Evidence map›Paper›PMID 38802785›Full record

ArticleBMC neurology2024

Malignant tumor increases the risk of all causes in-hospital mortality in critically ill patients with ischemic stroke: analysis of the MIMIC-IV database.

Qiwei Wang, Wang Fu, Feng Wang

Abstract read
In one paragraph

Article in BMC neurology, 2024. 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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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.

  1. Trial
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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

3 authors.

Qiwei Wang *Department of Neurology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China.
Wang Fu *Department of Neurology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China.
Feng WangDepartment of Neurology, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China. 13816566556@163.com.

Funding

2021 Scientific Research Project of Shanghai Municipal Commission of Health and Family Planning NO.202140282Discipline Construction of Pudong Health Bureau of Shanghai--Discipline group of cerebrovascular system diseases Grant No. PWZxq2022-01Natural Science Foundation of Shanghai Municipality NO.23ZR1448700Outstanding Leaders Training Program of Pudong Health Bureau of Shanghai Grant No. PWR12020-03Shanghai Committee of Science and Technology,China 23Y11906400
6 · The paper itself

Abstract

backgroundIschemic stroke (IS) and malignant tumor (MT) have high morbidity and mortality rates worldwide, and several associations exist between them. This study aimed to determine the effect of MT on hospital mortality in patients with IS.

methodsBased on their MT status, participants with IS in the Medical Information Mart for Intensive Care IV (MIMIC-IV) were divided into two groups. The primary outcome was in-hospital all causes mortality. Kaplan-Meier survival analysis was performed to evaluate the intergroup in-hospital mortality, and three Cox regression models were used to determine the association between MT and in-hospital mortality.

resultsA total of 1605 participants (749 males and 856 females) were included in the study. The mean age was 72.030 ± 15.463 years. Of these, 257 (16%) patients died in the hospital. Kaplan-Meier analysis showed that the MT group had a significantly lower possibility of in-hospital survival than the non-MT group. In the unadjusted model, in-hospital mortality among MT patients had a higher odds ratio (OR) of 1.905 (95% CI, 1.320-2.748; P < 0.001) than the non-MT group. After adjusting for basic information, vital signs, and laboratory data, MT was also associated with increased in-hospital mortality (OR = 1.844, 95% CI: 1.255-2.708; P = 0.002).

conclusionsAmong the patients with IS, the risk of all causes in-hospital mortality was higher for MT than for patients non-MT. This finding can assist clinicians in more accurately assessing prognosis and making informed treatment decisions.

Indexed as

Critical IllnessHospital MortalityIschemic StrokeAgedAged, 80 and overDatabases, FactualFemaleHumansMaleMiddle AgedNeoplasmsRisk FactorsICUIn-hospital mortalityIschemic strokeMalignant tumorMIMIC database

Identifiers

PMID38802785
PMCPMC11129437

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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.