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Record W4385374278 · doi:10.1038/s41598-023-37458-6

Leishmania donovani persistence and circulation causing cutaneous leishmaniasis in unusual-foci of Nepal

2023· article· en· W4385374278 on OpenAlexaff
Tinmaya Rai, Srijan Lal Shrestha, Sabita Prajapati, Anup Bastola, Niraj Parajuli, Pragya Gautam Ghimire, Parmananda Bhandari, Kishor Pandey, Manju Jain, Greg Matlashewski, Rachel Bras‐Gonçalves, Krishna Das Manandhar

Bibliographic record

VenueScientific Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsMcGill University
FundersCentre de Coopération Internationale en Recherche Agronomique pour le DéveloppementUniversity Grants Commission- NepalMinistry of Education, Science and TechnologyBanaras Hindu UniversityTribhuvan University
KeywordsLeishmania donovaniKinetoplastCutaneous leishmaniasisInternal transcribed spacerBiologyVisceral leishmaniasisParasite hostingLeishmaniasisPolymerase chain reactionLeishmaniaVirologyImmunologyDNAGeneticsGeneRibosomal RNA

Abstract

fetched live from OpenAlex

Cutaneous leishmaniasis cases have increased dramatically in recent years in Nepal. The study offers molecular identification of the Leishmania species using 40 patient's aspiration biopsy samples, targeting markers kinetoplast minicircle DNA (kDNA) and internal transcribed spacer-1 (ITS1). Among molecularly diagnosed 22 cutaneous leishmaniasis cases, L. donovani complex was identified in 13 instances and L. major in 9 cases. The ITS1 PCR was positive in 12 of the positive nested- kDNA PCR cases (12/22), confirming L. donovani complex in seven of the cases and L. major in five of the cases. In addition, the study conclude that concurrent occurrence of atypical cutaneous infections caused by L. donovani parasite in 59.1% of cases and typical cutaneous infections caused by L. major parasite in 40.9% of cases. A Phylogentic analaysis showed that the detected L. donovani species present null genetic distances from seven references of L. donovani, but slight differences between ITS1 sequences and not grouped into a significant monophyletic cluster.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.307
Teacher spread0.256 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2023
Admission routes1
Has abstractyes

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