Evidence map›Paper›PMID 40691473›Full record

ArticleScientific reports2025

Effect of admission blood glucose on early mortality in patients with pontine hemorrhage.

Junqing Ma, Junhong Hao, Lan Xu, Xiaowei Miao, Yanquan Hou, Zujun Song

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Junqing MaEmergency Department, The Eighth Medical Center of Chinese PLA General Hospital, Beijing, China.
Junhong HaoDepartment of Medical Record, The First Hospital of Handan City, Handan, Hebei, China.
Lan XuDepartment of Medical Record, The Central Hospital of Handan City, Handan, Hebei, China.
Xiaowei MiaoSecond Pediatric Department, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei, China.
Yanquan HouEmergency Department, The Eighth Medical Center of Chinese PLA General Hospital, Beijing, China.
Zujun SongEmergency and Critical Care Hospital, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, Shaanxi, China. 1085899927@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elevated admission blood glucose (ABG) is increasingly recognized as a prognostic marker in intracerebral hemorrhage, but its specific role in pontine hemorrhage (PH) remains underexplored. This retrospective study analyzed data from 247 PH patients admitted to two tertiary hospitals between 2012 and 2016 to evaluate the association between ABG and 30-day mortality. Receiver operating characteristic analysis identified 8.69 mmol/L as the optimal hyperglycemia threshold predictive of mortality. Survival analysis revealed significantly lower 30-day survival rates in hyperglycemic patients compared to non-hyperglycemic patients (P = 0.0017). In multivariate regression models, ABG (per 1 mmol/L increase) independently increased mortality risk, with an adjusted odds ratio (aOR) of 1.295 (P = 0.0097) in the overall cohort and an aOR of 1.266 (P = 0.0210) in the nondiabetic patients. Hyperglycemia was significantly associated with increased mortality compared to non-hyperglycemia, with an aOR of 3.641 (P = 0.0024) in the overall cohort and an aOR of 3.492 (P = 0.0035) in the nondiabetic subgroup. Notably, no significant association was observed in diabetic patients (P > 0.05). These findings suggest that elevated ABG serves as an independent predictor of 30-day mortality following PH, particularly in nondiabetic populations, and may facilitate early risk stratification.

Indexed as

Blood GlucoseCerebral HemorrhagePonsAgedAged, 80 and overFemaleHumansHyperglycemiaMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsROC CurveBlood GlucoseBlood glucoseMortalityPontine hemorrhagePrognosis

Identifiers

PMID40691473
PMCPMC12280153

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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.