multiplexing forPathogens (Basel, Switzerland) · 2022
    Article
  15. A systematic review and meta-analysis on sub-microscopicThe Lancet regional health. Southeast Asia · 2022
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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 3 institutions in 1 country.

Nisha SiwalDivision of Vector Borne Diseases, ICMR-National Institute for Research in Tribal Health, Garha, Jabalpur, Madhya Pradesh, India.
Upasana Shyamsunder SinghDivision of Vector Borne Diseases, ICMR-National Institute for Research in Tribal Health, Garha, Jabalpur, Madhya Pradesh, India.
Manoswini DashICMR-National Institute of Malaria Research, Sector 8, Dwarka, New Delhi, India.
Sonalika KarICMR-National Institute of Malaria Research, Sector 8, Dwarka, New Delhi, India.
Swati RaniICMR-National Institute of Malaria Research, Sector 8, Dwarka, New Delhi, India.
Charu RawalICMR-National Institute of Malaria Research, Sector 8, Dwarka, New Delhi, India.
Rajkumar SinghICMR-National Institute of Malaria Research, Sector 8, Dwarka, New Delhi, India.
Anupkumar R AnvikarICMR-National Institute of Malaria Research, Sector 8, Dwarka, New Delhi, India.
Veena PandeDepartment of Biotechnology, Kumaun University, Nainital, Uttarakhand, India.
Aparup DasDivision of Vector Borne Diseases, ICMR-National Institute for Research in Tribal Health, Garha, Jabalpur, Madhya Pradesh, India.ORCID 0000-0002-4081-5816
National Institute of Malaria Research · INNational Institute for Research in Tribal Health · INKumaun University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria is a vector-borne infectious disease, caused by five different species of the genus Plasmodium, and is endemic to many tropical and sub-tropical countries of the globe. At present, malaria diagnosis at the primary health care level in India is conducted by either microscopy or rapid diagnostic test (RDT). In recent years, molecular diagnosis (by PCR assay), has emerged as the most sensitive method for malaria diagnosis. India is highly endemic to malaria and shoulders the burden of two major malaria parasites, Plasmodium falciparum and P. vivax. Previous studies using PCR diagnostic assay had unraveled several interesting facts on distribution of malaria parasites in India. However, these studies had several limitations from small sample size to limited geographical areas of sampling. In order to mitigate these limitations, we have collected finger-prick blood samples from 2,333 malaria symptomatic individuals in nine states from 11 geographic locations, covering almost the entire malaria endemic regions of India and performed all the three diagnostic tests (microscopy, RDT and PCR assay) and also have conducted comparative assessment on the performance of the three diagnostic tests. Since PCR assay turned out to be highly sensitive (827 malaria positive cases) among the three types of tests, we have utilized data from PCR diagnostic assay for analyses and inferences. The results indicate varied distributional prevalence of P. vivax and P. falciparum according to locations in India, and also the mixed species infection due to these two species. The proportion of P. falciparum to P. vivax was found to be 49:51, and percentage of mixed species infections due to these two parasites was found to be 13% of total infections. Considering India is set for malaria elimination by 2030, the present malaria epidemiological information is of high importance.

Indexed as

Malaria, FalciparumMalaria, VivaxFemaleHumansIndiaMalePlasmodium falciparumPlasmodium vivaxPolymerase Chain Reaction

Identifiers

PMID29565981
PMCPMC5863947
OpenAlexW2791827015

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.