Evidence map›Paper›PMID 40224624›Full record

ArticleFrontiers in medicine2025

A nomogram based on systemic inflammation response index and clinical risk factors for prediction of short-term prognosis of very elderly patients with hypertensive intracerebral hemorrhage.

Shen Wang, Ruhai Wang, Xianwang Li, Xin Liu, Jianmei Lai, Hongtao Sun, Haicheng Hu

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PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Observational
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Shen Wang *The First School of Clinical Medical, Lanzhou University, Lanzhou, China.
Ruhai Wang *Department of Neurosurgery, Fuyang Fifth People's Hospital, Fuyang, Anhui, China.
Xianwang LiDepartment of Rehabilitation Medicine, Fuyang Fifth People's Hospital, Fuyang, Anhui, China.
Xin LiuDepartment of Neurosurgery, Linquan County People's Hospital, Fuyang, Anhui, China.
Jianmei LaiDepartment of Neurosurgery, Fuyang Fifth People's Hospital, Fuyang, Anhui, China.
Hongtao SunThe First School of Clinical Medical, Lanzhou University, Lanzhou, China.
Haicheng HuDepartment of Neurosurgery, Fuyang Fifth People's Hospital, Fuyang, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To develop and validate a nomogram based on systemic inflammation response index (SIRI) and clinical risk factors to predict short-term prognosis in very elderly patients with hypertensive intracerebral hemorrhage (HICH). Methods: A total of 324 very elderly HICH patients from January 2017 to June 2024 were retrospectively enrolled and randomly divided into two cohorts for training ( Results: By univariate and stepwise multivariate logistic regression analyses, GCS score ( Conclusion: The nomogram incorporated with the SIRI and clinical risk factors has good potential in predicting the short-term prognosis of very elderly HICH.

Indexed as

nomogrampoor prognosisrisk factorssystemic inflammation response indexvery elderly hypertensive intracerebral hemorrhage

Identifiers

PMID40224624
PMCPMC11985803

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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.