Evidence map›Paper›PMID 39962611›Full record

ArticleEuropean journal of medical research2025

A comprehensive prognosis model for adult septic shock: SOFAplusCALLY index.

Xiaoming Lin, Lianfang Zhang, Yabin Zheng, Xiangyu Hong, Hongjun Zheng, Ting Huang, Jiefei Ma

Abstract read
In one paragraph

Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

7 authors.

Xiaoming Lin *Department of Intensive Care Unit, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361015, Fujian, People's Republic of China.
Lianfang Zhang *Department of Intensive Care Unit, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361015, Fujian, People's Republic of China.
Yabin Zheng *Department of Laboratory Medicine, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361015, Fujian Province, People's Republic of China.
Xiangyu HongDepartment of Intensive Care Unit, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361015, Fujian, People's Republic of China.
Hongjun ZhengDepartment of Intensive Care Unit, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361015, Fujian, People's Republic of China.
Ting HuangDepartment of Intensive Care Unit, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361015, Fujian, People's Republic of China. huang.ting@zsxmhospital.com.
Jiefei MaDepartment of Intensive Care Unit, Zhongshan Hospital, Fudan University (Xiamen Branch), Xiamen, 361015, Fujian, People's Republic of China. ma.jiefei@zs-hospital.sh.cn.

Funding

Key Clinical Specialty Construction Program of Fujian Province 63060405Research Funds of Xiamen Medical and Health Guidance Project 3502Z20214ZD1082
6 · The paper itself

Abstract

backgroundEarly assessment and intervention are crucial for improving survival in septic shock. This study aimed to address the shortcomings of existing scoring systems in predicting the risk of early death, particularly in identifying patient populations that require more precise prognostic assessments.

methodsThis retrospective study included 143 patients with septic shock admitted to the intensive care unit of a tertiary hospital between January 1, 2019, and June 30, 2024. Patients were stratified by 28-day survival status. Binary logistic regression analysis identified independent predictors of early mortality and developed a prognostic model, which was validated using receiver operating characteristic curves.

resultsAmong the patients, 106 survived, whereas 37 died. Multi-factor binary logistic regression analysis identified the sequential organ failure assessment (SOFA) score and the C-reactive protein-albumin-lymphocyte (CALLY) index as significant independent predictors of 28-day mortality (p < 0.05), culminating in the formulation of the "SOFAplusCALLY" model. This model showed superior predictive accuracy compared to other Scoring systems (area under the curve: 0.90, p < 0.01) and was validated for robustness in both training and validation cohorts.

conclusionsThe CALLY index and SOFA score independently forecast 28-day mortality in adults with septic shock, offering substantial clinical utility for forecasting patient prognosis. The SOFAplusCALLY model, synthesized from both indices, comprehensively assesses the clinical status of patients with septic shock and enhances prognostic accuracy, which is crucial for clinical decision-making and resource allocation.

Indexed as

Organ Dysfunction ScoresShock, SepticAdultAgedC-Reactive ProteinFemaleHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesROC CurveC-Reactive ProteinAcute Physiology and Chronic Health Evaluation II scoreC-reactive protein-albumin-lymphocyte indexDeathSeptic shockSequential Organ Failure Assessment

Identifiers

PMID39962611
PMCPMC11834658

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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.