Evidence map›Paper›PMID 40226802›Full record

ArticleInternational journal of general medicine2025

Predictors of Severity in Hemorrhagic Fever with Renal Syndrome.

Lihua Huang, Jun Wu, Jiao Luo, Wei Gu

Abstract read
In one paragraph

Article in International journal of general medicine, 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

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. 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 Huang *Department of Infection Disease, The First Affiliated Hospital of Dali University, Dali, Yunnan, People's Republic of China.ORCID 0009-0005-3588-3565
Jun Wu *Department of Ophthalmology, Dali Bai Autonomous Prefecture People's Hospital, Dali, Yunnan, People's Republic of China.
Jiao LuoDepartment of Infection Disease, The First Affiliated Hospital of Dali University, Dali, Yunnan, People's Republic of China.
Wei GuDepartment of Infection Disease, 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 explore the risk factors for the severity of hemorrhagic fever with renal syndrome (HFRS) and construct a nomogram model. Methods: A retrospective analysis was conducted on the data of 191 patients diagnosed with HFRS at the First Affiliated Hospital of Dali University between January 1, 2013, and September 30, 2024. Based on whether severe disease occurred, the patients were divided into a severe HFRS group (n=42) and a mild HFRS group (n=149). The clinical data of the two groups were compared, and after eliminating the influence of collinearity, LASSO-Logistic regression analysis was used to screen for factors influencing the severity of HFRS. Additionally, a nomogram model was constructed to predict the severity of HFRS. Results: Compared with the mild HFRS group, patients in the severe HFRS group had a prolonged length of stay, increased usage rates of Continuous Renal Replacement Therapy (CRRT) and ventilators, and an elevated 30-day mortality rate ( Conclusion: PCT, ALB, PAR, and pleural effusion are risk factors for the severity of HFRS. The constructed nomogram model exhibits good discriminatory power, fit, and clinical practicality, enabling early identification of patients with severe HFRS in southwestern China.

Indexed as

hemorrhagic fever with renal syndromenomogramrisk factorsseverity

Identifiers

PMID40226802
PMCPMC11994104

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