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Comparison of laboratory methods for diagnosis of human visceral leishmaniasis in the Center-West Region of São Paulo State, Brazil

2023· article· en· W4389372925 on OpenAlexaff
Lívia Carla Ramos, Kethlyn Magliani de Figueiredo Reihner, Luciana da Silva Ruiz, Laís Anversa, Sâmea Fernandes Joaquim, José Eduardo Tolezano, Diego B. Nóbrega, Virgínia Bodelão Richini‐Pereira

Bibliographic record

VenueActa Scientiarum Health Sciences · 2023
Typearticle
Languageen
FieldMedicine
TopicResearch on Leishmaniasis Studies
Canadian institutionsUniversity of Calgary
FundersFundação de Amparo à Pesquisa do Estado de São Paulo
KeywordsVisceral leishmaniasisSerologyMedicinePolymerase chain reactionLeishmaniasisInternal medicineImmunologyPathologyAntibodyBiology

Abstract

fetched live from OpenAlex

Visceral leishmaniasis (VL) is a neglected disease and represents an important public health problem. The present study aimed to compare the conventional laboratory methods with the molecular method for VL diagnosis in human blood samples. Direct parasitological test of bone marrow aspirate (direct parasitological test), rapid immunochromatographic test (RIT), indirect immunofluorescent antibody test (IFAT) and polymerase chain reaction (PCR) were used to evaluate 26 human samples with clinical suspicion of VL. The positivity rates obtained for direct parasitological test, RIT, IFAT and PCR were 80.8%, 80.8%, 73.1% and 84.6%, respectively. PCR had greater positivity and agreement with the other methodologies. Therefore, the use of PCR in the diagnostic routine should be encouraged to complement the serological results.

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)0.010
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 score0.033
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.140
GPT teacher head0.513
Teacher spread0.373 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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