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Estudo clínico-epidemiológico da doença de Chagas no distrito de Serra Azul, Mateus Leme, centro-oeste do Estado de Minas Gerais

2010· article· pt· W2018758094 on OpenAlexaff
Élvio Marques da Silva, Manoel Otávio da Costa Rocha, Rian César Silva, Gilmar do Carmo Paixão, Haendel Buzzati, Alessandra Nogueira Santos, Maria Carmo Pereira Nunes

Bibliographic record

VenueRevista da Sociedade Brasileira de Medicina Tropical · 2010
Typearticle
Languagept
FieldMedicine
TopicTrypanosoma species research and implications
Canadian institutionsCentre Casa
Fundersnot available
KeywordsGeography

Abstract

fetched live from OpenAlex

INTRODUCTION: Chagas disease remains a severe public health problem in Latin America, despite control over its transmission. This study evaluated the prevalence of Chagas disease in the Serra Azul district, in the central-western region of the State of Minas Gerais, through identifying electrocardiographic (EKG) abnormalities among serologically positive individuals. METHODS: Specific serological tests for Chagas disease were carried out on 676 individuals (48% of the population). Clinical examinations and EKGs were performed on the serologically positive population. A control group was selected for comparison with the EKG data. RESULTS: The study population lived mainly in rural areas, with low sociocultural level. Forty subjects were positive (prevalence of 2.1%). The individuals with Chagas disease were in an older age group (67 vs. 39 years; p < 0.001). EKG abnormalities were frequent among the individuals with Chagas disease (79%). Among the seropositive individuals, the EKGs showed greater prevalence of ventricular premature beats and conduction disorder of the right branch alone or in association with anterosuperior division blockage, in relation to the controls. CONCLUSIONS: The prevalence of Chagas disease in the Serra Azul district was 2.1%. The seropositive individuals were in an older group, thus suggesting that transmission had been brought under control. EKG abnormalities occurred frequently, and conduction disorders of the right branch predominated.

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)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.134
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0020.006
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.342
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

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

Citations18
Published2010
Admission routes1
Has abstractyes

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