Evidence map›Paper›PMID 41497684›Full record

ArticleWorld journal of experimental medicine2025

Stepwise model to differentiate pathogenic from non-pathogenic organisms in urinary isolates: Effectiveness, safety, and feasibility prospective study.

Bimalesh Yadav, Jaideep Pilania, Ravi Kant, Balram Ji Omar, Sandeep Saini, Vikas Kumar Panwar, Yogesh Bahurupi, Prasan Kumar Panda

Abstract read
In one paragraph

Article in World journal of experimental medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Beyond the gut microbe: Rethinking infection, microbiome harmony, and the one-health continuum.World journal of gastrointestinal pharmacology and therapeutics · 2026
    Review
  2. Letter to the Editor: Urinary infection in European guidelines 2025World journal of experimental medicine · 2026
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Bimalesh YadavDepartment of Medicine, All India Institute of Medical Sciences, Rishikesh 249203, Uttarākhand, India.
Jaideep PilaniaDepartment of Medicine, All India Institute of Medical Sciences, Rishikesh 249203, Uttarākhand, India.
Ravi KantDepartment of Medicine, All India Institute of Medical Sciences, Rishikesh 249203, Uttarākhand, India.
Balram Ji OmarDepartment of Microbiology, All India Institute of Medical Sciences, Rishikesh 249203, Uttarākhand, India.
Sandeep SainiDepartment of Nephrology, All India Institute of Medical Sciences, Rishikesh 249203, Uttarākhand, India.
Vikas Kumar PanwarDepartment of Urology, All India Institute of Medical Sciences, Rishikesh 249203, Uttarakhand, India.
Yogesh BahurupiDepartment of Community Medicine, All India Institute of Medical Sciences, Nagpur 441108, Mahārāshtra, India.
Prasan Kumar PandaDepartment of Medicine, All India Institute of Medical Sciences, Rishikesh 249203, Uttarākhand, India. motherprasanna@rediffmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical decision-making in urinary tract infections depends heavily on accurately distinguishing between pathogenic and non-pathogenic organisms. The interpretation of urine culture results is influenced by proper sample collection, the patient's clinical context, and organism-specific characteristics. However, there is currently no definitive method to determine whether a urinary isolate is truly pathogenic. This distinction is critical, as treatment decisions hinge on it. This pioneering study systematically applies a stepwise model to differentiate pathogenic from non-pathogenic urinary isolates-an approach not previously described.

aimTo determine whether a urinary isolate is pathogenic (commensal, colonizer, or direct pathogen) or non-pathogenic (commensal, colonizer, or contaminant) using a structured, stepwise approach.

methodsThis prospective, longitudinal, exploratory study was conducted over 24 months, starting in January 2022, at All India Institute of Medical Sciences Rishikesh, following approval from the Institutional Ethics Committee. A stepwise model developed by the investigators was applied to assess the nature of the isolates. Data recorded using REDCap, and analysis was performed using SPSS Version 25.

resultsA total of 275 consecutive patients aged over 18 years with positive urine cultures-initially treated with antibiotics based on microbiological and clinical assessment-were included. The stepwise model classified 90.54% of cases as pathogenic (commensals: 61.81%, colonizers: 14.18%, and direct pathogens: 14.54%) and 9.45% as non-pathogenic. The model showed that there could be a significant reduction in average hospital stay by over 13 days, along with saving approximately Rs. 981 per patient in antibiotic costs in non-pathogenic cohort.

conclusionThis novel model identified that approximately one in ten urinary isolates, initially considered pathogenic and treated with antibiotics, were in fact non-pathogenic. The model is safe, feasible, and potentially valuable in resource-limited settings, warranting broader validation and implementation.

Indexed as

Clinical decision-makingColonizationContaminationFeasibility studiesInappropriate prescribing

Identifiers

PMID41497684
PMCPMC12767255

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