Evidence map›Paper›PMID 27400185›Full record

ArticleInternational journal of cardiology2016

Mean platelet volume and mortality risk in a national incident hemodialysis cohort.

Steven Kim, Miklos Z Molnar, Gregg C Fonarow, Elani Streja, Jiaxi Wang, Daniel L Gillen, Rajnish Mehrotra, Steven M Brunelli, Csaba P Kovesdy, Kamyar Kalantar-Zadeh and 1 more

Open access · greenAbstract read
In one paragraph

Article in International journal of cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

19 citing papers in PubMed, 30 citations in OpenAlex.

  1. Platelet indices and incident CKD in high-risk individuals.Clinical and experimental nephrology · 2026
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  11. Clinical outcomes at medium-term follow-up of COVID-19.The journal of the Royal College of Physicians of Edinburgh · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 1 country.

Steven KimDepartment of Mathematics and Statistics, California State University Monterey Bay, 100 Campus Center, Seaside, CA 93955, United States. Electronic address: stkim@csumb.edu.
Miklos Z MolnarDivision of Nephrology, University of Tennessee Health Sciences Center, 956 Court Avenue, Memphis, TN 38163, United States. Electronic address: mzmolnar@uthsc.edu.
Gregg C FonarowDivision of Cardiology, David Geffen School of Medicine at University of California Los Angeles, 200 Medical Plaza Driveway, Room 247, Los Angeles, CA 90095, United States. Electronic address: gfonarow@mednet.ucla.edu.
Elani StrejaHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, 101 The City Drive South, Suite 400, Orange, CA, United States. Electronic address: estreja@uci.edu.
Jiaxi WangHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, 101 The City Drive South, Suite 400, Orange, CA, United States. Electronic address: jiaxiw1@uci.edu.
Daniel L GillenDepartment of Statistics, University of California Irvine, 2226 Bren Hall, Irvine, CA 92697, United States. Electronic address: dgillen@uci.edu.
Rajnish MehrotraHarborview Medical Center and Kidney Research Institute, University of Washington, 325 9th Avenue, 3rd floor, NJB352, Seattle, WA 98104, United States. Electronic address: rmehrotra@nephrology.washington.edu.
Steven M BrunelliDaVita Clinical Research, 825 South 8th Street, Suite 300, Minneapolis, MN 55404, United States. Electronic address: steven.brunelli@davita.com.
Csaba P KovesdyDivision of Nephrology, University of Tennessee Health Sciences Center, 956 Court Avenue, Memphis, TN 38163, United States; Nephrology Section, Memphis Veterans Affairs Medical Center, Memphis, TN, United States. Electronic address: ckovesdy@uthsc.edu.
Kamyar Kalantar-ZadehHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, 101 The City Drive South, Suite 400, Orange, CA, United States. Electronic address: kkz@uci.edu.
Connie M RheeHarold Simmons Center for Kidney Disease Research and Epidemiology, University of California Irvine, 101 The City Drive South, Suite 400, Orange, CA, United States. Electronic address: crhee1@uci.edu.
University of California, Irvine · USUniversity of Tennessee Health Science Center · USCalifornia State University, Monterey Bay · USDaVita Clinical Research (United States) · USUniversity of California, Los Angeles · USUniversity of Washington · US

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
Examining Racial and Cardiovascular Paradoxes in Chronic Kidney DiseaseR01DK078106 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KALANTAR-ZADEH, KAMYAR · 2007 to 2011
$1.1M
Hypothyroidism, Cardiovascular Health, and Survival in Kidney DiseaseK23DK102903 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI RHEE, CONNIE MEEYOUNG · 2014 to 2018
$955k
STRUCTURAL STUDIES ON MEMBRANE PROTEINS IN METABOLISMF32DK009568 · NIDDK · UNIVERSITY OF WASHINGTON · PI YEH, JOANNE I · 1997 to 1998
–
NCATS NIH HHS UL1 TR001414NIDDK NIH HHS F32 DK009568NIDDK NIH HHS K23 DK102903NIDDK NIH HHS R01 DK078106
6 · The paper itself

Abstract

backgroundHigher mean platelet volume (MPV) is an indicator of larger, reactive platelets, and has been associated with a higher risk of thrombosis and cardiovascular events in the general population. Hemodialysis patients have a higher risk for cardiovascular death and predisposition to platelet dysfunction (thrombosis and bleeding diathesis), but the relationship between MPV and mortality in this population is unknown.

methodsAmong a 5-year cohort (1/2007-12/2011) of 149,118 incident hemodialysis patients from a large national dialysis organization, we examined the association between MPV and all-cause mortality. In primary analyses, we granularly analyzed MPV across five categories: 7.2-7.5, >7.5-9.5, >9.5-11.5, >11.5-13.5, and >13.5-15.0fL. In secondary analyses, we examined MPV categorized as low, normal, and high based on thresholds in the general population: 7.2-7.5, >7.5-11.5, and >11.5fL, respectively. Associations between baseline and time-dependent MPV with mortality were estimated using traditional and time-dependent Cox models in order to determine long-term and short-term exposure-mortality associations, respectively, using three adjustment levels: unadjusted, case-mix, and case-mix+laboratory models.

resultsIn primary analyses, higher baseline and time-dependent MPV levels were associated with incrementally higher death risk in case-mix+laboratory analyses (reference: >9.5-11.5fL). In secondary analyses, high baseline and time-dependent MPV levels were associated with higher mortality, whereas low MPV was associated with lower death risk across all multivariable models (reference: normal MPV).

conclusionsHemodialysis patients with higher MPV have heightened mortality risk. Further studies are needed to determine the pathophysiologic basis for the higher risk, and if modification of MPV ameliorates mortality in this population.

Indexed as

AgedCohort StudiesFemaleHumansIncidenceLongitudinal StudiesMaleMean Platelet VolumeMiddle AgedMortalityRenal DialysisRisk FactorsUnited StatesCardiovascularHemodialysisMortalityPlateletReactivity

Identifiers

PMID27400185
PMCPMC5929115
OpenAlexW2474033326

What OpenQuestion holds

Textmetadata
LicenceTDM
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.