Evidence map›Paper›PMID 38523685›Full record

ArticleJournal of inflammation research2024

The Simplified Thrombo-Inflammatory Score as a Novel Predictor of All-Cause Mortality in Patients with Heart Failure: A Retrospective Cohort Study.

Meng-Die Cheng, Ying-Ying Zheng, Xing-Yan Zhang, Tuersun Ruzeguli, Yisimayili Sureya, Yisha Didaer, Mahemuti Ailiman, Jin-Ying Zhang

Abstract read
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 5 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Article
  3. Article
  4. Heart failure, inflammation and exercise.International journal of biological sciences · 2025
    Review
  5. 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.

Meng-Die ChengDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Ying-Ying ZhengDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Xing-Yan ZhangDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Tuersun RuzeguliDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yisimayili SureyaDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Yisha DidaerDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Mahemuti AilimanDepartment of Cardiology, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, People's Republic of China.
Jin-Ying ZhangDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The simplified thrombo-inflammatory score (sTIPS) has recently emerged as a novel prognostic score. Hence, we investigated the prognostic value of sTIPS for predicting long-term mortality in patients with heart failure (HF). Methods: A total of 3741 patients were analyzed in this study. The sTIPS was calculated based on the white blood cell count (WBC) and the mean platelet volume to platelet count (MPV/PC) ratio at admission. The mean follow-up time was 22.75 months. Multivariable Cox regression analyses were used to investigate the associations between the sTIPS and all-cause mortality (ACM). Results: In the whole study population, multivariate Cox regression analysis showed that patients in both the sTIPS 2 and sTIPS 1 groups had significantly increased risk of ACM as compared with patients in the sTIPS 0 group (hazard ratio [HR]=1.706, 95% confidence interval [CI]: 1.405-2.072, P<0.001 and HR = 1.431, 95% CI 1.270-1.612, P<0.001). The same significant trend was observed in heart failure with preserved ejection fraction (HFpEF) patients (sTIPS1 vs sTIPS0: HR = 1.366, 95% CI 1.100-1.697, P = 0.005; sTIPS2 vs sTIPS0: HR = 1.995, 95% CI 1.460-2.725, P<0.001). However, only sTIPS 1 group had a significantly increased the risk of ACM compared to the sTIPS 0 group among patients with HFmrEF (sTIPS1 vs sTIPS0: HR = 1.648, 95% CI 1.238-2.194, P = 0.001) and HFrEF (sTIPS1 vs sTIPS0: HR = 1.322, 95% CI 1.021-1.712, P = 0.035). Conclusion: sTIPS is useful in predicting risk for long-term mortality in patients with HF.

Indexed as

all-cause mortalityheart failureprognosissimplified thrombo-inflammatory score

Identifiers

PMID38523685
PMCPMC10961063

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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.