Incidence of Urinary Tract Infection among Diabetic Patients in Abakaliki Metropolis
Bibliographic record
Abstract
The investigation of urinary tract infection (UTI) among diabetic patients 15-51 years and above was assessed using 100 mid-stream urine specimen with the objective of isolating and identifying different types of bacteria and their respective frequencies among diabetic patients attending diabetic clinic at Alex Ekwueme Federal University Teaching Hospital, Abakaliki. A urine culture was performed combined with a full report of urine to establish the diagnosis. The result showed that the majority of bacteria in urinary tract infections were in 27-32 years of age group (71.4%) and lowest in 15-20 years age group (0%). The predominant bacteria isolates and their percentage occurrences include; Escherichia coli (39.13%), Klebsiella pneumonia (21.74%), Proteus (8.69%), Pseudomonas aeruginosa (8.69%), Streptococcus (8.69%), Staphylococcus aureus (6.52%), Enterococcus faecalis (4.25%). There was a high prevalence of the isolated organisms in female (47.7%) compared to males (36%). It follows that most predominant agent of UTI in diabetic patients in Abakaliki Metropolis is Escherichia coli followed by Klebsiella pneumonia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".