Evidence map›Paper›PMID 41676407›Full record

ArticleArchives of medical science : AMS2025

Updated focused review of hematological, inflammatory, and lipid biomarkers in acute coronary syndrome.

Jan Budzianowski, Dariusz Hiczkiewicz, Hubert Ficner, Janusz Rzeźniczak, Marek Słomczyński, Dominika Kasprzak, Jarosław Hiczkiewicz, Paweł Burchardt

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 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

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

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

8 authors.

Jan BudzianowskiDepartment of Interventional Cardiology and Cardiac Surgery, University of Zielona Gora, Collegium Medicum, Zielona Gora, Poland.
Dariusz HiczkiewiczDepartment of Interventional Cardiology and Cardiac Surgery, University of Zielona Gora, Collegium Medicum, Zielona Gora, Poland.
Hubert FicnerNowa Sól Multidisciplinary Hospital, Nowa Sol, Poland.
Janusz RzeźniczakDepartment of Cardiology, J. Strus Hospital, Poznan, Poland.
Marek SłomczyńskiDepartment of Cardiology, J. Strus Hospital, Poznan, Poland.
Dominika KasprzakDepartment of Cardiology, J. Strus Hospital, Poznan, Poland.
Jarosław HiczkiewiczDepartment of Interventional Cardiology and Cardiac Surgery, University of Zielona Gora, Collegium Medicum, Zielona Gora, Poland.
Paweł Burchardt"Club 30", Polish Cardiac Society, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, hematological indices and biomarkers of inflammation that may be associated with atherosclerosis and the prediction of acute coronary syndromes (ACS) attract a lot of academic attention. This updated focused review aims to provide an overview of selected ACS biomarkers: white blood cells, neutrophil to lymphocyte ratio, platelet to lymphocyte ratio, systemic inflammatory index (SII), systemic inflammatory response index (SIRI) and lipoprotein(a). Novel inflammatory-lipid biomarkers such as high-sensitivity C-reactive protein (hsCRP) to high-density lipoprotein cholesterol (HDL-C) ratio, neutrophil to HDL-C ratio, and monocyte to HDL-C ratio may improve ACS diagnosis, risk stratification, clinical prognosis, and optimal management. These indices are inexpensive and easily obtained in daily clinical practice. Artificial intelligence and genetic analysis may improve their diagnostic performance and guide clinical management. The recent data also emphasize that these indices may be promising clinical tools for assessing ACS patients and monitoring the effectiveness of emerging anti-inflammatory strategies.

Indexed as

acute coronary syndromebiomarkerinflammationlipoprotein(a)prognosis

Identifiers

PMID41676407
PMCPMC12887944

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Registered trials

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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.