Evidence map›Paper›PMID 33883954›Full record

ArticleRisk management and healthcare policy2021

The Relationship Between Blood Interleukin-10 and Cardiovascular Mortality and All-Cause Mortality After Kidney Transplantation.

Chen Gao, Fenghua Peng, Xubiao Xie, Longkai Peng

Open access · goldAbstract read
In one paragraph

Article in Risk management and healthcare policy, 2021. 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 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 2 institutions in 1 country.

Chen GaoDepartment of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, People's Republic of China.
Fenghua PengDepartment of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, People's Republic of China.
Xubiao XieDepartment of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, People's Republic of China.
Longkai PengDepartment of Kidney Transplantation, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, People's Republic of China.
Central South University · CNSecond Xiangya Hospital of Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating interleukin (IL)-10 is associated with adverse cardiovascular events in chronic kidney disease (CKD). Whether IL-10 predicts cardiovascular and all-cause mortality after kidney transplantation (KT) is unknown.

methodsThe association between plasma IL-10 and cardiovascular and all-cause mortality was analyzed in a prospective cohort, which included 418 stable kidney transplant recipients, at a median of 3.6 (range=1.2-8.4) years after transplantation. Multivariate Cox regression models were performed to adjusting related confounding factors.

resultsMedian level of IL-10 in KT patient was 22.3 pg/mL. Multivariate Cox regression analysis revealed that serum levels IL-10 were significantly and independently associated with cardiovascular mortality after adjusting for age, gender, BMI, current smoker, current drinker, cause of kidney disease, systolic and diastolic BP, laboratory indexes and medication (HR=1.26, 95% CI 1.19-2.08,

conclusionPlasma IL-10 is independently and significant associated with cardiovascular and all-cause mortality after kidney transplantation. The significant association is independent of cardiovascular risk factors and other related confounding factors.

Indexed as

all-cause mortalitycardiovascular mortalityCox regressionIL-10kidney transplantationprognosis

Identifiers

PMID33883954
PMCPMC8053705
OpenAlexW3155304467

What OpenQuestion holds

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LicenceCC BY-NC
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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.