Evidence map›Paper›PMID 32632180›Full record

SynthesisScientific reports2020

Plasmodium spp. mixed infection leading to severe malaria: a systematic review and meta-analysis.

Manas Kotepui, Kwuntida Uthaisar Kotepui, Giovanni De Jesus Milanez, Frederick Ramirez Masangkay

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 7 pooled it
7.6field-weighted citation impact, top 2% 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

56 citing papers in PubMed, 7 syntheses or guidelines pooled it, 85 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Detection ofASM case reports · 2026
    Article
  9. Article
  10. Article
  11. Mechanisms of carbamate resistance in the malaria vector:Parasite epidemiology and control · 2026
    Review
  12. Article
  13. Article
  14. Article
  15. Mixed malaria infections: A critical review and Detect-Characterise-Act surveillance framework.Current research in parasitology & vector-borne diseases · 2026
    Review
  16. Review
  17. Article
  18. Virulence · 2025
    Review
  19. Article
  20. Article
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

4 authors at 2 institutions in 2 countries.

Manas KotepuiMedical Technology, School of Allied Health Sciences, Walailak University, Tha Sala, Nakhon Si Thammarat, Thailand. manas.ko@wu.ac.th.
Kwuntida Uthaisar KotepuiMedical Technology, School of Allied Health Sciences, Walailak University, Tha Sala, Nakhon Si Thammarat, Thailand.
Giovanni De Jesus MilanezDepartment of Medical Technology, Institute of Arts and Sciences, Far Eastern University-Manila, Manila, Philippines.
Frederick Ramirez MasangkayDepartment of Medical Technology, Institute of Arts and Sciences, Far Eastern University-Manila, Manila, Philippines.
Far Eastern University · PHWalailak University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed Plasmodium malaria infections can lead to severe malaria. This systematic review and meta-analysis aimed to explore the prevalence of severe mixed Plasmodium malaria infection and to compare it with the prevalence of severe P. falciparum malaria mono-infection across the included studies. Original English-language research articles from PubMed, Scopus, and ISI Web of Science were identified and screened. Articles reporting the number of mixed infections and the number of severe mixed infections were used to determine the main outcome of this study, while the number of P. falciparum infections and the number of severe P. falciparum infections were used to determine the secondary outcome of this study. For the main outcome, the pooled prevalence and 95% confidence interval (CI) of severe mixed infections was analysed using STATA software version 15.0 (Stata Corp, College Station, TX, USA). For the secondary outcome, the rate of severe mixed infections compared to severe P. falciparum infections was analysed using the meta-analysis approach, and summary odds ratios (ORs) and 95% CIs were calculated. Random-effects models were used to produce the summary ORs. The Mantel-Haenszel method and calculated I

Indexed as

Severity of Illness IndexCoinfectionHumansMalariaPlasmodiumPrevalence

Identifiers

PMID32632180
PMCPMC7338391
OpenAlexW3038315684

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.