Evidence map›Paper›PMID 39963929›Full record

Observational studyJournal of medical virology2025

Geriatric Nutritional Risk Index Plays Important Role in Predicting In-Hospital Mortality in Patients With Severe Fever With Thrombocytopenia Syndrome: A Multi-Center Observational Study.

Tingyu Zhang, Yanli Xu, Ziruo Ge, Di Tian, Chenxi Zhao, Qi Zhao, Ling Lin, Zhensheng Liu, Zhihai Chen

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of medical virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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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

9 authors.

Tingyu ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Yanli XuDepartment of Infectious Diseases, Yantai Qishan Hospital, Yantai, China.
Ziruo GeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Di TianNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0002-8260-8575
Chenxi ZhaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.
Qi ZhaoDepartment of Cardiology, Cardiovascular Center, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Ling LinDepartment of Infectious Diseases, Yantai Qishan Hospital, Yantai, China.
Zhensheng LiuDepartment of Infectious Diseases, Qing Dao No. 6 People's Hospital, Qingdao, China.
Zhihai ChenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6481-4781

Funding

This study is supported by the science fundation of Beijing Ditan Hospital, Capital Medical University (DTYM-202403), National Science and Technology Major Project of China (2018ZX09711003), National Natural Science Foundation of China (82072295).
6 · The paper itself

Abstract

Geriatric nutritional risk index (GNRI) has been proposed as a reliable indicator of nutritional state and, when decreased, is closely associated with the severity and mortality risk of infectious disease. The current study retrospectively recruited patients who were admitted for SFTS from January 1, 2011 to January 1, 2024 at six medical centers. Two hundred and eighty-two patients with SFTS who met the study protocol were finally enrolled in this study. Sixty patients suffered in-hospital death during hospitalization, with a mortality rate of 21.3%. After adjustment of multiple models, GNRI remained a significant predictor of in-hospital death, either examining HR by evaluating 1-unit decrease of GNRI or by taking the higher median of GNRI as reference (all p < 0.05). GNRI displayed a moderate-to-high strength in predicting in-hospital death, with an area under the receiver operating characteristic curve (AUC) of 0.791 [95% confidence interval (CI) 0.725-0.857, p < 0.001]. The addition of GNRI to a former established model exhibited significant improvement in the predictive value for in-hospital death. GNRI, an important indicator simply calculated from ALB and BMI, is significantly and independently related to the risk of in-hospital death in patients with SFTS.

Indexed as

Geriatric AssessmentHospital MortalityNutritional StatusNutrition AssessmentSevere Fever with Thrombocytopenia SyndromeAgedAged, 80 and overFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk FactorsROC Curvegeriatric nutritional risk indexin‐hospital mortalitysevere fever with thrombocytopenia syndrome

Identifiers

PMID39963929
PMCPMC11834140

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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 OpenQuestion graph.