Evidence map›Paper›PMID 42291201›Full record

ArticleiScience2026

Development and validation of a nomogram for predicting 30-day mortality in DBV-induced sepsis with pancreatic injury.

Meng Zhang, Wei Liu, Yuxin Niu, Yunhui Liu, Lanyue Huang, Yuzhao Feng, Chuanwen Chen, Lifen Hu, Tao Chen, Qin Ning

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

10 authors.

Meng ZhangDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Disease, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Wei LiuDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Disease, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Yuxin NiuDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Disease, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Yunhui LiuDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Disease, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Lanyue HuangDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Disease, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Yuzhao FengDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Disease, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Chuanwen ChenDepartment of Infectious Diseases, People's Hospital of Shangcheng County, Xinyang, Henan Province, China.
Lifen HuDepartment of Infectious Diseases, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China.
Tao ChenDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Disease, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Qin NingDepartment of Infectious Diseases, Tongji Hospital, Tongji Medical College and State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Disease, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dabie Bandavirus (DBV)-induced sepsis is a life-threatening disease in which pancreatic injury (PI) is common, yet its severity determinants and prognostic significance remain unclear. This ambispective multicenter cohort study enrolled 310 patients with confirmed DBV-induced sepsis from three hospitals, including prospective and retrospective cohorts. PI was defined by elevated pancreatic enzymes and classified as mild or severe. Multivariate logistic regression identified independent predictors of severe PI and 30-day mortality. A nomogram (DBV-PI) was developed and externally validated. PI was highly prevalent (86%-90%), with severe PI occurring in 41%-46% of patients. Severe PI was associated with significantly higher 30-day mortality than mild PI in both cohorts (all

Indexed as

health sciences

Identifiers

PMID42291201
PMCPMC13255045

What Socratic holds

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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.