ArticleBMC infectious diseases2025
Clinical characteristics and outcomes of disseminated intravascular coagulation in patients with severe fever with thrombocytopenia syndrome.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Whole-body CT characteristics of patients with severe fever with thrombocytopenia syndrome.Japanese journal of radiology · 2026Article
- Machine learning models for early mortality prediction in severe fever with thrombocytopenia syndrome.iScience · 2026Article
- Development and validation of an interpretable machine learning model for the early diagnosis of invasive pulmonary aspergillosis in patients with severe fever with thrombocytopenia syndrome: a retrospective cohort study.Frontiers in cellular and infection microbiology · 2026Article
- A novel prognostic nomogram for elderly patients with severe fever with thrombocytopenia syndrome.BMC geriatrics · 2025Article
- Unveiling fatal risk factors: Predicting hemophagocytic lymphohistiocytosis in SFTS patients.PLoS neglected tropical diseases · 2025Article
- Serum proteomics and machine learning identify PSMD11 as a prognostic biomarker in severe fever with thrombocytopenia syndrome.Frontiers in immunology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUntil recently, severe fever with thrombocytopenia syndrome (SFTS)-related disseminated intravascular coagulation (DIC) had not been elucidated. This study aimed to explore the clinical characteristics and outcomes of DIC in patients with SFTS.
methodsPatients diagnosed with SFTS who were admitted to Zhongnan Hospital of Wuhan University from August 2016 to October 2023 were included. Patients' demographics and clinical data were collected. According to the presence of DIC, they were assigned into the DIC and non-DIC groups. Independent risk factors for prognosis were identified by univariate and multivariate logistic regression analyses.
resultsA total of 246 consecutive patients diagnosed with SFTS were enrolled, including 216 (87.8%) patients in the non-DIC group and 30 (12.2%) patients in the DIC group. ALT, AST, ALP, GGT, LDH, creatinine, cystatin-C, amylase, lipase, CK, CK-MB, troponin I, BNP, PT, PTA, APTT, TT, FDP, D-dimer, CRP, procalcitonin, IL-6, SAA, ESR, ferritin levels, and viral load were significantly higher in patients with DIC. The cumulative survival rate of patients with DIC was significantly lower than that of patients without DIC. Furthermore, it is demonstrated that the presence of DIC was an independent risk factor for in-hospital mortality of patients with SFTS.
conclusionDIC is a potential complication and is associated with high mortality in patients with SFTS. Early recognition and timely management of this serious complication are important for patients with SFTS.
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.