Evidence map›Paper›PMID 41056983›Full record

ArticleAorta (Stamford, Conn.)2025

Systematic Review and Meta-analysis of Admission Inflammatory Biomarkers for Evaluating Prognosis in Acute Type A Aortic Dissection.

Sarah Shirley, Alana Maerivoet, Helen L Wright, Mark Field, Jillian Madine

Abstract read
In one paragraph

Article in Aorta (Stamford, Conn.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors.

Sarah ShirleyDepartment of Cardiothoracic Surgery, Liverpool Heart and Chest Hospital, Liverpool, United Kingdom.
Alana MaerivoetInstitute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom.
Helen L WrightInstitute of Life Course and Medical Sciences, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom.
Mark FieldDepartment of Cardiothoracic Surgery, Liverpool Heart and Chest Hospital, Liverpool, United Kingdom.
Jillian MadineInstitute of Systems, Molecular and Integrative Biology, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0001-9963-5871

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute type A aortic dissection (ATAAD) is traumatic and life-threatening involving a split of the intima media along a variable length of the aorta from aortic root to aortic bifurcation. The pathology results in a local and systemic inflammatory process with elevated inflammatory markers observed at hospital admission. This systematic literature review aimed to compare the effectiveness of admission inflammatory markers in predicting adverse outcomes in postoperative ATAAD patients. Eligibility criteria included studies reporting postoperative outcomes or receiver operating characteristic results stratified by routine admission markers of inflammation in ATAAD patients. The study protocol was registered with PROSPERO (CRD42022366509). Following abstract and full-text screening, 79 studies were included in the analysis, with 39 included in the meta-analysis. Meta-analyses using random effects models of white blood cell count, neutrophil count, and neutrophil to lymphocyte ratio stratified by survival indicated that levels were significantly lower in survivors than nonsurvivors. The mean difference for white blood cell count was 1.51 (confidence interval [CI = 1.07, 1.95]), neutrophil count 1.50 [CI = 1.05, 1.95], and neutrophil to lymphocyte ratio 3.45 [CI = 2.50, 4.41]. Similarly, survivors had lower C-reactive protein levels than nonsurvivors (standardized mean difference = 0.5227 [CI = 0.1781, 0.8672]). Conversely, lymphocyte counts were higher in survivors than nonsurvivors (mean difference = -0.12 [CI = -0.18, -0.06]). All models had significant heterogeneity despite using random effects models, likely due to the multitude of presentations. Hierarchical summary receiver operating characteristic models were performed for neutrophil-to-lymphocyte ratio and C-reactive protein and showed similar sensitivity at detecting mortality in ATAAD patients for each fixed specificity. Data showed that deranged inflammatory markers are associated with poorer outcomes in ATAAD; however, none of these measures provide suitable prognostic markers alone. Continued development of multifactorial risk scores, including inflammatory markers and other factors, such as thrombotic measures, may enable clinically relevant prognostic tools and risk stratification.

Identifiers

PMID41056983
PMCPMC13300749

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.