Evidence map›Paper›PMID 37873539›Full record

ArticleOpen medicine (Warsaw, Poland)2023

Prevalence and antibiogram of bacteria causing urinary tract infection among patients with chronic kidney disease.

Tika Bahadur Thapa, Sushant Pokhrel, Anit Lamichhane, Vinay Kumar Singh, Ojaswee Shrestha, Manisha Sapkota, Puspa Raj Khanal

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Open medicine (Warsaw, Poland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% of its field
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Tika Bahadur ThapaDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Soalteemode, Kathmandu, Nepal.
Sushant PokhrelDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Soalteemode, Kathmandu, Nepal.
Anit LamichhaneDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Soalteemode, Kathmandu, Nepal.
Vinay Kumar SinghDepartment of Pathology, Sumeru Hospital Pvt Ltd, Dhapakhel, Lalitpur, Nepal.
Ojaswee ShresthaDepartment of Pathology, Sumeru Hospital Pvt Ltd, Dhapakhel, Lalitpur, Nepal.
Manisha SapkotaDepartment of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences, Soalteemode, Kathmandu, Nepal.
Puspa Raj KhanalDepartment of Pathology, Sumeru Hospital Pvt Ltd, Dhapakhel, Lalitpur, Nepal.
Manmohan Memorial Institute of Health Sciences · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying and appropriately managing urinary tract infections (UTIs) among chronic kidney disease (CKD) patients are essential to reduce further disease complications and economic burden. Hence, this study aims to determine the prevalence of UTIs among CKD patients and study the antibiogram of the bacterial isolates. Four hundred eighty-two clean catch midstream urine samples were collected from CKD patients during the study period. The samples were cultured, and bacteria were isolated using standard microbiological techniques. Antibiotic susceptibility testing was performed by the Kirby-Bauer disc diffusion method following the Clinical and Laboratory Standards Institute guidelines. Of the 482 CKD patients, 15.8% were culture positive, and the majority was elderly aged group population. Most bacterial isolates were

Indexed as

antimicrobial resistancechronic kidney diseaseNepalurinary tract infection

Identifiers

PMID37873539
PMCPMC10590610
OpenAlexW4387775087

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.