Evidence map›Paper›PMID 40585877›Full record

ArticleInfection prevention in practice2025

Antibiotic resistance profiles in Gram-negative bacteria causing bloodstream and urinary tract infections in paediatric and adult patients in Ndola District, Zambia, 2020-2021.

Kaunda Yamba, Joseph Yamweka Chizimu, Raphael Chanda, Mirfin Mpundu, Mulemba Tillika Samutela, Duncan Chanda, Steward Mudenda, Misa Finjika, Bweendo Nduna Chansa, Amon Siame and 6 more

Abstract read
In one paragraph

Article in Infection prevention in practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Trends in Antibiotic Resistance ofPathogens (Basel, Switzerland) · 2025
    Article
  6. 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

16 authors.

Kaunda YambaDepartment of Pathology & Microbiology Laboratory, University Teaching Hospitals, Lusaka, Zambia.
Joseph Yamweka ChizimuAntimicrobial Resistance Cluster, Zambia National Public Health Institute, Lusaka, Zambia.
Raphael ChandaDepartment of Pathology & Microbiology Laboratory, University Teaching Hospitals, Lusaka, Zambia.
Mirfin MpunduReAct Africa, Plot 1716/M, Main Street Ibex Hill, Lusaka, Zambia.
Mulemba Tillika SamutelaDepartment of Biomedical Sciences, School of Health Sciences, University of Zambia, Lusaka, Zambia.
Duncan ChandaAdult Centre of Excellence, University Teaching Hospital, Lusaka, Zambia.
Steward MudendaDepartment of Pharmacy, School of Health Sciences, University of Zambia, Lusaka, Zambia.
Misa FinjikaNdola Teaching Hospital, Ndola, Zambia.
Bweendo Nduna ChansaArthur Davison Children Hospital, Ndola, Zambia.
Amon SiameDepartment of Pathology & Microbiology Laboratory, University Teaching Hospitals, Lusaka, Zambia.
Fanny MbeweNdola Teaching Hospital, Ndola, Zambia.
Moses ChakopoArthur Davison Children Hospital, Ndola, Zambia.
Andrew MukubesaDepartment of Disease Control, School of Veterinary Medicine, University of Zambia, Lusaka, Zambia.
Patrice MukomenaDepartment of Medicine and Clinical Sciences, School of Medicine, Eden University, Lusaka, Zambia.
Flavien Nsoni BumbangiDepartment of Medicine and Clinical Sciences, School of Medicine, Eden University, Lusaka, Zambia.
John Bwalya MumaArthur Davison Children Hospital, Ndola, Zambia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Bloodstream infections (BSIs) and urinary tract infections (UTIs) caused by antibiotic resistant bacteria (ARB) have unfavourable treatment outcomes and negative economic impacts. Objectives: The main objective of this study was to determine antibiotic resistance profiles in Gram-negative bacteria (GNB) causing BSIs and UTIs. Method: A prospective study from October 2020 to January 2021 at Ndola Teaching Hospital and Arthur Davison Children's Hospital in the Ndola district, Zambia. Blood and urine samples collected from inpatients and outpatients presenting with fever and/or urinary tract infection symptoms were submitted for microbiological analysis. Pathogen identification and antibiotic susceptibility was determined by the automated VITEK 2 Compact machine. Resistance genes to commonly used antibiotics were determined using polymerase chain reaction. Data were analysed using SPSS version 28.0. Results: One hundred and ten GNB were isolated, Conclusion: High level antibiotic resistance was observed in GNB known to be prevalent causative agents of BSIs and UTIs locally in Zambia. Improving microbiology diagnostic capacity, strengthening antimicrobial stewardship programs and enforcing infection prevention and control measures are of utmost importance in promoting rational use of antibiotics and preventing the spread and emergence of resistant pathogens.

Indexed as

Antimicrobial resistanceBloodstream infectionGram-negative bacteriaNdolaUrinary tract infectionsZambia

Identifiers

PMID40585877
PMCPMC12206026

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.