Evidence map›Paper›PMID 38590230›Full record

ArticleEndocrinology, diabetes & metabolism2024

Association of Three Novel Inflammatory Markers: Lymphocyte to HDL-C Ratio, High-Sensitivity C-Reactive Protein to HDL-C Ratio and High-Sensitivity C-Reactive Protein to Lymphocyte Ratio With Metabolic Syndrome.

Rana Kolahi Ahari, Nazanin Akbari, Negin Babaeepoor, Zahra Fallahi, Sara Saffar Soflaei, Gordon Ferns, Mahmoud Ebrahimi, Mohsen Moohebati, Habibollah Esmaily, Majid Ghayour-Mobarhan

Abstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

10 authors.

Rana Kolahi AhariInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashad, Iran.
Nazanin AkbariInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashad, Iran.
Negin BabaeepoorSchool of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashad, Iran.
Zahra FallahiSchool of Nursing and Midwifery, Mashhad University of Medical Sciences, Mashad, Iran.
Sara Saffar SoflaeiInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashad, Iran.
Gordon FernsDivision of Medical Education, Brighton and Sussex Medical School, Brighton, UK.
Mahmoud EbrahimiFaculty of Medicine, Vascular and Endovascular Research Center, Mashhad University of Medical Sciences, Mashad, Iran.
Mohsen MoohebatiDepartment of Cardiology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashad, Iran.
Habibollah EsmailyMetabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashad, Iran.ORCID 0000-0003-4139-546X
Majid Ghayour-MobarhanInternational UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to compare the association of three novel inflammatory indicators with metabolic syndrome (MetS) among Mashhad stroke and heart atherosclerotic disorder (MASHAD) cohort participants.

methodsAccording to the International Diabetes Federation (IDF) criteria, the cohort participants were divided into the MetS(+) and MetS(-) groups. The lymphocyte to high-density lipoprotein cholesterol (HDL-C) ratio (LHR), high-sensitivity C-reactive protein (hs-CRP) to HDL-C ratio (HCHR) and hs-CRP to lymphocyte ratio (HCLR) were calculated and were compared between the groups. Binary logistic regression (LR) analysis was performed to find the association of the indices with the presence of MetS among men and women. Receiver-operating characteristic (ROC) curve analysis was used to establish cut-off values in predicting MetS for men and women. p-Values <0.05 were considered as statistically significant.

resultsAmong a total of 8890 participants (5500 MetS(-) and 3390 MetS(+)), LHR, HCHR and HCLR were significantly higher in the MetS(+) group than in MetS(-) group (p < 0.001). In LR analysis, after adjusting for multiple cofounders, LHR remained an independent factor for the presence of MetS among men (OR: 1.254; 95% CI: 1.202-1.308; p < 0.001) and women (OR: 1.393; 95% CI: 1.340-1.448; p < 0.001). HCHR also remained an independent factor for the presence of MetS only in women (OR: 1.058; 95% CI: 1.043-1.073; p < 0.001). ROC curve analysis showed that LHR had the higher AUC for predicting MetS in both men (AUC: 0.627; 95% CI: 0.611-0.643; p < 0.001) and women (AUC: 0.683; 95% CI: 0.670, 0.696; p < 0.001).

conclusionThis suggests that among both genders, the LHR as an inexpensive and easy-to-access marker has a better diagnostic performance and could be a promising alternative to the traditional expensive inflammatory markers such as hs-CRP for the evaluation of inflammation in patients with MetS.

Indexed as

Diabetes MellitusMetabolic SyndromeCholesterol, HDLC-Reactive ProteinFemaleHumansLymphocytesMaleCholesterol, HDLC-Reactive Proteinhigh‐sensitivity C‐reactive protein to HDL‐C ratiohigh‐sensitivity C‐reactive protein to lymphocyte ratiolymphocyte to HDL‐C ratiometabolic syndrome

Identifiers

PMID38590230
PMCPMC11002532

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.