Evidence map›Paper›PMID 23304079›Full record

Trial reportTheScientificWorldJournal2012

Predictors of acquired perforating dermatosis in uremic patients on hemodialysis: a case-control study.

Cheng-Hao Weng, Ching-Chih Hu, Shir-Hwa Ueng, Chun-Chen Yu, Chung-Yee Hui, Ja-Liang Lin, Chih-Wei Yang, Cheng-Chieh Hung, Ching-Wei Hsu, Tzung-Hai Yen

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in TheScientificWorldJournal, 2012. 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
0.4field-weighted citation impact, top 31% 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, 6 citations in OpenAlex.

  1. Cutaneous manifestations of ESRD.Clinical journal of the American Society of Nephrology : CJASN · 2014
    Review
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

10 authors at 1 institution in 1 country.

Cheng-Hao WengDepartment of Nephrology, Chang Gung Memorial Hospital, 5 Fu-Shin Street, Kwei-Shan, Taoyuan 333, Taiwan.
Ching-Chih Hu
Shir-Hwa Ueng
Chun-Chen Yu
Chung-Yee Hui
Ja-Liang Lin
Chih-Wei Yang
Cheng-Chieh Hung
Ching-Wei Hsu
Tzung-Hai Yen
Chang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe purpose of this study was to identify the predictors of acquired perforating dermatosis (APD) in patients on maintenance hemodialysis (HD).

methodsA case-control study was performed at our outpatient HD center between January 1, 2000 and March 31, 2011. Patients on HD with APD were matched (1 : 2) for gender and age with controls on HD. Conditional logistic regression was used to identify factors associated with APD.

resultsA total of 19 patients with APD and 38 age and gender matched patients were enrolled in the study. Univariate logistic regression showed that APD was significantly associated with diabetes mellitus (DM), reduced levels of intact parathyroid hormone (iPTH) and albumin (Alb), reduced dialysis adequacy (Kt/V) and urea reduction rate (URR), and elevated levels of high-sensitivity C-reactive protein (hsCRP). Multivariate logistic regression identified reduced iPTH (hazard ratio (HR): 0.983; P = 0.026) and Alb (HR: 0.099; P = 0.047) and elevated hsCRP (HR: 1.210, P = 0.024) as risk factors for APD.

conclusionsiPTH, hsCRP, and Alb are predictors for APD in HD patients.

Indexed as

AdultCase-Control StudiesFemaleHumansMaleMiddle AgedParathyroid HormonePredictive Value of TestsRenal DialysisRetrospective StudiesSerum AlbuminSkin DiseasesUremiaParathyroid HormoneSerum Albumin

Identifiers

PMID23304079
PMCPMC3530175
OpenAlexW2088370439

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.