Evidence map›Paper›PMID 27052263›Full record

ArticleThe Korean journal of internal medicine2017

Which dialysis unit blood pressure is the most accurate for predicting home blood pressure in patients undergoing hemodialysis?

In-Cheol Yoon, Hye-Min Choi, Dong-Jin Oh

Open access · goldAbstract read
In one paragraph

Article in The Korean journal of internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

3 authors at 2 institutions in 1 country.

In-Cheol YoonDepartment of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Goyang, Korea.
Hye-Min ChoiDepartment of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Goyang, Korea.
Dong-Jin OhDepartment of Internal Medicine, Myongji Hospital, Seonam University College of Medicine, Goyang, Korea.
Myongji Hospital · KRSeonam University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsWe investigated which dialysis unit blood pressure (BP) is the most useful for predicting home BP in patients undergoing hemodialysis (HD).

methodsPatients undergoing HD who had been treated > 3 months were included in this study. Exclusion criteria were hospitalized patients with acute illness and changes in dry weight and anti-hypertensive drugs 2 weeks before the study. We used the dialysis unit BP recording data, such as pre-HD, intra-HD, post-HD, mean pre-HD, and post-HD (pre-post-HD), mean pre-HD, intra-HD, and post-HD (pre-intra-post-HD) BP. Home BP (the same period of dialysis unit BP) was monitored as a reference method during 2 weeks using the same automatic oscillometric device. Patients were asked to record their BP three times daily (wake up, between noon and 6:00 PM, and at bedtime).

resultsSignificant differences were detected between home systolic blood pressure (SBP) and pre-HD, post-HD, and intra-HD SBP (

conclusionsThese results suggest that pre-intra-post-HD and pre-post-HD SBP had similar accuracy for predicting mean 2-week home SBP in HD patients. Therefore, pre-intra-post-HD and pre-post-HD SBP should be useful for predicting home SBP in HD patients if ambulatory or home BP measurements are unavailable.

Indexed as

Blood PressureRenal DialysisAgedArea Under CurveBlood Pressure Monitoring, AmbulatoryFemaleHumansHypertensionKidney DiseasesMaleMiddle AgedPredictive Value of TestsReproducibility of ResultsROC CurveSystoleTime FactorsBlood pressureHemodialysis units, hospitalHomeHypertensionRenal dialysis

Identifiers

PMID27052263
PMCPMC5214727
OpenAlexW2323153857

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.