Evidence map›Paper›PMID 29187389›Full record

ArticleJournal of the American Heart Association2017

Value of Excess Pressure Integral for Predicting 15-Year All-Cause and Cardiovascular Mortalities in End-Stage Renal Disease Patients.

Jui-Tzu Huang, Hao-Min Cheng, Wen-Chung Yu, Yao-Ping Lin, Shih-Hsien Sung, Jiun-Jr Wang, Chung-Li Wu, Chen-Huan Chen

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. The modified arterial reservoir: An update with consideration of asymptotic pressure (Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine · 2020
    Pooled it
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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

8 authors.

Jui-Tzu HuangFaculty of Medicine, National Yang-Ming University, Taipei, Taiwan.
Hao-Min ChengFaculty of Medicine, National Yang-Ming University, Taipei, Taiwan hmcheng@vghtpe.gov.tw chench@vghtpe.gov.tw.
Wen-Chung YuFaculty of Medicine, National Yang-Ming University, Taipei, Taiwan.
Yao-Ping LinFaculty of Medicine, National Yang-Ming University, Taipei, Taiwan.
Shih-Hsien SungFaculty of Medicine, National Yang-Ming University, Taipei, Taiwan.
Jiun-Jr WangSchool of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Chung-Li WuDepartment of Medical Education, Center for Evidence-Based Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chen-Huan ChenFaculty of Medicine, National Yang-Ming University, Taipei, Taiwan hmcheng@vghtpe.gov.tw chench@vghtpe.gov.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe excess pressure integral (XSPI), derived from analysis of the arterial pressure curve, may be a significant predictor of cardiovascular events in high-risk patients. We comprehensively investigated the prognostic value of XSPI for predicting long-term mortality in end-stage renal disease patients undergoing regular hemodialysis. METHODS AND

resultsA total of 267 uremic patients (50.2% female; mean age 54.2±14.9 years) receiving regular hemodialysis for more than 6 months were enrolled. Cardiovascular parameters were obtained by echocardiography and applanation tonometry. Calibrated carotid arterial pressure waveforms were analyzed according to the wave-transmission and reservoir-wave theories. Multivariable Cox proportional hazard models were constructed to account for age, sex, diabetes mellitus, albumin, body mass index, and hemodialysis treatment adequacy. Incremental utility of the parameters to risk stratification was assessed by net reclassification improvement. During a median follow-up of 15.3 years, 124 deaths (46.4%) incurred. Baseline XSPI was significantly predictive of all-cause (hazard ratio per 1 SD 1.4, 95% confidence interval 1.15-1.70,

conclusionsIn end-stage renal disease patients undergoing regular hemodialysis, XSPI was significantly predictive of long-term mortality and demonstrated an incremental value to conventional prognostic factors.

Indexed as

ForecastingArterial PressureBlood PressureCardiovascular DiseasesCause of DeathFemaleFollow-Up StudiesHumansKidney Failure, ChronicMaleMiddle AgedPulse Wave AnalysisRetrospective StudiesRisk FactorsSurvival RateTaiwancardiovascular mortalityhemodynamicsprognosisreservoir‐pressure analysisuremia

Identifiers

PMID29187389
PMCPMC5779003

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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.