Evidence map›Paper›PMID 42181238›Full record

ReviewiScience2026

Mechanistic insights into subclinical

Ritesh Ranjha, Aditi Gupta, Kuldeep Singh, Ruhi Sikka, Anup R Anvikar, Himanshu Gupta, Praveen K Bharti

Abstract readReview
In one paragraph

Review in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Detection ofASM case reports · 2026
    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

7 authors.

Ritesh RanjhaICMR-National Institute of Malaria Research, New Delhi, Delhi, India.
Aditi GuptaDepartment of Biotechnology, Institute of Applied Sciences & Humanities, GLA University, Mathura, Uttar Pradesh, India.
Kuldeep SinghICMR-National Institute of Malaria Research, New Delhi, Delhi, India.
Ruhi SikkaDepartment of Biotechnology, Institute of Applied Sciences & Humanities, GLA University, Mathura, Uttar Pradesh, India.
Anup R AnvikarICMR-National Institute of Malaria Research, New Delhi, Delhi, India.
Himanshu GuptaDepartment of Biotechnology, Institute of Applied Sciences & Humanities, GLA University, Mathura, Uttar Pradesh, India.
Praveen K BhartiICMR-National Institute of Malaria Research, New Delhi, Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subclinical malaria presents a challenge to global malaria elimination efforts. It often evades detection by conventional diagnostic tools due to low parasite densities. Despite being clinically silent, asymptomatic infections within the broader spectrum of subclinical malaria serve as hidden reservoirs that sustain transmission. Their persistence arises from a multifaceted interplay of parasite adaptations, including density thresholds, antigenic variation, cytoadhesion, multiplicity of infection, and emerging drug resistance, and host-related factors such as naturally acquired immunity, age, pregnancy, genetic polymorphisms, and epigenetic influences. Chronic subclinical and asymptomatic infections are associated with anemia, impaired cognitive development in children, and adverse pregnancy outcomes. This article examines the epidemiological burden, biological mechanisms, diagnostic challenges, and health consequences of subclinical malaria. The urgent need for field-deployable, sensitive diagnostic tools and integrative approaches is underscored. Understanding the mechanisms sustaining subclinical and asymptomatic infections is essential for targeted interventions and malaria elimination.

Indexed as

clinical findingdiseasehealth sciences

Identifiers

PMID42181238
PMCPMC13197720

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.