Evidence map›Paper›PMID 41743021›Full record

ArticleEmergency medicine international2026

Prognostic Value of Hemoglobin, Albumin, Lymphocyte, and Platelet Score in Predicting Mortality in Patients With Aortic Dissection: A Retrospective Single-Center Study Based on ROC Curve Analysis.

Canan Şahin, Yahya Şahin

Abstract read
In one paragraph

Article in Emergency medicine international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

2 authors.

Canan ŞahinDepartment of Emergency Medicine, Emergency Medicine Specialist, Ahi Evran University Faculty of Medicine, Kırşehir, Türkiye, ahievran.edu.tr.ORCID https://orcid.org/0000-0002-8802-9558
Yahya ŞahinDepartment of Emergency Medicine, Emergency Medicine Specialist, Ahi Evran University Faculty of Medicine, Kırşehir, Türkiye, ahievran.edu.tr.ORCID https://orcid.org/0000-0002-6817-9524

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Aortic dissection (AD) is a life-threatening cardiovascular emergency associated with high mortality. Early risk stratification through reliable biomarkers is critical for guiding clinical decisions. The hemoglobin, albumin, lymphocyte, and platelet (HALP) score is a novel composite index reflecting inflammation, nutritional status, and hematologic balance. Although it has shown prognostic relevance in several disease states, its utility in predicting mortality in AD remains unknown. This study aimed to investigate the prognostic value of the HALP score and other hematologic markers in patients with AD. Methods: This retrospective study included 51 patients diagnosed with AD between January 2020 and December 2024 using contrast-enhanced thoracoabdominal computed tomography. Patients were grouped as survivors or nonsurvivors. Hematologic parameters (hemoglobin, hematocrit, red blood cell, platelet count, and mean platelet volume) and inflammatory indices (neutrophil-to-lymphocyte ratio [NLR], platelet-to-lymphocyte ratio [PLR], systemic immune-inflammation index [SII], and HALP score) were recorded. The Shapiro-Wilk test assessed normality; Student's Results: Overall mortality was 33.3%. Nonsurvivors were older and had significantly lower levels of hemoglobin, hematocrit, RBC, and platelet count ( Conclusions: The HALP score demonstrated high specificity and moderate sensitivity in predicting mortality in AD, suggesting its potential as a complementary biomarker. Its ease of use and accessibility make it suitable for emergency clinical settings. Prospective multicenter studies are needed to confirm its prognostic validity and routine application in AD management.

Indexed as

aortic dissectioncomposite biomarkersHALP scorehematologic indicesinflammationmortality predictionrisk stratificationROC analysis

Identifiers

PMID41743021
PMCPMC12930098

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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.