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Record W2756383745 · doi:10.5539/jmbr.v7n1p122

Clinical and Laboratory Presentations of Leptospirosis Patients in North of Iran

2017· article· en· W2756383745 on OpenAlexvenueno aff
Mostafa Javanian, Masomeh Bayani, Moharam Esfandiar, Arefeh Babazadeh, Soheil Ebrahimpour

Bibliographic record

VenueJournal of Molecular Biology Research · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicLeptospirosis research and findings
Canadian institutionsnot available
FundersBabol University of Medical Sciences
KeywordsLeptospirosismyalgiaMedicineLeukocytosisZoonosisDiseaseInternal medicinePediatricsEpidemiologyVeterinary medicine

Abstract

fetched live from OpenAlex

Leptospirosis is a zoonosis that common in warm and tropical regions with global spread and it is an occupational disease. The aim of recent study was to evaluate the clinical and Para clinical findings of leptospirosis patients in Babol, northern of Iran. In this cross-sectional study, 118 patients with high suspicion to leptospirosis admitted to hospitals of Babol University of Medical Sciences, Babol, Iran, during 2009 -2011. Thirty one cases with positive finding (IFA) were enrolled as definitive Patients. Clinical and Para clinical data for all patients were recorded. The mean age of the confirmed ‎patients (male: 71%, rural: 90.5%) was 48.5 years (range 18-80 years old). The commonest chief complaints were fever (71%) and ichter (19%) and among the clinical features of them fever (90.5%), gastro intestinal signs (80.5%), ichter (71%) and headache(68%) was the most prevalent ones. Weil's syndrome occurred in 10 (32%) patients. Thrombocytopenia and leukocytosis were noticed in 80.5% and 42% of the patients respectively. Transaminases in 80.5% of cases were above the normal upper limit. Based on current study, the most of leptospirosis patients were farmers and presented in hot seasons. The commonest clinical and laboratory pattern of this disease in our region was fever, ichter, myalgia and headache in conjunction with Mild elevations in levels of transaminases and thrombocytopenia that can be used as a good marker in early clinical diagnosis and treatment.

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)0.003
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 score0.141
Threshold uncertainty score0.847

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.436
Teacher spread0.369 · 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
Published2017
Admission routes1
Has abstractyes

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