Evidence map›Paper›PMID 23959402›Full record

ArticleInternational urology and nephrology2014

Red cell distribution width is associated with mortality in kidney transplant recipients.

Istvan Mucsi, Akos Ujszaszi, Maria E Czira, Marta Novak, Miklos Z Molnar

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In one paragraph

Article in International urology and nephrology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  12. Red Cell Distribution Width and Mortality in Hemodialysis Patients.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2016
    Observational
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  16. Red cell distribution width in renal transplant patients.International urology and nephrology · 2014
    Article
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  18. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 3 countries.

Istvan Mucsi
Akos Ujszaszi
Maria E Czira
Marta Novak
Miklos Z Molnar
Semmelweis University · HURoyal Victoria Hospital · CAThe Lundquist Institute · USUCLA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRed cell distribution width (RDW), a parameter routinely reported as part of the complete blood count, is associated with increased morbidity and mortality risk in different patient populations. No published data are available about the association between RDW and mortality in kidney transplant recipients.

methodsWe collected socio-demographic, clinical parameters, medical and transplant history and laboratory data at baseline in 723 prevalent kidney transplant recipients between June and October 2008 [mean age 51 ± 13 (SD) years, 56 % men, 21 % diabetics]. Associations between baseline RDW values and all-cause mortality over 3 years were examined in unadjusted and adjusted models.

resultsIncreasing RDW was associated with increased mortality in both unadjusted [(HR(1 % increase) = 1.63; 95 % CI 1.41-1.89) and (HR(>median) = 2.74; 95 % CI 1.68-4.48)] and fully adjusted models [(HR(1 % increase) = 1.60; 95 % CI 1.27-1.89) and (HR(>median) = 1.33; 95 % CI 0.76-2.35)]. In reclassification analyses, RDW improved the predictive value of all-cause mortality prediction models [the net reclassification improvement (NRI) was 0.189; p < 0.001].

conclusionsRDW, a cheap and readily available but largely neglected parameter independently, predicts mortality in prevalent kidney transplant recipients and could potentially been used in everyday risk assessment of kidney transplant recipients.

Indexed as

Erythrocyte IndicesFemaleHumansKidney TransplantationMaleMiddle AgedPostoperative ComplicationsProspective Studies

Identifiers

PMID23959402
OpenAlexW1987529985

What OpenQuestion holds

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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.