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Record W1588403778 · doi:10.1111/hdi.12272

The prevalence of intestinal parasites in hemodialysis patients in <scp>B</scp>ushehr, <scp>I</scp>ran

2015· article· en· W1588403778 on OpenAlexvenueno aff
Afshin Barazesh, Moradali Fouladvand, Rahim Tahmasebi, Ali Heydari, Jamal Fallahi

Bibliographic record

VenueHemodialysis International · 2015
Typearticle
Languageen
FieldImmunology and Microbiology
TopicParasites and Host Interactions
Canadian institutionsnot available
FundersBushehr University of Medical Sciences
KeywordsMedicineHemodialysisBlastocystisDiarrheaInternal medicineDialysisFecesGastroenterologyBiologyMicrobiology

Abstract

fetched live from OpenAlex

Hemodialysis patients, due to a dysfunction of the immune response, are prone to a variety of opportunistic infections. Studies of intestinal parasitic infections in these patients are limited. Therefore, the present study was performed to determine the prevalence of these infections in patients on hemodialysis in Bushehr. In this cross-sectional study, fecal samples have been collected from all hemodialysis patients who were continuously referred from September 2011 to September 2012 to the dialysis center at Bushehr and tested using routine parasitological methods. From a total of 88 patients studied, 25 patients (28.4%) were infected with one or more intestinal parasites. Blastocystis hominis and Entamoeba coli with 13.6% and 6.7% prevalence had the highest prevalence among the patients, respectively. The age group 51-70 years had the highest rates of infection. Statistical analysis showed no relationship between sex and the risk of intestinal parasites. Seventeen percent of infected patients showed up with diarrhea and this relationship was statistically significant. Considering the high prevalence of intestinal parasitic infection among hemodialysis patients in Bushehr and also the high probability of infection in these patients, it is recommended that periodic examinations and screening patients during dialysis and before kidney transplantation should be a part of routine medical care.

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)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.019
GPT teacher head0.285
Teacher spread0.266 · 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.

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

Citations25
Published2015
Admission routes1
Has abstractyes

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