Evidence map›Paper›PMID 39992556›Full record

ArticleCardiovascular toxicology2025

Could the Systemic Inflammatory Response Index be a Marker for the Non-Dipper Pattern in Newly Diagnosed Hypertensive Patients?

Mustafa Kaplangoray, Kenan Toprak, Cuneyt Caglayan, Edhem Deveci, Enes Celik, Umut Uyan, Cihan Aydın

Abstract read
In one paragraph

Article in Cardiovascular toxicology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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.

Mustafa KaplangorayCardiology Department, Acıbadem Eskişehir Hospital, Eskişehir, Turkey. mkaplangoray@gmail.com.ORCID 0000-0002-4297-1820
Kenan ToprakDepartment of Cardiology, Faculty of Medicine, Harran University, Şanlıurfa, Turkey.ORCID 0000-0001-8923-8709
Cuneyt CaglayanDepartment of Medical Biochemistry, Faculty of Medicine, Bilecik Şeyh Edebali University, Bilecik, Turkey.ORCID 0000-0001-5608-554X
Edhem DeveciDepartment of Cardiology, University of Health Sciences Mehmet Akif İnan Research and Training Hospital, Sanlıurfa, Turkey.ORCID 0000-0002-8028-5725
Enes CelikCardiology Department, Acıbadem Eskişehir Hospital, Eskişehir, Turkey.ORCID 0000-0002-4540-7571
Umut UyanDepartment of Cardiology, Republic of Turkey Ministry of Health Ödemiş State Hospital, İzmir, Turkey.ORCID 0000-0001-7775-2751
Cihan AydınDepartment of Cardiology, Tekirdag Namık Kemal University, Tekirdağ, Turkey.ORCID 0000-0002-1401-5727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic inflammatory response index (SIRI), is associated with prognosis in coronary artery disease (CAD), heart failure (HF), and acute myocardial infarction. This study investigated the relationship between SIRI and non-dipper hypertension. The study retrospectively included a total of 254 naive, newly diagnosed hypertensive individuals based on ambulatory blood pressure monitoring (ABPM), containing 166 dippers (DHT) and 88 non-dippers (NDHT). The SIRI value of all patients was calculated based on neutrophil, monocyte, and lymphocyte counts. The average age of study population was 50.7 ± 9.4 years old, and the male ratio was 68.5%. Compared with DHT, patients in the NDHT group had higher SIRI, monocyte to HDL-C ratio (MHR), neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), C-reactive protein (CRP), and neutrophil count, while high-density lipoprotein cholesterol (HDL-C) and lymphocyte count were lower (p < 0.05). The left ventricular mass index (LVMI) was higher in the NDHT group (p < 0.05). Multivariate logistic regression analysis showed that SIRI, LVMI, and HDL-C were independent predictor factors for NDHT. ROC curve analysis determined the optimal SIRI cut-off value for predicting NDHT diagnosis to be 2.41 (sensitivity 69.3%, specificity 64.5%, area under the receiver operating characteristic curve, 0.743; p < 0.001). The AUC values obtained for SIRI, MHR, NLR, PLR, HDL-C, and LVMI parameters in the ROC curve analysis were compared pairwise. The results demonstrated that SIRI's discriminative capacity in predicting NDHT was superior to all other indices. SIRI is an independent and significant predictor factor for NDHT and is superior in predicting NDHT diagnosis compared with HDL-C, MHR, LVMI, NLR, and PLR.

Indexed as

Blood PressureHypertensionInflammation MediatorsAdultAgedAntihypertensive AgentsBiomarkersBlood Pressure Monitoring, AmbulatoryFemaleHumansLymphocyte CountLymphocytesMaleMiddle AgedMonocytesNeutrophilsAntihypertensive AgentsBiomarkersInflammation MediatorsHypertensionInflammatoryNon-dipperSystemic inflammatory response index

Identifiers

PMID39992556
PMCPMC11909053

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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.