Evidence map›Paper›PMID 36405991›Full record

ArticleMediators of inflammation2022

Effect of Mean Platelet Volume to Platelet Count Ratio on Mortality in Peritoneal Dialysis.

Jiasi Chen, Zhong Zhong, Jianbo Li, Jianwen Yu, Yi Yu, Bin Li, Haiping Mao, Zhijian Li

Abstract read
In one paragraph

Article in Mediators of inflammation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  4. Observational
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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

8 authors.

Jiasi Chen *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0002-3759-8574
Zhong Zhong *Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0002-8613-7758
Jianbo LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Jianwen YuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Yi YuDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Bin LiClinical Trials Unit, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
Haiping MaoDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0002-3608-3851
Zhijian LiDepartment of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.ORCID https://orcid.org/0000-0002-2308-7060

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Mean platelet volume to platelet count ratio (MPV/PC) has been found to be an independent risk factor for mortality in various diseases, including cardiovascular disease, cancer, and hemodialysis. We aimed to evaluate the association between MPV/PC and all-cause and cardiovascular (CV) mortality in peritoneal dialysis (PD) patients. Methods and Results: We conducted a retrospective cohort study at a single center and enrolled 1473 PD patients who were catheterized at our PD center from January 1, 2006, to December 31, 2013. All patients were divided into four groups according to the quartiles of baseline MPV/PC levels and followed up until December 31, 2018. A total of 453 patients died, and 221 deaths were caused by cardiovascular disease during a median follow-up time of 48.0 (21.9-82.2) months. There was a significant interaction by age of association between MPV/PC level and all-cause mortality ( Conclusion: Our results indicated that low MPV/PC level was an independent risk factor for all-cause and CV mortality in PD patients aged less than 60 years.

Indexed as

Cardiovascular DiseasesPeritoneal DialysisHumansMean Platelet VolumePlatelet CountPrognosisRetrospective Studies

Identifiers

PMID36405991
PMCPMC9671719

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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.