Evidence map›Paper›PMID 39429847›Full record

ArticleJournal of inflammation research2024

Analysis of the Clinical Predictive Value of the Novel Inflammatory Indices SII, SIRI, MHR and NHR in Patients with Acute Myocardial Infarction and Their Extent of Coronary Artery Disease.

Hui Sun, Haiying Liu, Jinxia Li, Jinxin Kou, Can Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of inflammation research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
–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

26 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. 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.

Hui Sun *Clinical Laboratory, Xi'an International Medical Center Hospital, Xi'an, People's Republic of China.
Haiying Liu *Occupational Health Department, Xi'an Changan District Center for Disease Control and Prevention, Xi'an, People's Republic of China.
Jinxia LiClinical Laboratory, Xi'an International Medical Center Hospital, Xi'an, People's Republic of China.
Jinxin KouSchool of Medicine, Xi'an Siyuan University, Xi'an, People's Republic of China.ORCID 0009-0000-2871-6842
Can YangClinical Laboratory, Xi'an International Medical Center Hospital, Xi'an, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to observe the relationship between novel inflammatory markers and AMI, and analyze its correlation with the degree of coronary artery disease. Methods: Clinical data were collected from the control (510 cases) and AMI (406 cases) groups. The AMI group was classified into mild, moderate and severe according to the Gensini score. Correlation of SII, SIRI, MHR and NHR with Gensini score in AMI patients was analysed using Spearman rank correlation analysis. Factors influencing the degree of coronary lesion in AMI were analysed by multi-factor ordinal logistic regression. The predictive value of the novel inflammatory markers for AMI and its coronary severity was assessed using ROC curves. Risk prediction of the extent of coronary artery disease in AMI using the Nomogram for novel inflammatory indices. Results: The levels of SII, SIRI, MHR and NHR were significantly higher in the AMI group than in the control group. With increasing Gensini score, all four novel inflammatory indices showed an increasing trend. And four novel inflammatory indices were positively correlated with Gensini scores. Meanwhile, SII, SIRI and MHR were independent risk factors for the extent of coronary artery disease in AMI. SII, SIRI, MHR and NHR have good predictive value for AMI, and have predictive value for mild and severe AMI, but have no predictive value for moderate AMI. The nomogram results showed that SII, SIRI and MHR had some predictive value for the degree of coronary artery disease in AMI. The nomogram results showed that SII, SIRI and MHR had some predictive value for the degree of coronary artery disease in AMI. Conclusion: The elevated levels of SIRI, SII, MHR, NHR in AMI patients are independent risk factors for the severity of coronary artery disease in AMI patients, and have predictive value to a certain extent.

Indexed as

acute myocardial infarctionclinical predictive valuemonocyte-to-high-density lipoprotein rationeutrophil-to-high-density lipoprotein ratiosystemic inflammatory immune indexsystemic inflammatory response index

Identifiers

PMID39429847
PMCPMC11490208

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.