Evidence map›Paper›PMID 41947058›Full record

ArticleBMC gastroenterology2026

A Systemic Inflammation Response Index (SIRI)-based nomogram for predicting the prognosis of hepatitis B virus-related acute-on-chronic liver failure: a retrospective cohort study.

Xuwei Wu, Miaomiao Huo, Zechang Chen, Qiaorong Gan, Aifang Lin, Xiuhui Wang, Zuxiong Huang, Qi Zheng

Abstract read
In one paragraph

Article in BMC gastroenterology, 2026. 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

8 authors.

Xuwei Wu *Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian Province, China.
Miaomiao Huo *Department of Gastroenterology, Fuzhou Second General Hospital, Fuzhou, 350007, Fujian Province, China.
Zechang Chen *Department of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, Fujian Province, China.
Qiaorong GanDepartment of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, Fujian Province, China.
Aifang LinDepartment of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, Fujian Province, China.
Xiuhui WangDepartment of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, Fujian Province, China.
Zuxiong HuangDepartment of Hepatology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, 350025, Fujian Province, China. huangzuxiong215@hotmail.com.
Qi ZhengDepartment of Hepatology, Hepatology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350005, Fujian Province, China. zhengqi0825@sina.com.

Funding

Natural Science Foundation of Fujian Province 2024J011232Science and Technology Planning Project of Fuzhou 2024-S-042
6 · The paper itself

Abstract

objectiveSystemic inflammatory response is closely linked to the development and prognosis of liver failure. This study aimed to establish a prognostic model incorporating inflammatory markers, including the systemic inflammation response index (SIRI), defined as neutrophil count × monocyte count / lymphocyte count, to assess outcomes in patients with hepatitis B virus–related acute-on-chronic liver failure (HBV-ACLF).

methodsA retrospective analysis was conducted on HBV-ACLF patients admitted to Mengchao Hepatobiliary Hospital of Fujian Medical University from January 2019 to December 2022. Patients were classified by 28-day and 90-day outcomes. Baseline clinical data, hematologic, biochemical, and coagulation parameters were collected. Univariate logistic regression was first performed, followed by multivariate logistic regression with a backward stepwise approach. Model performance was assessed using the area under the receiver operating characteristic curve (AUC), calibration curves, and decision curve analysis.

resultsA total of 321 patients (86.6% male; mean age 46.21 ± 12.46 years) were included, with 28-day and 90-day mortality rates of 16.51% and 24.92%. Non-survivors were older and had higher SBP, SIRI, Cr, BUN, INR, and higher rates of hypertension, decompensated cirrhosis, hepatic encephalopathy, and bacterial infection (all P < 0.05). Multivariate analysis identified SBP, SIRI, Cr, BUN, and INR as independent predictors of both outcomes, while age, lower HDL, and LDL were additionally associated with 90-day mortality. Nomograms showed good calibration and discrimination (AUCs 0.866 and 0.897) and high clinical utility. SIRI remained independently associated with mortality after full adjustment.

conclusionSIRI is significantly associated with the risk of HBV-ACLF mortality, and the nomogram provides an objective tool for identifying high-risk patients and supporting individualized management.

Indexed as

Acute-On-Chronic Liver FailureHepatitis B, ChronicNomogramsAdultBiomarkersFemaleHumansLeukocyte CountLymphocyte CountMaleMiddle AgedMonocytesNeutrophilsPrognosisRetrospective StudiesROC CurveBiomarkersAcute-on-chronic liver failurePrediction modelSystemic inflammation response index

Identifiers

PMID41947058
PMCPMC13188618

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.