Evidence map›Paper›PMID 32807121›Full record

ArticleBMC nephrology2020

Plasma fibrinogen and mortality in patients undergoing peritoneal dialysis: a prospective cohort study.

Jing Yu, Tong Lin, Naya Huang, Xi Xia, Jianbo Li, Yagui Qiu, Xiao Yang, Haiping Mao, Fengxian Huang

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 20 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

9 authors at 1 institution in 1 country.

Jing YuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Tong LinDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Naya HuangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Xi XiaDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Jianbo LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Yagui QiuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Xiao YangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Haiping MaoDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China.
Fengxian HuangDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, China. hfxyl@163.net.ORCID 0000-0003-1954-0093
Sun Yat-sen University · CN

Funding

Guangzhou Municipal Program of Science and Technology 201704020167National Key R&D Program of China 2016YFC0906101National Natural Science Foundation for Young Scholars of China 81700718National Natural Science Foundation of China 81570750National Natural Science Foundation of China 81870575Natural Science Foundation of Guangdong Province 2017A030310044Natural Science Foundation of Guangdong Province 2017A030310199Natural Science Foundation of Guangdong Province 2019A1515010992Operational Grant of Guangdong Provincial Key Laboratory 2017B030314019Science and Technology Program of Guangdong Province 2017A050503003
6 · The paper itself

Abstract

backgroundPlasma fibrinogen is significantly associated with cardiovascular (CV) events and mortality in the general population. However, the association between plasma fibrinogen and mortality in patients undergoing peritoneal dialysis (PD) is unclear.

methodsThis was a prospective cohort study. A total of 1603 incident PD patients from a single center in South China were followed for a median of 46.7 months. A Cox regression analysis was used to evaluate the independent association of plasma fibrinogen with CV and all-cause mortality. Models were adjusted for age, sex, smoking, a history of CV events, diabetes, body mass index, systolic blood pressure, hemoglobin, blood platelet count, serum potassium, serum albumin, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, hypersensitive C-reactive protein, estimated glomerular filtration rate, antiplatelet agents and lipid-lowering drugs.

resultsThe mean age was 47.4 ± 15.3 years, 955 (59.6%) patients were male, 319 (19.9%) had a history of CV events, and 410 (25.6%) had diabetes. The average plasma fibrinogen level was 4.12 ± 1.38 g/L. Of the 474 (29.6%) patients who died during follow-up, 235 (49.6%) died due to CV events. In multivariable models, the adjusted hazard ratios (HRs) for quartile 1, quartile 3, and quartile 4 versus quartile 2 were 1.18 (95% confidence interval [CI], 0.72-1.95, P = 0.51), 1.47 (95% CI, 0.93-2.33, P = 0.10), and 1.78 (95% CI, 1.15-2.77, P = 0.01) for CV mortality and 1.20 (95% CI, 0.86-1.68, P = 0.28), 1.29 (95% CI, 0.93-1.78, P = 0.13), and 1.53 (95% CI, 1.12-2.09, P = 0.007) for all-cause mortality, respectively. A nonlinear relationship between plasma fibrinogen and CV and all-cause mortality was observed.

conclusionsAn elevated plasma fibrinogen level was significantly associated with an increased risk of CV and all-cause mortality in patients undergoing PD.

Indexed as

MortalityPeritoneal DialysisAdultAgedCardiovascular DiseasesCause of DeathChinaCohort StudiesFemaleFibrinogenHumansKidney Failure, ChronicLinear ModelsMaleMiddle AgedProspective StudiesFibrinogenAll-cause mortalityCardiovascular mortalityPeritoneal dialysisPlasma fibrinogen

Identifiers

PMID32807121
PMCPMC7430005
OpenAlexW3049292077

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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.