ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2026
A standardized workflow for typing S. marcescens outbreaks using FT-IR spectroscopy.
Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 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
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeIn this study, we evaluated the performance of FT-IR spectroscopy for clonality assessment of Serratia marcescens by comparing its clustering output to that of whole-genome sequencing (WGS), using core genome single nucleotide polymorphism (cgSNP) analysis as reference.
methodsA genetically diverse set of Serratia marcescens clinical isolates was collected from different hospitals in Belgium and measured with FT-IR spectroscopy in biological triplicate to assess reproducibility and in turn build a robust reference set. WGS data of the isolates was available and used to assess the performance of FT-IR spectroscopy.
resultsFT-IR spectroscopy showed good overall concordance with WGS (Adjusted Rand Index [ARI] of 0.755), but the level of agreement was insufficient to support the use of a single fixed cut-off value (COV) for clinical outbreak interpretation. To address this, a standardized workflow was developed incorporating multiple COVs to interpret clustering with varying level of confidence. This approach was validated using three unrelated S. marcescens outbreak case studies in neonatal intensive care units. The workflow yielded clustering results that matched WGS-based analyses and allowed clonality assessments within 24 h after isolate recovery.
conclusionIn conclusion, FT-IR spectroscopy can serve as a first-line screening tool to rapidly identify clonal clusters of S. marcescens, reducing turnaround time and limiting the number of isolates requiring confirmatory WGS, thereby considerably lowering overall outbreak investigation costs.
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.