Evidence map›Paper›PMID 42515094›Full record

SynthesisPathogens (Basel, Switzerland)2026

Clinical Predictors of Mortality in Severe Fever with Thrombocytopenia Syndrome: An Updated Systematic Review and Meta-Analysis.

Ke-Xin Wang, Guo-Mei Xia, Yu-Han Liu, Shuai-Ru Jiao, Yu-Feng Gao, Sheng-Qun Deng

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Pathogens (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ke-Xin WangThe Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Guo-Mei XiaThe Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.
Yu-Han LiuDepartment of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China.
Shuai-Ru JiaoDepartment of Pathogen Biology, School of Basic Medical Sciences, Anhui Medical University, Hefei 230032, China.
Yu-Feng GaoDepartment of Infectious Diseases, The First Affiliated Hospital of Anhui Medical University, Hefei 230022, China.ORCID 0000-0003-1822-8161
Sheng-Qun DengThe Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China.ORCID 0000-0003-0901-7661

Funding

Anhui Provincial Department of Education Scientific Research Foundation 2025AHGXZK30103Anhui Provincial Special Fund for Clinical Medical Research Transformation 202304295107020040National Natural Science Foundation of China 82370608
6 · The paper itself

Abstract

Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne disease with a high case fatality rate and no specific treatment. Identifying robust clinical predictors of mortality is crucial for improving patient outcomes. This systematic review and meta-analysis aimed to comprehensively evaluate the association of underlying diseases, hemorrhagic symptoms, neurological signs, and complications with fatal outcomes in SFTS patients. We systematically searched PubMed, Web of Science, CNKI, and Wan Fang databases up to 1 March 2026 for observational studies. Pooled odds ratios (ORs) with 95% confidence intervals (CIs) were calculated using fixed- or random-effects models. Forty-five studies, encompassing 8078 patients (1729 deaths), were included. Underlying diabetes (OR = 1.77) and hypertension (OR = 2.38) were significant risk factors. Among hemorrhagic symptoms, systemic manifestations (OR = 4.19), melena (OR = 4.26), and petechiae (OR = 3.20) were strong predictors. Neurological symptoms, particularly coma (OR = 55.07), were the most powerful predictors of death. Complications like multiple organ dysfunction syndrome (MODS, OR = 19.77) and disseminated intravascular coagulation (DIC, OR = 12.02) also significantly increased mortality risk. The findings confirm that a range of clinical features, from underlying conditions to severe neurological and organ complications, are strongly associated with SFTS mortality. These predictors can guide clinicians in early risk stratification and intensive monitoring, especially in high-risk patients, to potentially reduce the high case-fatality rate.

Indexed as

Severe Fever with Thrombocytopenia SyndromeHumansPrognosisRisk FactorsBandavirus dabieensecomplicationsmeta-analysismortalityneurological manifestationsrisk factorssevere fever with thrombocytopenia syndromeSFTS

Identifiers

PMID42515094
PMCPMC13415309

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.