Evidence map›Paper›PMID 34646592›Full record

ArticleCureus2021

Uropathogens Antimicrobial Sensitivity and Resistance Pattern From Outpatients in Balochistan, Pakistan.

Taimoor Hussain, Mehdi Moqadasi, Sheza Malik, Asjad Salman Zahid, Kefayatullah Nazary, Shafi M Khosa, Mohammad Mohsin Arshad, John Joyce, Rajeswari Khan, Sneha Puvvada and 2 more

Abstract read
In one paragraph

Article in Cureus, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular characterization of blaBMC infectious diseases · 2025
    Article
  4. Article
  5. Antibiotic Resistance among Patients with Urinary Tract Infections in Kandahar, Afghanistan.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine
    Article
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

12 authors.

Taimoor HussainNeurology/General Practitioner, Bolan Medical College, Quetta, PAK.
Mehdi MoqadasiMedical Laboratory Technology, Shafa Khana Sahib Zaman Hosptial, Quetta, PAK.
Sheza MalikMedicine, Army Medical College Rawalpindi, Rawalpindi, PAK.
Asjad Salman ZahidInternal Medicine, Allama Iqbal Memorial Teaching Hospital, Lahore, PAK.
Kefayatullah NazaryInternal Medicine, Kabul University of Medical Science, Kabul, AFG.
Shafi M KhosaPathologist, Bolan Medical College, Quetta, PAK.
Mohammad Mohsin ArshadInternal Medicine, Multan Medical and Dental College, Multan, PAK.
John JoyceIntern, M.S. Ramaiah Medical College, Bangalore, IND.
Rajeswari KhanMedicine and Surgery, College of Medicine & Sagore Dutta Hospital, Kolkata, IND.
Sneha PuvvadaMedicine and Surgery, M.S. Ramaiah Medical College, Bangalore, IND.
Khalida WalizadaNeurological Surgery, Ali Abad Teaching Hospital, Kabul, AFG.
Abdul Rahim KhanInternal Medicine, Jinnah Medical and Dental College, Karachi, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To determine the pattern of microbes responsible for urinary tract infections and their susceptibility to different antibiotics. Method This is a cross-sectional study conducted at Quetta, Pakistan. The urine samples of 400 patients were collected and sent for culture and sensitivity analysis. The results were recorded on an excel datasheet. Descriptive statistics were used to describe the data. Results Out of 400 urine samples, 266 samples were culture positive for microorganisms. The most common organism on analysis was

Indexed as

antibiotic resistanceantimicrobial resistanceantimicrobial surveillancepakistanquettaurinary tract infectionsuropathogensuti

Identifiers

PMID34646592
PMCPMC8485873

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Registered trials

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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.