Evidence map›Paper›PMID 36079047›Full record

ArticleJournal of clinical medicine2022

The Role of Nondiabetic Hyperglycemia in Critically Ill Patients with Acute Ischemic Stroke.

Hung-Sheng Shih, Wei-Sheng Wang, Li-Yu Yang, Shu-Hao Chang, Po-Huang Chen, Hong-Jie Jhou

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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
0.4field-weighted citation impact, top 35% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Editorial: Trends in neurocritical care.Frontiers in neurology · 2024
    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

6 authors at 5 institutions in 1 country.

Hung-Sheng ShihDepartment of Biomechatronic Engineering, National Taiwan University, Taipei 10617, Taiwan.
Wei-Sheng WangDepartment of Neurology, Changhua Christian Hospital, Changhua 500, Taiwan.ORCID 0000-0002-7879-4758
Li-Yu YangDepartment of Neurology, Changhua Christian Hospital, Changhua 500, Taiwan.
Shu-Hao ChangDepartment of Computer Science and Information Science, National Formosa University, Yunlin 63201, Taiwan.
Po-Huang ChenDepartment of Internal Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei 114, Taiwan.ORCID 0000-0002-0280-6417
Hong-Jie JhouDepartment of Neurology, Changhua Christian Hospital, Changhua 500, Taiwan.ORCID 0000-0003-3304-4643
Kaohsiung Medical University · TWChanghua Christian Hospital · TWNational Formosa University · TWNational Taiwan University · TWTri-Service General Hospital · TW

Funding

Tri-Service General Hospital TSGH-D-111157
6 · The paper itself

Abstract

In this study, we aim to elucidate the association between nondiabetic hyperglycemia and the short-term prognosis of critically ill patients with acute ischemic stroke. We extracted data using the Medical Information Mart for Intensive Care IV from 2008 to 2019. The primary outcomes were set as intensive care units (ICU) and in-hospital mortality. We developed a Cox proportional hazards model to determine the nonlinear association between serum glucose levels and primary outcomes. Of the 1086 patients included, 236 patients had hyperglycemia. Patients with hyperglycemia were associated with higher ages, female gender, higher Charlson Comorbidity Index scores, and higher Acute Physiology Score III scores. After propensity score matching, 222 pairs remained. The hyperglycemia group had a significantly higher ICU mortality (17.6% vs. 10.8%;

Indexed as

hyperglycemiaischemic strokeMIMIC-IVnon-diabetespropensity score matching

Identifiers

PMID36079047
PMCPMC9456679
OpenAlexW4293773165

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.