Evidence map›Paper›PMID 38617042›Full record

ArticleHealth science reports2024

Prevalence, antibiotic resistance pattern for bacteriuria from patients with urinary tract infections.

Md Jubayer Hossain, Abul Kalam Azad, Md Shahadat Bin Shahid, Muhibullah Shahjahan, Jannatul Ferdous

Abstract read
In one paragraph

Article in Health science reports, 2024. 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. Explainable machine learning for early detection ofFrontiers in cellular and infection microbiology · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Md Jubayer HossainPopulation Health Studies Division, Center for Health Innovation, Research Action, and Learning - Bangladesh (CHIRAL Bangladesh) Dhaka Bangladesh.ORCID 0000-0001-9323-4997
Abul Kalam AzadDepartment of Microbiology Jagannath University Dhaka Bangladesh.
Md Shahadat Bin ShahidPopulation Health Studies Division, Center for Health Innovation, Research Action, and Learning - Bangladesh (CHIRAL Bangladesh) Dhaka Bangladesh.ORCID 0000-0001-9065-8401
Muhibullah ShahjahanPopulation Health Studies Division, Center for Health Innovation, Research Action, and Learning - Bangladesh (CHIRAL Bangladesh) Dhaka Bangladesh.
Jannatul FerdousDepartment of Transfusion Medicine Mugdha Medical College and Hospital Dhaka Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Antibiotic resistance presents a significant global public health challenge, particularly for urinary tract infections (UTIs), and is notably severe in developing countries. Surveillance of the antimicrobial susceptibility patterns of UTI-causing bacteria is crucial for effective treatment selection. This study aimed to analyze these patterns in bacteria isolated from the urine samples of patients at Mughda Medical College Hospital, Dhaka, Bangladesh. Methods: A retrospective study (January 2019 to December 2020) at Mugdha Medical College and Hospital, Dhaka, examined clinical and laboratory data from patients with positive urine cultures (≥10 Results: Among 243 positive urine cultures in both community- and hospital-acquired UTIs, Conclusion: Old adults are particularly vulnerable to UTIs, with

Indexed as

antibiotic resistanceBangladeshsusceptibilityurinary tract infections (UTI)uropathogen

Identifiers

PMID38617042
PMCPMC11009458

What OpenQuestion 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 OpenQuestion graph.