Evidence map›Paper›PMID 42072782›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Rapid Molecular Diagnostics for Bloodstream Infection in Patients with Chronic Kidney Disease.

Ayman Elbehiry, Eman Marzouk, Adil Abalkhail, Sulaiman Anagreyyah, Abdulrhman Almalki, Naif Alazwari, Hatim Ramza, Abdulilah Alsolami, Ayman Alghamdi

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Ayman ElbehiryDepartment of Public Health, College of Applied Medical Sciences, Qassim University, P.O. Box 6666, Buraydah 51452, Saudi Arabia.ORCID 0000-0001-7726-9532
Eman MarzoukDepartment of Public Health, College of Applied Medical Sciences, Qassim University, P.O. Box 6666, Buraydah 51452, Saudi Arabia.ORCID 0000-0003-1699-6263
Adil AbalkhailDepartment of Public Health, College of Applied Medical Sciences, Qassim University, P.O. Box 6666, Buraydah 51452, Saudi Arabia.ORCID 0000-0002-2294-9837
Sulaiman AnagreyyahFamily Medicine Department, King Fahad Armed Hospital, Jeddah 23311, Saudi Arabia.
Abdulrhman AlmalkiCardiology Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Naif AlazwariNephrology Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Hatim RamzaNephrology Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Abdulilah AlsolamiNephrology Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.
Ayman AlghamdiRadiology Department, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infection (BSI) is a major cause of morbidity and mortality in patients with chronic kidney disease (CKD), particularly those receiving hemodialysis. Delayed identification of pathogens and their resistance profiles can lead to inappropriate therapy and adverse outcomes. This review evaluates rapid molecular diagnostic approaches for detecting pathogens and resistance markers in BSI, with emphasis on their application in CKD. These technologies provide faster microbiological information by enabling direct or accelerated detection of pathogens and selected resistance determinants. Clinical studies indicate that their use supports prompt adjustment of antimicrobial therapy, especially when combined with antimicrobial stewardship and applied after blood culture positivity. In CKD, identification of the causative organism facilitates treatment selection aligned with renal function and helps reduce unnecessary exposure to nephrotoxic agents. However, diagnostic accuracy differs among platforms, and detection of resistance genes does not consistently reflect phenotypic susceptibility. Furthermore, most evidence is derived from mixed hospital populations rather than CKD-specific cohorts. These factors require careful interpretation within the clinical context. Rapid molecular diagnostics can enhance antimicrobial decision-making in BSI, but their effectiveness depends on integration with conventional microbiology and structured care pathways. Further research in CKD populations is required to clarify their impact on clinical outcomes and to support implementation in nephrology practice.

Indexed as

antibiotic resistanceantimicrobial stewardshipbloodstream infectionchronic kidney diseasegenotype-phenotype concordancehemodialysisrapid molecular diagnostics

Identifiers

PMID42072782
PMCPMC13115107

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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.