Evidence map›Paper›PMID 31689764›Full record

Observational studyMedicine2019

Differential predictive factors for cardiovascular events in patients with or without cancer history.

Daisuke Sueta, Noriaki Tabata, Satoshi Ikeda, Yuichi Saito, Kazuyuki Ozaki, Kenji Sakata, Takeshi Matsumura, Mutsuko Yamamoto-Ibusuki, Yoji Murakami, Takayuki Jodai and 14 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Relationship between antithrombotic drugs and postoperative outcomes in patients with gastric cancer after gastrectomy: a propensity matching analysis.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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  9. Article
  10. Observational
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

24 authors at 5 institutions in 1 country.

Daisuke SuetaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences.
Noriaki TabataDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences.
Satoshi IkedaDepartment of Cardiovascular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki.
Yuichi SaitoDepartment of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba.
Kazuyuki OzakiDepartment of Cardiovascular Biology and Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata.
Kenji SakataDepartment of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine, Kanazawa.
Takeshi MatsumuraCenter for Metabolic Regulation of Healthy Aging, Kumamoto University, Kumamoto.
Mutsuko Yamamoto-IbusukiDepartment of Breast and Endocrine Surgery, Graduate School of Medical Sciences.
Yoji MurakamiDepartment of Urology, Faculty of Life Sciences.
Takayuki JodaiDepartment of Respiratory Medicine, Graduate School of Medical Sciences.
Satoshi FukushimaDepartment of Dermatology and Plastic Surgery, Faculty of Life Sciences.
Naoya YoshidaDepartment of Gastroenterological Surgery, Graduate School of Medical Sciences.
Tomomi KambaDepartment of Urology, Faculty of Life Sciences.
Eiichi ArakiCenter for Metabolic Regulation of Healthy Aging, Kumamoto University, Kumamoto.
Hirotaka IwaseDepartment of Breast and Endocrine Surgery, Graduate School of Medical Sciences.
Kazuhiko FujiiDepartment of Respiratory Medicine, Graduate School of Medical Sciences.
Hironobu IhnDepartment of Dermatology and Plastic Surgery, Faculty of Life Sciences.
Yoshio KobayashiDepartment of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba.
Tohru MinaminoDepartment of Cardiovascular Biology and Medicine, Niigata University Graduate School of Medical and Dental Sciences, Niigata.
Masakazu YamagishiDepartment of Cardiovascular and Internal Medicine, Kanazawa University Graduate School of Medicine, Kanazawa.
Koji MaemuraDepartment of Cardiovascular Medicine, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki.
Hideo BabaCenter for Metabolic Regulation of Healthy Aging, Kumamoto University, Kumamoto.
Kunihiko MatsuiCommunity, Family, and General Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences.
Kumamoto University · JPChiba University · JPKanazawa University · JPNagasaki University · JPNiigata University · JP

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

Although attention has been paid to the relationship between malignant diseases and cardiovascular diseases, few data have been reported. Moreover, there have also been few reports in which the preventive factors were examined in patients with or without malignant disease histories requiring percutaneous coronary intervention (PCI).This was a retrospective, single-center, observational study. A total of 1003 post-PCI patients were divided into a malignant group, with current or past malignant disease, and a nonmalignant group. The primary endpoint was a composite of cardiovascular death, nonfatal myocardial infarction, stroke, revascularization, and admission due to heart failure within 5 years of PCI. Kaplan-Meier analysis showed a significantly higher probability of the primary endpoint in the malignant group (P = .002). Multivariable Cox hazard analyses showed that in patients without a history of malignant, body mass index (BMI) and the presence of dyslipidemia were independent and significant negative predictors of the primary endpoint (BMI: hazard ratio [HR] 0.73, 95% confidence interval [CI] 0.53-0.99, P = .041; prevalence of dyslipidemia: HR 0.72, 95% CI 0.52-0.99, P = .048), and the presence of multi-vessel disease (MVD) and the prevalence of peripheral artery disease (PAD) were independent and significant positive predictors of the primary endpoint (prevalence of MVD: HR 1.68, 95% CI 1.18-2.40, P = .004; prevalence of PAD: HR 1.51, 95% CI 1.03-2.21, P = .034). In patients with histories of malignancy, no significant independent predictive factors were identified.Patients undergoing PCI with malignancy had significantly higher rates of adverse cardiovascular events but might not have the conventional prognostic factors.

Indexed as

AgedAged, 80 and overBlood GlucoseBlood PressureBody Mass IndexCardiovascular DiseasesDyslipidemiasFemaleHeart FailureHumansKaplan-Meier EstimateMaleMiddle AgedMyocardial InfarctionNeoplasmsPercutaneous Coronary InterventionBlood Glucose

Identifiers

PMID31689764
PMCPMC6946347
OpenAlexW2984535794

What OpenQuestion 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 OpenQuestion graph.