Observational studyMedicine2025
Prediction of poor prognosis in patients with sepsis-induced coagulopathy.
Observational study in Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Coagulation risk in sepsis patients with elevated lactate-to-albumin ratio: a retrospective cohort study.BMC infectious diseases · 2026Article
- A Novel Composite Bioscore Integrating Biomarkers, Clinical Scores, and Comorbidity Indices for Prognostic Stratification in Sepsis.Journal of inflammation research · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
This study aims to evaluate the prognostic value of procalcitonin (PCT), lactate (Lac), and sequential organ failure assessment (SOFA) score in predicting poor outcomes in sepsis-induced coagulopathy (SIC) and develop a predictive model. Data from 96 SIC patients in Hebei General Hospital (September 2020-2023) were analyzed. Patients were divided into survival and death groups based on 28-day outcomes. General data, complications, infection sites, and laboratory parameters were compared. Logistic regression identified independent risk factors, and receiver operating characteristic curve analysis assessed the predictive value of PCT, Lac, SOFA scores, and the combined model. The 28-day mortality was 36.46%. Non-survivors had higher PCT, Lac, SOFA scores, prothrombin time-international normalized ratio, white blood cell count, and intensive care unit stays (P < .05). PCT, Lac, and SOFA scores were independent predictors. The predictive model equation was logit (P = death group) = 0.157 × SOFA score + 0.027 × PCT + 0.187 × Lac - 4.112. The areas under the curve (AUC) of the combined predictive model was 0.809 (95%, confidence intervals [95% CI]: 0.716-0.882), outperformed individual indicators with improved sensitivity and specificity. A combined model of PCT, Lac, and SOFA scores effectively predicts SIC prognosis, aiding clinical decision-making.
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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.