ArticleFrontiers in antibiotics2026
Isolation and identification of antibiotic-resistant bacteria in hospital tap water.
Article in Frontiers in antibiotics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Hospital tap water can act as a reservoir of opportunistic and potentially antibiotic-resistant bacteria, yet baseline data on the bacterial communities and antimicrobial resistance profiles of premise-plumbing systems remain scarce in Iraq. This study investigated the bacterial species present in hospital tap water and their antibiotic resistance profiles, with the aim of supporting infection control measures in healthcare settings. Methods: Tap water samples were collected from three hospitals in Babil Governorate, Iraq (Merjan Teaching Hospital, Turkish Hospital, and Al-Jiumhori Hospital) and were processed for heterotrophic plate counts and bacterial isolation. Isolates were identified to the species level using the VITEK 2 Compact automated phenotypic system, and antimicrobial susceptibility was determined on the same platform and interpreted according to Clinical and Laboratory Standards Institute guidelines. Results: A total of 11 bacterial isolates were recovered. The highest bacterial load was recorded in the Turkish Hospital sample (3.43 × 10 Discussion: Because several species were represented by a single isolate and identification relied on an automated phenotypic platform, these resistance estimates are descriptive and should be interpreted with caution. The findings nonetheless confirm the presence of opportunistic and potentially resistant bacteria in hospital tap water and underscore the need for routine microbiological monitoring and improved water safety protocols.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.