Evidence map›Paper›PMID 38879523›Full record

ArticleEuropean journal of medical research2024

Ischemic cardio-cerebrovascular disease and all-cause mortality in Chinese elderly patients: a propensity-score matching study.

Qian Yang, Shasha Sun, Long-Biao Cui, Shan Gao, Zhenghui Gu, Zhiyi Fang, Yingjie Zhang, Sijia Chen, Naiyuan Sun, Yabin Wang and 1 more

Abstract read
In one paragraph

Article in European journal of medical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Qian YangMedical School of Chinese PLA, Beijing, 100039, China.
Shasha SunThe Fifth Department of Cadre Health Care, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Long-Biao CuiDepartment of Cardiology, The Second Medical Center & National Clinical Research, Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Shan GaoMedical School of Chinese PLA, Beijing, 100039, China.
Zhenghui GuMedical School of Chinese PLA, Beijing, 100039, China.
Zhiyi FangDepartment of Cardiology, The Second Medical Center & National Clinical Research, Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Yingjie ZhangMedical School of Chinese PLA, Beijing, 100039, China.
Sijia ChenMedical School of Chinese PLA, Beijing, 100039, China.
Naiyuan SunDepartment of Cardiology, The Second Medical Center & National Clinical Research, Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China.
Yabin WangDepartment of Cardiology, The Second Medical Center & National Clinical Research, Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China. wyb8202@163.com.ORCID http://orcid.org/0000-0002-7966-6117
Feng CaoDepartment of Cardiology, The Second Medical Center & National Clinical Research, Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, 100853, China. fengcao8828@163.com.ORCID http://orcid.org/0000-0002-1010-6429

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIschemic cardio-cerebrovascular disease is the leading cause of mortality worldwide. However, studies focusing on elderly and very elderly patients are scarce. Hence, our study aimed to characterize and investigate the long-term prognostic implications of ischemic cardio-cerebrovascular diseases in elderly Chinese patients.

methodsThis retrospective cohort study included 1026 patients aged ≥ 65 years who were categorized into the mono ischemic cardio-cerebrovascular disease (MICCD) (either coronary artery disease or ischemic stroke/transient ischemic attack) (n = 912) and the comorbidity of ischemic cardio-cerebrovascular disease (CICCD) (diagnosed with both coronary artery disease and ischemic stroke/transient ischemic attack at admission) (n = 114). The primary outcome was all-cause death. The mortality risk was evaluated using the Cox proportional hazards risk model with multiple adjustments by conventional and propensity-score-based approaches.

resultsOf the 2494 consecutive elderly patients admitted to the hospital, 1026 (median age 83 years [interquartile range]: 76.5-86.4; 94.4% men) met the inclusion criteria. Patients with CICCD consisted mostly of very elderly (79.2% vs. 66.1%, P < 0.001) individuals with a higher burden of comorbidities. Over a median follow-up of 10.4 years, 398 (38.8%) all-cause deaths were identified. Compared with the MICCD group, the CICCD group exhibited a higher adjusted hazard ratio (HR) (95% confidential interval, CI) of 1.71 (1.32-2.39) for long-term mortality after adjusting for potential confounders. The sensitivity analysis results remained robust. After inverse probability of treatment weighting (IPTW) modeling, the CICCD group displayed an even worse mortality risk (IPTW-adjusted HR: 2.07; 95% CI 1.47-2.90). In addition, anemia (adjusted HR: 1.48; 95% CI 1.16-1.89) and malnutrition (adjusted HR: 1.43; 95% CI 1.15-1.78) are also independent risk factors for all-cause mortality among elderly and very elderly patients.

conclusionsOur results thus suggest that elderly patients with ischemic cardio-cerebrovascular disease and anemia or malnutrition may have higher mortality, which may be predicted upon admission. These findings, however, warrant further investigation.

Indexed as

Propensity ScoreAgedAged, 80 and overCause of DeathCerebrovascular DisordersChinaComorbidityCoronary Artery DiseaseEast Asian PeopleFemaleHumansIschemic StrokeMalePrognosisRetrospective StudiesRisk FactorsCohort studyIschemic cardio-cerebrovascular diseaseMortality riskPoly-vascular disease

Identifiers

PMID38879523
PMCPMC11179225

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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.