Evidence map›Paper›PMID 25157699›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2014

Poor agreement between dialysis unit blood pressure and interdialytic ambulatory blood pressure.

Wenjin Liu, Jing Niu, Chunsun Dai, Junwei Yang

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Trial
  2. On poor agreement between dialysis unit and ambulatory blood pressures.Journal of clinical hypertension (Greenwich, Conn.) · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Wenjin LiuCenter for Kidney Disease, 2nd Affiliated Hospital, Nanjing Medical University, Nanjing, China.
Jing Niu
Chunsun Dai
Junwei Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although ambulatory blood pressure (ABP) monitoring (ABPM) is often considered to have an advantage over dialysis unit blood pressure (BP) in dialysis patients, the exact relationship between these two measurements of BP has not been well determined. In a cohort of 90 Chinese dialysis patients, agreement between dialysis unit BP (predialysis and postdialysis BP) and interdialytic ABP was evaluated using Bland-Altman plots and Lin's concordance correlation coefficient for quantitative analysis, and inter-rater agreement (κ) for qualitative analysis. Limits of agreement between dialysis unit BP and ABP were wide (predialysis systolic BP: -33.5 to 20.9 mm Hg; predialysis diastolic BP: -22.2 to 11.9 mm Hg; postdialysis systolic BP: -25.4 to 26.5 mm Hg; postdialysis diastolic BP: -18.4 to 12.3 mm Hg). Lin's concordance correlation coefficient exhibited a poor agreement with concordance correlation coefficients of 0.75, 0.81, 0.64, and 0.75 for predialysis systolic BP, postdialysis systolic BP, predialysis diastolic BP, and postdialysis diastolic BP, respectively. When BP level was classified into quartiles, an increasing trend for incorrect classification rate was observed with deleterious hypertension, with the highest value in grade 3 hypertension (100% and 75.0% for predialysis and postdialysis BP, respectively). Therefore, these data suggest that agreement between dialysis unit BP and interdialytic ABP is poor in Chinese dialysis patients, and the bias for patients with higher degree of hypertension is more prominent.

Indexed as

Blood Pressure Monitoring, AmbulatoryHemodialysis Units, HospitalAdultAgedBlood PressureChinaCohort StudiesCross-Sectional StudiesFemaleHumansHypertension, RenalMaleMathematical ComputingMiddle AgedStatistics as Topic

Identifiers

PMID25157699
PMCPMC8032010

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.