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Record W2753374802 · doi:10.1093/ofid/ofx163.1594

Molecular Detection of Enteropathogens from Diarrheic Stool of HIV-positive Patients in Gondar, Ethiopia

2017· article· en· W2753374802 on OpenAlex
Lubaba Seid, William Stokes, Abebe Genetu Bayih, Habtie Tesfa, Dylan R. Pillai

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOpen Forum Infectious Diseases · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnterobacteriaceae and Cronobacter Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineHuman immunodeficiency virus (HIV)DiarrheaVirologyInternal medicine

Abstract

fetched live from OpenAlex

Infectious diarrhea is a common problem in the developing world, especially among people living with HIV/AIDS. Traditional diagnostic methods such as stool culture and microscopic examination is limited by resources. The use of molecular diagnostics for enteropathogen detection in this region of sub-Saharan Africa has not been fully explored. To identify risk factors and characterize enteropathogens from diarrheic stools of HIV positive patients in Gondar, Ethiopia using multiplex molecular panels targeting key infectious agents. A cross-sectional study of 100 stool samples was performed. Samples were collected consecutively from HIV positive patients presenting with diarrhea at a local clinic in Gondar, a major center in NW Ethiopia. Genomic DNA was extracted from stool and processed in Canada using multiplex molecular panels (Allplex [Seegene Canada] and FilmArray [Biomerieux]). Correlations between patient characteristics, symptoms, public health risk factors and enteropathogen type(s) was explored using STATA (Version 14.1). Ninety-four samples were successfully analyzed by molecular methods. Six samples were excluded due to insufficient volumes. The mean age was 35 with 43% male, 17% living in a rural area, 24% with access only to well water and 74% practicing proper hand hygiene. The majority of patients (68%) were receiving HAART with 32% having CD4 counts greater than 500/µL. Multiple pathogens were detected in 95% of specimens, with 62% having 5 or more enteropathogens. Common bacteria, viruses and parasites detected were Shigella spp./enteroinvasive E. coli (80%), enterotoxigenic E. coli (72%), Norovirus (15%) and C. Parvum (8%). CD4 cell counts and use of HAART were not associated with type or number of enteropathogens detected, though the number of patients with CD4<200/µl was small (23%). Diarrheic stool from HIV-positive outpatients in Gondar, Ethiopia had on average 5 enteropathogens present in their stool. CD4 count was not predictive of pathogen type or number in this study. Shigella spp./enteroinvasive E. coli and enterotoxigenic E. coli are the major pathogens, not dissimilar to immunocompetent individuals in low income countries. All authors: No reported disclosures.

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.094
Threshold uncertainty score0.589

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.006
GPT teacher head0.268
Teacher spread0.262 · 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