Evidence map›Paper›PMID 42488409›Full record

ArticleFrontiers in cellular and infection microbiology2026

t-PA/PAI-1 complex expression correlates with the severity in hantaan virus-induced hemorrhagic fever with renal syndrome.

Han-Dong Zhao, Fei-Yu Li, Hong-Bo Qian, Pei-Long Wang, Kang-Xiao Ma, Hong-Li Liu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Han-Dong Zhao *Central Laboratory of Virology, Shaanxi Provincial Hospital of Infectious Diseases, The Xi'an Eighth Hospital, Xi'an, China.
Fei-Yu Li *Shaanxi Provincial Clinical Medical Research Center of Infectious Diseases, Shaanxi Provincial Hospital of Infectious Diseases, The Xi'an Eighth Hospital, Xi'an, China.
Hong-Bo QianClinical Laboratory Center, Shaanxi Provincial Hospital of Infectious Diseases, The Xi'an Eighth Hospital, Xi'an, China.
Pei-Long WangSection of Science and Education, Shaanxi Provincial Hospital of Infectious Diseases, The Xi'an Eighth Hospital, Xi'an, China.
Kang-Xiao Ma *Shaanxi Provincial Clinical Medical Research Center of Infectious Diseases, Shaanxi Provincial Hospital of Infectious Diseases, The Xi'an Eighth Hospital, Xi'an, China.
Hong-Li Liu *Clinical Laboratory Center, Xi'an People's Hospital (Xi'an Fourth Hospital), Affiliated Hospital of Northwest University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: This study aimed to investigate t-PAIC concentration changes across severity levels in HFRS patients and evaluate its value in predicting disease severity, providing a potential biomarker for HFRS severity assessment and monitoring. Methods: t-PAIC levels were measured by chemiluminescence immunoassay in 156 HFRS patients and 37 healthy controls. Routine laboratory tests assessed WBC, PLT, Cr, UA, urea, HDL, ALB, APTT, and PT. HFRS-specific antibodies were detected using the colloidal gold method. Spearman correlation analysis evaluated associations between t-PAIC and clinical indices. Ordinal logistic regression identified risk factors linked to disease severity. ROC curve analysis assessed the predictive performance of t-PAIC for HFRS severity. Results: t-PAIC levels progressively increased with HFRS severity, peaking in critically ill patients. t-PAIC showed significant positive correlations with leukocyte count ( Conclusions: t-PAIC levels closely reflect HFRS severity and associated clinical features, including renal dysfunction and coagulation abnormalities, suggesting its potential as a biomarker for monitoring disease status.

Indexed as

Hantaan virusHemorrhagic Fever with Renal SyndromeAdultBiomarkersFemaleHumansMaleROC CurveSeverity of Illness IndexBiomarkersdisease monitoringevaluationhantaan virusHFRSt-PAIC

Identifiers

PMID42488409
PMCPMC13388037

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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.