Evidence map›Paper›PMID 27694753›Full record

ArticleBlood purification2016

The Influence of Hemodialysis on T Regulatory Cells: A Meta-Analysis and Systematic Review.

Carlotta Caprara, Gilbert R Kinsey, Valentina Corradi, Wenjun Xin, Jennie Z Ma, Elisa Scalzotto, Francesca K Martino, Mark D Okusa, Federico Nalesso, Fiorenza Ferrari and 2 more

Registry-linked trialOpen access · bronzeAbstract readComment
PubMed Publisher
In one paragraph

Article in Blood purification, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04286477 (The Immune System in End Stage Chronic Kidney Disease), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.7field-weighted citation impact, top 27% 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.

NCT04286477 unknown statusnot on this mapstarted 2018, after this paper: background citation

The Immune System in End Stage Chronic Kidney Disease (CKD) Patients - Comparison Among Different Modalities of Renal Replacement Therapy (RRT)

TypeobservationalSponsorUniversity of IoanninaRan2018 to 2022Enrolled45ConditionsEnd Stage Renal Disease on Dialysis
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 18 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Carlotta Caprara
Gilbert R Kinsey
Valentina Corradi
Wenjun Xin
Jennie Z Ma
Elisa Scalzotto
Francesca K Martino
Mark D Okusa
Federico Nalesso
Fiorenza Ferrari
Mitchell Rosner
Claudio Ronco
International Renal Research Institute of Vicenza · ITUniversity of Virginia · USUniversity of Virginia Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThe study aimed to determine whether the available literature supports a positive or negative influence of dialysis on regulatory T-cells (Tregs).

methodsWe performed a systematic search and a meta-analysis. Mean differences in Tregs number of chronic kidney disease stages G5 on dialysis patients (CKD G5D) and healthy controls (HCs) were compared. Random effects model was applied. The software used was general package for meta-analysis (version 4.3-0, depends R (≥2.9.1)).

resultsFive studies were included in the meta-analysis. The mean difference in percentage of Tregs on CD4+ T-cells between CKD G5D and HCs was not statistically different. Moreover, CKD GFR stages G5 not on dialysis (CKD G5) versus HC (p = 0.002; mean difference in Treg percentage was -2.47% in CKD G5 vs. HC) and CKD G5 versus CKD G5D (not significant).

conclusionThis meta-analysis demonstrates an association between the uremic state and lower Tregs, and supports the hypothesis that hemodialysis alter Tregs. Our findings highlight the need for new clinical studies. Video Journal Club 'Cappuccino with Claudio Ronco' at http://www.karger.com/?doi=449242.

Indexed as

Renal DialysisRenal Insufficiency, ChronicHumans

Identifiers

PMID27694753
OpenAlexW2526148815

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.