Evidence map›Paper›PMID 36408504›Full record

ArticleFrontiers in neurology2022

The predictive role of systemic inflammation response index in the prognosis of traumatic brain injury: A propensity score matching study.

Baojie Mao, Lei Feng, Dongdong Lin, Yanfei Shen, Jiangchun Ma, Yuning Lu, Rui Zhang, Ming Wang, Shu Wan

Abstract read
In one paragraph

Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Development and validation of a nomogram for predicting mortality in patients with acute severe traumatic brain injury: A retrospective analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
    Article
  7. Article
  8. Article
  9. Review
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

9 authors.

Baojie MaoThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Lei FengThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Dongdong LinBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yanfei ShenDepartment of Intensive Care, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiangchun MaBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Yuning LuThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Rui ZhangThe Second School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China.
Ming WangBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Shu WanBrain Center, Affiliated Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: We aimed to evaluate the predictive power of systemic inflammation response index (SIRI), a novel biomarker, to predict all-cause mortality in patients with traumatic brain injury (TBI) in the intensive care unit (ICU). Methods: Clinical data were retrieved from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Kaplan-Meier (KM) methods and cox proportional hazard models were performed to examine the association between SIRI and all-cause mortality. The predictive power of SIRI was evaluated compared to other leukocyte-related indexes including neutrophils, lymphocytes, monocytes and white blood cells (WBC) by the Receiver Operating Characteristic (ROC)curve for 30-day mortality. In addition, propensity score matching (PSM) was conducted to reduce confounding. Results: A total of 350 TBI patients were enrolled overall in our study. The optimal cutoff point of SIRI was determined at 11.24 × 10 Conclusion: It was suggested that TBI patients with high SIRI level would suffer from a high risk of 30-day, in-hospital and 365-day mortality. SIRI is a promising inflammatory biomarker for predicting TBI patients' prognosis with relatively better predictive power than other single indicators related to peripheral differential leukocyte counts.

Indexed as

all-cause mortalityMedical Information Mart for Intensive Care-IVpropensity score matching (PSM)systemic inflammation response index (SIRI)traumatic brain injury (TBI)

Identifiers

PMID36408504
PMCPMC9666699

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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.