Evidence map›Paper›PMID 36386589›Full record

ArticleJournal of inflammation research2022

Associations of Inflammation with Risk of Cardiovascular and All-Cause Mortality in Adults with Hypertension: An Inflammatory Prognostic Scoring System.

Iokfai Cheang, Xu Zhu, Xinyi Lu, Xin Yue, Yuan Tang, Rongrong Gao, Shengen Liao, Wenming Yao, Yanli Zhou, Haifeng Zhang and 2 more

Abstract read
In one paragraph

Article in Journal of inflammation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Inflammatory Biomarkers in Hypertension.Current medicinal chemistry · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Review
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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

12 authors.

Iokfai Cheang *Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Xu Zhu *Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.ORCID 0000-0002-4347-3639
Xinyi LuDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Xin YueDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Yuan TangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Rongrong GaoDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Shengen LiaoDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Wenming YaoDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Yanli ZhouDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Haifeng ZhangDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.
Kai-Hang YiuDivision of Cardiology, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong Special Administrative Region, 999077, People's Republic of China.
Xinli LiDepartment of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing, 210029, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Inflammation is one of the major pathways in the progression of hypertension (HTN), and the related inflammatory markers have demonstrated certain predictive values. The current study aimed to integrate these markers to construct an inflammatory prognostic scoring (IPS) system and to assess the prognostic values of IPS in patients with HTN. Methods: A total of 9846 adult participants with HTN from NHANES 1999-2010 were enrolled and followed up. Demographic characteristics and the related laboratory results for the 12 inflammatory markers were collected. LASSO-COX regression, Kaplan-Meier, restricted cubic spline COX regression (RCS), receiver operator characteristic curve (ROC), and random survival forests (RSF) analysis were applied to explore the values of individual and IPS parameters. Results: At the census date of follow-up, 2387 (24.2%) were identified as all-cause deaths and 484 (4.9%) as cardiovascular deaths. All inflammatory markers showed certain prognostic values. Then, based on the LAASO analysis, LDH, ALP, LYM, NLR, MLR, SIRI, and RDW were included in the construction of the IPS system. The higher IPS had significantly worse long-term prognosis in Kaplan-Meier analysis ( Conclusion: Our results highlight that a higher IPS (system integrating the inflammatory markers) was associated with the increased risk of cardiovascular and all-cause mortality in patients with HTN, suggesting that IPS is a useful method for risk stratification in HTN.

Indexed as

HTNhypertensioninflammationinflammatory prognostic scoring systemprognosisrandom survival forest

Identifiers

PMID36386589
PMCPMC9653039

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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.