ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2026
Dynamic risk stratification in burn sepsis: methodological considerations and path forward.
Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundLou et al. recently reported that longitudinal trajectories of albumin, IL-6, and immunoglobulin G define three distinct prognostic phenotypes in burn patients with sepsis, with markedly divergent 21‑day mortality.
objectiveTo critically evaluate the methodological framework of the study and propose constructive refinements to enhance clinical translatability.
findingsWhile the trajectory-based phenotyping represents a significant advance, four areas warrant attention: (1) the choice of clustering markers-albumin's sensitivity to fluid shifts and the omission of cellular immune markers may limit phenotypic resolution; (2) the requirement for complete longitudinal data introduces survivorship bias that joint modeling could address; (3) time‑varying clinical interventions likely modify biomarker trajectories and should be incorporated; and (4) early prediction algorithms are needed to enable phenotype assignment within the first days of admission.
conclusionAddressing these considerations would strengthen the robustness of the proposed phenotypes and accelerate their integration into dynamic, personalized management strategies for burn sepsis.
Indexed as
Identifiers
41998330What Socratic 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 Socratic graph.