Evidence map›Paper›PMID 34807279›Full record

ArticleHeart and vessels2022

Glasgow prognostic score can be a prognostic indicator after percutaneous coronary intervention: a two-center study in Japan.

Ryota Noike, Hideo Amano, Shinya Suzuki, Hiroto Kano, Yuji Oikawa, Junji Yajima, Shojiro Hirano, Yoshimasa Kojima, Yosuke Oka, Hiroto Aikawa and 16 more

Abstract read
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In one paragraph

Article in Heart and vessels, 2022. 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
0.5field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

26 authors at 2 institutions in 1 country.

Ryota NoikeDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Hideo AmanoDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan. amanohide@med.toho-u.ac.jp.
Shinya SuzukiThe Cardiovascular Institute, Tokyo, Japan.
Hiroto KanoThe Cardiovascular Institute, Tokyo, Japan.
Yuji OikawaThe Cardiovascular Institute, Tokyo, Japan.
Junji YajimaThe Cardiovascular Institute, Tokyo, Japan.
Shojiro HiranoDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan.
Yoshimasa KojimaDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan.
Yosuke OkaDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan.
Hiroto AikawaDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan.
Shingo MatsumotoDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan.
Takayuki YabeDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan.
Ryo OkuboDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Faculty of Medicine, Tokyo, Japan.
Rine NakanishiDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Takuto AritaThe Cardiovascular Institute, Tokyo, Japan.
Naoharu YagiThe Cardiovascular Institute, Tokyo, Japan.
Mikio KishiThe Cardiovascular Institute, Tokyo, Japan.
Hiroaki SembaThe Cardiovascular Institute, Tokyo, Japan.
Shunsuke MatsunoThe Cardiovascular Institute, Tokyo, Japan.
Yuko KatoThe Cardiovascular Institute, Tokyo, Japan.
Takayuki OtsukaThe Cardiovascular Institute, Tokyo, Japan.
Tokuhisa UejimaThe Cardiovascular Institute, Tokyo, Japan.
Minoru MatsuhamaThe Cardiovascular Institute, Tokyo, Japan.
Mitsuru IidaThe Cardiovascular Institute, Tokyo, Japan.
Takeshi YamashitaThe Cardiovascular Institute, Tokyo, Japan.
Takanori IkedaDivision of Cardiovascular Medicine, Department of Internal Medicine, Toho University Graduate School Medicine, 6-11-1 Omorinishi, Ota-ku, Tokyo, 143-8541, Japan.
Cardiovascular Institute Hospital · JPToho University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glasgow prognostic score (GPS) has been used to evaluate inflammatory response and nutritional status. This study aimed to investigate the impact of nutritional status on cardiac prognosis by using GPS in patients after undergoing percutaneous coronary intervention (PCI). We included 862 patients who underwent PCI for stable angina pectoris between 2015 and 2018. We used the original cutoff values, which were an albumin (Alb) level of 3.5 g/dl and a C-reactive protein (CRP) level of 0.3 mg/dl. We categorized them into the three groups: originally defined GPS (od-GPS) 0 (high Alb and low CRP), 1 (low Alb or high CRP), and 2 (low Alb and high CRP). Major adverse clinical events (MACEs) included all-cause death, nonfatal myocardial infarction, revascularization, and hospitalization for heart failure. The median follow-up period was 398.5 days. During the follow-up, MACEs occurred in 136 patients. Od-GPS 2 had higher prevalence rates in terms of chronic kidney disease (CKD; 31.7% [229/722] vs. 44.9% [53/118] vs. 63.6% [14/22], p < 0.001), hemodialysis (6.4% [46/722] vs. 14.4% [17/118] vs. 31.8% [7/22], p < 0.001), and heart failure cases (HF; 9.1% [66/722] vs. 14.4% [17/118] vs. 27.3% [6/22], p = 0.007), with higher creatinine (1.17 ± 1.37 mg/dl vs. 1.89 ± 2.60 mg/dl vs. 3.49 ± 4.01 mg/dl, p < 0.001) and brain natriuretic peptide levels (104.1 ± 304.6 pg/ml vs. 242.4 ± 565.9 pg/ml vs. 668.1 ± 872.2 pg/ml, p < 0.001) and lower low-density lipoprotein cholesterol (101.5 ± 32.9 mg/dl vs. 98.2 ± 28.8 mg/dl vs. 77.1 ± 24.3 mg/dl, p = 0.002) than od-GPS 0 and 1.Od-GPS 2 (HR 2.42; 95% CI 1.16-5.02; p = 0.018), od-GPS 1 (HR 2.09; 95% CI 1.40-3.13; p < 0.001), diabetes (HR 1.41; 95% CI 1.00-1.99; p = 0.048), CKD (HR 2.10; 95% CI 1.49-2.96; p < 0.001), and HF (HR 1.64; 95% CI 1.05-2.56; p = 0.029) were independent predictors of MACEs. A scoring system using CRP and Alb levels with a milder definition than GPS suitably predicted the risk of MACEs in the patients who underwent PCI.

Indexed as

Heart FailurePercutaneous Coronary InterventionRenal Insufficiency, ChronicHumansJapanPrognosisRetrospective StudiesGlasgow prognostic scoreMalnutritionPercutaneous coronary interventionStable angina pectoris

Identifiers

PMID34807279
OpenAlexW3216068488

What OpenQuestion holds

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Registered trials

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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.