ReviewMolecular diagnosis & therapy2025
Advances and Challenges in the Diagnosis of Leishmaniasis.
Review in Molecular diagnosis & therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed.
- Evaluation of a commercial real-time PCR assay targeting Leishmania spp. with microscopically positive skin biopsies obtained from Nigerian patients.European journal of microbiology & immunology · 2026Article
- Coumarin derivatives as new chemotype targeting leishmanial sterol biosynthesis pathway proteins: an integrated in vitro, mechanistic, and in silico evaluation.World journal of microbiology & biotechnology · 2026Article
- Leishmaniasis vaccine research: current status and new directions.Parasitology · 2026Review
- Revisiting visceral leishmaniasis in immunocompromised patients: Ongoing gaps and advances in diagnostics, therapies, and preventive measures.Current research in parasitology & vector-borne diseases · 2026Review
- Post-kala-azar dermal leishmaniasis: insights into underlying pathogenic mechanisms and genetic landscape.Frontiers in microbiology · 2026Review
- Evidence Gaps and Global Patterns in Leishmaniasis Control: A Scoping Review of Clinical, Diagnostic, and Treatment Strategies.Journal of parasitology research · 2026Review
- Specificity of Primers and Probes for Molecular Diagnosis ofPathogens (Basel, Switzerland) · 2025Article
- High-throughput screening identifies novel chemical scaffolds targeting Leishmania donovani parasites.World journal of microbiology & biotechnology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Leishmaniasis remains a significant public health challenge, particularly in endemic regions with limited resources. Traditional diagnostic methods, including microscopy, culture, and serology, though widely utilized, often suffer from limitations such as variable sensitivity, time delays, and the need for specialized infrastructure. Some of these limitations have been addressed with the emergence of molecular diagnostic techniques. Quantitative PCR (q-PCR), loop-mediated isothermal amplification (LAMP), and recombinase polymerase amplification (RPA) assays have improved the diagnostic sensitivity and specificity, enabling species identification and detection of asymptomatic infections. Further, nanodiagnostics and portable sequencing technologies such as the MinION™, along with lab-on-chip platforms, are revolutionizing the diagnostic landscape of leishmaniasis by offering point-of-care (POC) options for remote settings and field-based diagnosis. This review provides an in-depth analysis of these cutting-edge advances, discusses their application in resource-constrained settings, and evaluates their potential to reshape the future of leishmaniasis diagnosis and management.
Indexed as
Identifiers
39843806What OpenQuestion holds
Registered trials
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.