Evidence map›Paper›PMID 33593328›Full record

ArticleBMC nephrology2021

Impact of pre-dialysis nephrology care engagement and decision-making on provider and patient action toward permanent vascular access.

Vanessa Grubbs, Bernard G Jaar, Kerri L Cavanaugh, Patti L Ephraim, Jessica M Ameling, Courtney Cook, Raquel C Greer, L Ebony Boulware

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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 at 7 institutions in 1 country.

Vanessa GrubbsDivision of Nephrology, San Francisco/ San Francisco General Hospital Renal Center, University of California, Box 1341, 1001 Potrero Avenue, Bldg 100, Room 342, San Francisco, CA, 94110, USA. vanessa.grubbs@ucsf.edu.
Bernard G JaarDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Kerri L CavanaughDivision of Nephrology & Hypertension, Vanderbilt University Medical Center, Nashville, TN, USA.
Patti L EphraimDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Jessica M AmelingDepartment of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
Courtney CookDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Raquel C GreerDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA.
L Ebony BoulwareDuke University Medical Center, Durham, NC, UK.
Johns Hopkins Medicine · USDuke Medical Center · USJohns Hopkins University · USNephrology Center of Maryland · USSan Francisco General Hospital · USVA Ann Arbor Healthcare System · USVanderbilt University Medical Center · US

Funding

Addressing Literacy and Numeracy in Self-care & Clinical Outcomes in ESRDK23DK080952 · NIDDK · VANDERBILT UNIVERSITY · PI CAVANAUGH, KERRI · 2008 to 2012
$915k
Improving Primary Care to Narrow Racial Disparities in Chronic Kidney DiseaseK23DK094975 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GREER, RAQUEL CHARLES · 2012 to 2015
$722k
NIDDK NIH HHS K23 DK080952NIDDK NIH HHS K23 DK094975
6 · The paper itself

Abstract

backgroundWhile catheters are often thought the result of emergency hemodialysis (HD) initiation among patients with little or no pre-dialysis nephrology care, the role of patient level of engagement in care and modality decision-making have not been fully explored.

methodsThis is a retrospective medical record review of adults (age 18-89 years) who received care in academically affiliated private practice, public hospital, or Veterans Administration settings prior to initiating HD with a catheter between 10/1/2011 and 9/30/2012. Primary predictors were level of patient engagement in nephrology care within 6 months of HD initiation and timing of modality decision-making. Primary outcomes were provider action (referral) and any patient action (evaluation by a vascular surgeon, vein mapping or vascular surgery) toward [arteriovenous fistula or graft, (AVF/AVG)] creation.

resultsAmong 92 incident HD patients, 66% (n = 61) initiated HD via catheter, of whom 34% (n = 21) had ideal engagement in care but 42% (n = 25) had no documented decision. Providers referred 48% (n = 29) of patients for AVF/AVG, of whom 72% (n = 21) took any action. Ideal engagement in care predicted provider action (adjusted OR 13.7 [95% CI 1.08, 175.1], p = 0.04), but no level of engagement in care predicted patient action (p > 0.3). Compared to patients with no documented decision, those with documented decisions within 3, 3-12, or more than 12 months before initiating dialysis were more likely to have provider action toward AVF/AVG (adjusted OR [95% CI]: 9.0 [1.4,55.6], p = 0.2, 37.6 [3.3423.4] p = 0.003, and 4.8 [0.8, 30.6], p = 0.1, respectively); and patient action (adjusted OR [95% CI]: 18.7 [2.3, 149.0], p = 0.006, 20.4 [2.6, 160.0], p = 0.004, and 6.2 [0.9, 44.0], p = 0.07, respectively).

conclusionsTiming of patient modality decision-making, but not level of engagement in pre-dialysis nephrology care, was predictive of patient and provider action toward AVF/AVG Interventions addressing patients' psychological preparation for dialysis are needed.

Indexed as

Arteriovenous Shunt, SurgicalCatheters, IndwellingClinical Decision-MakingNephrologyPatient ParticipationRenal DialysisAdolescentAdultAgedAged, 80 and overFemaleHumansKidney Failure, ChronicMaleMiddle AgedRetrospective StudiesHemodialysisPatient decision-makingPre-dialysis nephrology careVascular access

Identifiers

PMID33593328
PMCPMC7885501
OpenAlexW3129943583

What OpenQuestion holds

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LicenceCC BY
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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.