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ArticleJournal of inflammation research2025

Decreasing Procalcitonin and Its Ratio to Albumin Predict Mortality in Patients with Abdominal Sepsis.

Qiang Li, Zhuo-Chen Lyu, Le-Le Zhang, Yi-Ran Li, Jia-Ying Chen, Ya-Wei Yuan

Abstract read
In one paragraph

Article in Journal of inflammation research, 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

6 authors.

Qiang Li *Department of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Zhuo-Chen Lyu *Department of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Le-Le ZhangDepartment of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.
Yi-Ran LiDepartment of Anesthesiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
Jia-Ying ChenDepartment of Anesthesiology, Eastern Hepatobiliary Surgery Hospital, The Third Affiliated Hospital of Naval Medical University, Shanghai, People's Republic of China.
Ya-Wei YuanDepartment of Anesthesiology, Ruijin Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Abdominal sepsis may act as a life-threatening disease characterized by a dysregulated inflammatory response and nutritional deficits. Given the complex interplay between inflammation and malnutrition, integrating these biomarkers may provide a more comprehensive understanding of patients' outcomes and improve early prognosis in the intensive care unit (ICU). Herein, we report the predictive value of procalcitonin (PCT) and its ratio to albumin (ALB) for mortality of abdominal sepsis patients, aiming to provide more references for clinical disease management. Patients and Methods: This is a retrospective study involving one hundred and twenty-four patients diagnosed with abdominal sepsis. Kaplan-Meier survival analysis was utilized to analyze the 30- and 90-day mortality of patients. Univariable and multivariable Cox regression analyses were conducted to confirm the prognostic factors. In addition, ROC analyses were performed to evaluate the diagnostic efficiency. Results: An 80% decrease of PCT within 4 days was identified as a cutoff to predict the 30-day ( Conclusion: In conclusion, the decrease in PCT and the ratio of PCT decrease/ALB are promising biomarkers to predict mortality in patients with abdominal sepsis.

Indexed as

abdominal sepsisalbuminintensive care unitmortality predictionPCT

Identifiers

PMID41040989
PMCPMC12484115

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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.