Evidence mapPaperPMID 41243984Full record

ArticleJournal of inflammation research2025

A Correlational Study on CALLY Index as a Potential Predictive Indicator for Postoperative in-Hospital Mortality in Acute Aortic Dissection Patients.

Hailun Zhang, Fei Jiang, Jingshan Lin, Xijing Yu, Yanchun Peng, Liangwan Chen, Yanjuan Lin

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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.

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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.

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4 · The record

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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.

Hailun Zhang *School of Nursing, Fujian Medical University, Fuzhou, People's Republic of China.
Fei Jiang *Department of Nursing, Union Hospital, Fujian Medical University, Fuzhou, Gulou District, 350001, People's Republic of China.
Jingshan LinDepartment of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, 350108, People's Republic of China.
Xijing YuSchool of Nursing, Fujian Medical University, Fuzhou, People's Republic of China.
Yanchun PengDepartment of Nursing, Union Hospital, Fujian Medical University, Fuzhou, Gulou District, 350001, People's Republic of China.
Liangwan ChenDepartment of Cardiovascular Surgery, Union Hospital, Fujian Medical University, Fuzhou, 350108, People's Republic of China.
Yanjuan LinDepartment of Nursing, Union Hospital, Fujian Medical University, Fuzhou, Gulou District, 350001, People's Republic of China.ORCID 0000-0001-8953-7549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Acute Type A Aortic Dissection (ATAAD) is a highly lethal cardiovascular emergency characterized by persistently high postoperative in-hospital mortality (POIM), which necessitates effective preoperative risk assessment tools. This study aimed to investigate the predictive value of the preoperative CRP-albumin-lymphocyte (CALLY) index for POIM in ATAAD patients and to construct a corresponding nomogram model. Methods: This retrospective study enrolled 522 surgically treated ATAAD patients admitted to Fujian Medical University Union Hospital between October 2015 and July 2024, with POIM designated as the study endpoint. Univariate and multivariate logistic regression analyses were performed to identify predictors of POIM,and LASSO regression was subsequently used to develop a predictive model. Results: This study included a total of 522 patients. The results demonstrated that the preoperative CALLY index was an independent protective factor for POIM (OR=0.131, 95% CI:0.110-0.199), and its predictive performance (AUC=0.820) was superior to that of individual parameters such as lymphocyte count, albumin, and CRP. Patients with lower CALLY index had significantly higher incidences of postoperative gastrointestinal hemorrhage, acute kidney injury, and POIM ( Conclusion: The preoperative CALLY index demonstrates significant predictive efficacy for POIM in ATAAD patients. The developed nomogram model, incorporating the CALLY index, provides a practical tool for optimizing perioperative decision-making.

Indexed as

acute type A aortic dissectionCALLY indexclinical outcomesinflammation indexmalnutritionpredictive model

Identifiers

PMID41243984
PMCPMC12619594

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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 Socratic graph.