ArticleScience progress
Identification of red cell distribution width trajectory patterns and their association with 28-day mortality in intensive care unit patients with atrial fibrillation: A latent class analysis.
Article in Science progress. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BackgroundRed cell distribution width (RDW) has been identified as a potential prognostic marker in multiple cardiovascular and critical illnesses. Nevertheless, its prognostic value, particularly regarding changes in RDW over time among patients with atrial fibrillation (AF), remains uncertain.MethodsA retrospective cohort study was conducted using data from the Medical Information Mart for Intensive Care (MIMIC)-IV database. The study included adult intensive care unit (ICU) patients with AF who had at least three RDW measurements within the first 36 h of ICU admission. Latent growth mixture modeling (LGMM) was applied to identify distinct RDW progression patterns over time. The association between the identified RDW trajectory groups and 28-day mortality was assessed using Cox proportional hazard regression. Kaplan-Meier survival curves and subgroup analyses were also conducted.ResultsA total of 3509 patients were enrolled in the analysis. LGMM identified three distinct RDW trajectories: Class 1 (stable and low RDW), Class 2 (moderate with a rising RDW) and Class 3 (high with fluctuating RDW). After adjusting for demographics, clinical parameters, comorbidities and treatments, Class 2 remained independently associated with higher 28-day mortality compared with Class 1 (
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.