Evidence map›Paper›PMID 25758263›Full record

ArticleChinese medical journal2015

Clinical utility of the ratio between circulating fibrinogen and fibrin (ogen) degradation products for evaluating coronary artery disease in type 2 diabetic patients.

Wei-Xin Xiong, Ying Shen, Dao-Peng Dai, Lin Lu, Qi Zhang, Rui-Yan Zhang, Wei-Feng Shen, Rong Tao

Open access · goldAbstract read
In one paragraph

Article in Chinese medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
–field-weighted citation impact, top 94% 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

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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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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

8 authors at 2 institutions in 1 country.

Wei-Xin Xiong
Ying Shen
Dao-Peng Dai
Lin Lu
Qi Zhang
Rui-Yan Zhang
Wei-Feng Shen
Rong TaoDepartment of Cardiology, Ruijin Hospital, Jiao Tong University School of Medicine, Shanghai 200025, China.
Ruijin Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated whether and to what extent the ratio between circulating fibrinogen (Fg) and its degradation products (FDP) reflects the severity of coronary artery disease (CAD) in type 2 diabetic patients.

methodsPlasma levels of Fg and FDP were determined, and Fg/FDP ratio was calculated in 344 consecutive patients with type 2 diabetes and chest pain on exertion undergoing coronary angiography. The severity of CAD was evaluated by the number of significant CAD (>50% luminal diameter narrowing) and Gensini score.

resultsPlasma Fg was higher, but Fg/FDP ratio was lower in patients with significant CAD (n = 255) compared with those without (n = 89), due to a disproportionate increase in FDP. Fg and FDP correlated positively, while Fg/FDP ratio negatively, with the number of diseased coronary arteries and the tertile of Gensini score (all P values for trend < 0.01). After adjusting for age, sex, risk factors for CAD, lipid profiles, glycosylated hemoglobin A1c, creatinine, leukocyte count, and high-sensitivity C-reactive protein, Fg/FDP ratio remained an independent determinant for multivessel coronary disease (MVD) (odds ratio [OR], 0.869; 95% confidence interval [CI], 0.788-0.958, P = 0.005) and high tertile of Gensini score (OR, 0.797, 95% CI, 0.682-0.930, P = 0.004). The area under the curve of Fg/FDP ratio was larger than that of Fg for predicting the presence of MVD (0.647 vs. 0.563, P = 0.048) and Gensini score ≥ 30 (0.656 vs. 0.538, P = 0.026).

conclusionsElevated plasma Fg and FDP level and reduced Fg/FDP ratio are associated with presence of CAD, and Fg/FDP ratio is superior to Fg in reflecting severe coronary atherosclerosis for patients with type 2 diabetes.

Indexed as

AgedCoronary AngiographyCoronary Artery DiseaseDiabetes Mellitus, Type 2FemaleFibrinFibrinogenHumansMaleMiddle AgedFibrinFibrinogen

Identifiers

PMID25758263
PMCPMC4833973
OpenAlexW2005148169

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LicenceCC BY-NC-SA
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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.