Evidence map›Paper›PMID 41408276›Full record

ArticleMalaria journal2025

Hidden burden: submicroscopic Plasmodium spp. infections in indigenous populations of the Peruvian Amazon.

Milagros Saavedra-Samillán, Lluny C López-Ugarte, Julio Sandoval-Bances, Luis M Rojas, Venkatachalam Udhayakumar, Hugo O Valdivia, Juan F Sanchez, Stella M Chenet

Abstract read
In one paragraph

Article in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Milagros Saavedra-Samillán *Instituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru.
Lluny C López-Ugarte *Instituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru.
Julio Sandoval-BancesInstituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru.
Luis M RojasInstituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru.
Venkatachalam UdhayakumarIntegrated Sero-surveillance Research, The Task Force for Global Health, Decatur, USA.
Hugo O ValdiviaDepartment of Parasitology, U.S. Naval Medical Research Unit SOUTH (NAMRU SOUTH), Lima, Peru.
Juan F SanchezDepartment of Parasitology, U.S. Naval Medical Research Unit SOUTH (NAMRU SOUTH), Lima, Peru.
Stella M ChenetInstituto de Investigación de Enfermedades Tropicales (IET), Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM), Chachapoyas, Peru. stella.chenet@untrm.edu.pe.

Funding

PROCIENCIA PE501078584- 2022Universidad Nacional Toribio Rodriguez de Mendoza de Amazonas, Peru VRINUS DoD Armed Forces Health Surveillance Division, Global Emerging Infections Surveillance Branch (AFHSD/GEIS) PROMIS ID P0091_24_N6
6 · The paper itself

Abstract

backgroundMalaria remains endemic in Peru, particularly in the Amazonas Region, with the highest burden reported in the Río Santiago District, Condorcanqui Province. As part of ongoing malaria elimination efforts, special attention must be given to submicroscopic infections, which may serve as silent reservoirs that sustain transmission. This study aimed to determine the prevalence of submicroscopic malaria infections and to identify the sociodemographic and clinical-epidemiological factors associated with these infections in the indigenous communities of Río Santiago.

methodsA cross-sectional study was conducted in four native communities, with data collected during wet season through active case detection interventions. Blood samples were collected from participants for both microscopic diagnosis and molecular confirmation (qPCR) of Plasmodium spp. infections, alongside sociodemographic and clinical data. Data analysis included descriptive statistics and univariate and multivariate regression models to assess factors associated with submicroscopic malaria infections.

resultsA total of 926 individuals were enrolled in this study, of whom 157 (17.0%; 157/926) tested positive for Plasmodium spp. Plasmodium vivax was the most frequently detected species by both microscopy and qPCR. The prevalence of submicroscopic infections was 8.5% (79/926), with the community of Caterpiza exhibiting the highest prevalence (20.3%; 35/172). Among submicroscopic infections, 74.7% (59/79) were asymptomatic. Multivariate analysis showed that asymptomatic individuals had 2.32-fold higher prevalence of submicroscopic infection (aPR = 2.32, 95% CI 1.63-3.29). Conversely, the presence of household animals was associated with a 36% reduction in prevalence (aPR = 0.64, 95% CI 0.48-0.85). Additionally, living in Caterpiza was significantly associated with a higher prevalence, with individuals showing a 2.34-fold compared to those living in Alianza Progreso (aPR = 2.34, 95% CI 1.68-3.24).

conclusionsSubmicroscopic malaria infections were highly prevalent in the Río Santiago District, influenced by individual, household and community-level factors. These findings underscore the need for improved diagnostic strategies beyond symptom-based approaches such as molecular diagnostic tools within malaria surveillance systems to better detect and control hidden malaria transmission.

Indexed as

MalariaMalaria, VivaxPlasmodiumAdolescentAdultAgedAged, 80 and overChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleMicroscopyMiddle AgedAmazonasCondorcanquiPlasmodium spp.Submicroscopic infections

Identifiers

PMID41408276
PMCPMC12829157

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.