Evidence map›Paper›PMID 41835199›Full record

ArticleInfection and drug resistance2026

The Red Cell Distribution Width to Albumin Ratio as a Novel Prognostic Predictor in Patients with Severe Fever with Thrombocytopenia Syndrome: A Multicenter Study in China.

Jingxia Wang, Ruize Ma, Xiaoyu Xue, Ranran Wang, Hongxiao Wu, Ling Lin, Jianping Duan, Zhihai Chen

Abstract read
In one paragraph

Article in Infection and drug resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Jingxia Wang *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Ruize Ma *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Xiaoyu Xue *Department of Infectious Disease, Peking University Ditan Teaching Hospital, Beijing, People's Republic of China.
Ranran WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
Hongxiao WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0003-4425-7214
Ling LinDepartment of Infectious Diseases, Yantai City Hospital for Infectious Disease, Yantai, People's Republic of China.
Jianping DuanDepartment of Infectious Disease, Qingdao No 6 People's Hospital, Qingdao, People's Republic of China.
Zhihai ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0000-0001-6481-4781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Severe Fever with Thrombocytopenia Syndrome (SFTS) is an emerging infectious disease characterized by high mortality rate. This study aimed to explore the predictive ability of the red blood cell distribution width to albumin ratio (RAR) for mortality risk in SFTS. Patients and Methods: A total of 650 hospitalized SFTS patients from two centers were randomly assigned to a training (N = 455) and validation (N = 195) cohort at a 7:3 ratio. Independent risk factors were identified by constructing the LASSO regression model and Cox regression model. The predictive power and clinical benefit of risk factors were assessed using receiver operating characteristic (ROC) and decision curve analysis (DCA), respectively, with the nomogram visualizing the model. Kaplan-Meier curve and the Log rank test were employed to compare survival probabilities. Results: The 650 patients had a median age of 66 years. Deceased exhibited a significantly higher RAR value than survivors (4.61 vs 3.77, Conclusion: Baseline higher RAR levels were associated with an increased risk of death in SFTS patients. RAR may serve as a valuable predictor of mortality in SFTS patients during the early stage of disease.

Indexed as

albuminmortalityprognosisred blood cell distribution widthsevere fever with thrombocytopenia syndrome

Identifiers

PMID41835199
PMCPMC12984058

What Socratic holds

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Registered trials

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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.