ArticleBioinformation2014
Antibiotic resistance of E. coli isolates from urine samples of Urinary Tract Infection (UTI) patients in Pakistan.
Article in Bioinformation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- Feathered innovation: transforming recycled keratin into bioactive micro/nanoparticles for bioactive keratin-based delivery platform.RSC advances · 2026Article
- Antibiotic resistance and β-lactam resistant genes among bacterial isolates from clinical, river water and poultry samples from Kathmandu, Nepal.JAC-antimicrobial resistance · 2025Article
- Article
- Carbapenem De-escalation in urinary tract infections: prevalence and outcomes among hospitalized patients.BMC infectious diseases · 2025Article
- aiGeneR 3.0: an enhanced deep network model for resistant strain identification and multi-drug resistance prediction inFrontiers in genetics · 2025Article
- Prevalence and antimicrobial susceptibility pattern of bacterial uropathogens among adult patients in Madinah, Saudi Arabia.BMC infectious diseases · 2023Article
- Antibiotic resistance in patients with urinary tract infections in Pakistan.Public health action · 2022Article
- Label-Free Electrochemical Microfluidic Chip for the Antimicrobial Susceptibility Testing.Antibiotics (Basel, Switzerland) · 2020Article
- Antibiotic procurement and ABC analysis for a comprehensive primary health care clinic in the Eastern Cape province, South Africa.Southern African journal of infectious diseases · 2020Article
- Plasmid mediated colistin resistantGut pathogens · 2020Article
- Extra-intestinal pathogenicVeterinary research forum : an international quarterly journal · 2019Article
- Antimicrobial use by WHO methodology at primary health care centers: a cross sectional study in Punjab, Pakistan.BMC infectious diseases · 2018Article
- Imipenem resistance in clinical Escherichia coli from Qom, Iran.BMC research notes · 2018Article
- High prevalence of multidrug-resistance uropathogenic Escherichia coli strains, Isfahan, Iran.Journal of natural science, biology, and medicineArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug resistance is becoming alarming with the passage of time worldwide in general and in third world countries in particular. Human urine specimens of patients of urinary tract infection at Sheikh Zayed hospital, Lahore, Pakistan were analyzed for drug resistance in Escherichia coli. A total of 69 Escherichia coli isolates from human urine specimens were obtained and screened for their antibiograms. A total of seven antibiotic resistance profiles were obtained with over 65% of the isolates showing multi-drug resistance. Very high resistance levels were detected against augmentin and gentamicin (87.5 &77.5 % respectively) while imipenem and tazocin recorded the least resistance levels (32.5% and 12.5% respectively) among the isolates.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.