Evidence map›Paper›PMID 30320415›Full record

ArticleJournal of clinical laboratory analysis2019

CD62P and P10 as predictive markers for assessing the efficacy of hemodialysis in treating end-stage renal disease.

Ji-Rong Yu, Feng-Mei Wang, Sheng-Chun Xu, Min Gao

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2019. 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
0.5field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

4 authors at 1 institution in 1 country.

Ji-Rong YuDepartment of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.ORCID http://orcid.org/0000-0001-9397-1284
Feng-Mei WangDepartment of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.
Sheng-Chun XuDepartment of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.
Min GaoDepartment of Nephrology, Zhongda Hospital Southeast University, Nanjing, China.
Zhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCD62P is a platelet α-granule membrane protein, and P10 is a platelet membrane glycoprotein thrombospondin. To better understand the effects of hemodialysis (HD), we have conducted this study to investigate CD62P and P10 in assessing the efficacy of HD in treating patients with end-stage renal disease (ESRD).

methodsThe case group consisted of 111 patients suffering ESRD treated with regular HD and the control group enrolled 117 healthy subjects. Before and after HD treatment, a series of parameters were observed, based on which, CD62P and P10 levels were detected in the patients in two groups before and after HD therapy. The correlation analysis analyzed the correlations of CD62P and P10 markers with serum creatinine (Scr), blood urea nitrogen (BUN), and subjective score; and logistic regression analysis was performed to reveal factors affecting the efficacy of HD.

resultsBUN, Scr, serum phosphorus, intact parathyroid hormone (iPTH), fibrinogen, and β2-microglobulin (β2-MG) decreased while hemoglobin, albumin, and activated partial thromboplastin time increased in the patients suffering ESRD; patients presented with improvements in subjective symptoms and an increase in dry weight. CD62P and P10 levels were lower in post-treatment patients. CD62P and P10 positively correlated with Scr, BUN and subjective score; post-treatment CD62P and P10 levels, BUN, hemoglobin, albumin, triglyceride, iPTH, β2-MG, and fibrinogen were correlated with the efficacy of HD.

conclusionCD62P and P10 might be correlated to the efficacy of HD in treating ESRD, in turn providing predictive markers for assessing the ability of HD in treating ESRD.

Indexed as

Kidney Failure, ChronicAdultAgedBiomarkersBlood Urea NitrogenCreatinineFemaleHumansMaleMiddle AgedP-SelectinRenal DialysisROC CurveThrombospondinsTreatment OutcomeBiomarkersCreatinineP-SelectinSELP protein, humanThrombospondinsCD62Pefficacyend-stage renal diseaseflow cytometryhemodialysisP10plateletsprediction

Identifiers

PMID30320415
PMCPMC6818603
OpenAlexW2897035154

What OpenQuestion holds

Textmetadata
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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.