Evidence map›Paper›PMID 41282998›Full record

ArticleInfection and drug resistance2025

Risk Factors for 30-Day Prognosis of Hemorrhagic Fever with Renal Syndrome in the Dali Region, China.

Lihua Huang, Qiaolu Yan, Xiu Mei Gao, Wei Gu

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. 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

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Lihua HuangDepartment of Infectious Diseases, The First Affiliated Hospital of Dali University, Dali, Yunnan, People's Republic of China.ORCID 0009-0005-3588-3565
Qiaolu YanDepartment of Pulmonary and Critical Care Medicine, People's Hospital of Dali Bai Autonomous Prefecture, Dali, Yunnan, People's Republic of China.
Xiu Mei GaoDepartment of Infectious Diseases, Lijiang People's Hospital, Lijiang, Yunnan, People's Republic of China.
Wei GuDepartment of Infectious Diseases, The First Affiliated Hospital of Dali University, Dali, Yunnan, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the risk factors for 30-day prognosis in patients with hemorrhagic fever with renal syndrome (HFRS) in the Dali region of China, and to provide a theoretical basis for the diagnosis and treatment of HFRS. Methods: A retrospective analysis was conducted on the data of patients diagnosed with HFRS at the First Affiliated Hospital of Dali University and People's Hospital of Dali Bai Autonomous Prefecture from January 1, 2015, to January 31, 2025. Based on the 30-day prognosis, patients were categorized into the survival group (n = 341) and the deceased group (n = 32). Least Absolute Shrinkage and Selection Operator (LASSO) regression was applied to screen for influential factors affecting the 30-day prognosis of HFRS, followed by binary logistic regression analysis to identify risk factors for short-term prognosis of HFRS. Finally, a nomogram model was constructed based on the identified prognostic risk factors. Results: A total of 373 patients with HFRS from the Dali region of China were included, with a 30-day mortality rate of 8.579%. LASSO-logistic regression analysis revealed that low levels of prothrombin time (PT), white blood cell (WBC), lactate dehydrogenase-to-albumin ratio (LAR), and free triiodothyronine (FT3) were risk factors for the 30-day prognosis of HFRS patients ( Conclusion: PT, FT3, WBC levels, and LAR values are risk factors for 30-day mortality in patients with HFRS. Moreover, we have, for the first time, identified a close association between FT3 and LAR and the prognosis of HFRS. The developed nomogram demonstrates favorable predictive performance and can serve as an intuitive quantitative tool for the early identification of high-risk patients, thereby guiding clinical intervention strategies.

Indexed as

hemorrhagic fever with renal syndromenomogram modelprognosisrisk factors

Identifiers

PMID41282998
PMCPMC12640151

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.