Evidence map›Paper›PMID 30309898›Full record

Observational studyJournal of the American Society of Nephrology : JASN2018

Prediction of Arteriovenous Fistula Clinical Maturation from Postoperative Ultrasound Measurements: Findings from the Hemodialysis Fistula Maturation Study.

Michelle L Robbin, Tom Greene, Michael Allon, Laura M Dember, Peter B Imrey, Alfred K Cheung, Jonathan Himmelfarb, Thomas S Huber, James S Kaufman, Milena K Radeva and 10 more

Erratum issuedOpen access · bronzeAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Journal of the American Society of Nephrology : JASN, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
19.2field-weighted citation impact, top 1% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 177 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Article
  5. Human Data First: New Biological Premises for Arteriovenous Fistula Research.Arteriosclerosis, thrombosis, and vascular biology · 2026
    Review
  6. Optimizing Dialysis Vascular Access: Moving beyond Fistula First.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 12 institutions in 3 countries.

Michelle L RobbinDepartment of Radiology and mrobbin@uabmc.edu.
Tom GreeneDepartments of Population Health Sciences and.
Michael AllonDivision of Nephrology, University of Alabama at Birmingham, Birmingham, Alabama.
Laura M DemberRenal, Electrolyte and Hypertension Division, Department of Medicine, and Center for Clinical Epidemiology and Biostatistics, and Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Peter B ImreyDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
Alfred K CheungVeterans Affairs Salt Lake City Healthcare System, Salt Lake City, Utah.ORCID 0000-0002-7304-9476
Jonathan HimmelfarbKidney Research Institute, Department of Medicine, University of Washington, Seattle, Washington.
Thomas S HuberDivision of Vascular Surgery, University of Florida College of Medicine, Gainesville, Florida.
James S KaufmanRenal Section, Veterans Affairs New York Harbor Healthcare System, New York, New York.
Milena K RadevaDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
Prabir Roy-ChaudhuryDivision of Nephrology, University of Arizona College of Medicine, Tucson, Arizona.
Yan-Ting ShiuDivision of Nephrology and Hypertension, University of Utah, Salt Lake City, Utah.
Miguel A VazquezDivision of Nephrology, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas.
Heidi R UmphreyDepartment of Radiology and.
Lauren AlexanderDepartment of Radiology, Mayo Clinic, Jacksonville, Florida.
Carl AbtsDepartment of Radiology and.
Gerald J BeckDepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, Ohio.
John W KusekDivision of Kidney, Urologic and Hematologic Diseases, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland.
Harold I FeldmanDepartment of Biostatistics and Epidemiology, Department of Medicine, and Center for Clinical Epidemiology and Biostatistics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania.
Hemodialysis Fistula Maturation Study Group
Cleveland Clinic Lerner College of Medicine · USUniversity of Utah · USCentral South University · CNInstitute of Population and Public Health · CAJacksonville College · USUniversity of Alabama at Birmingham · USUniversity of Arizona · USUniversity of Florida · USUniversity of Pennsylvania · USUniversity of Washington · USVA NY Harbor Healthcare System · USVA Salt Lake City Healthcare System · US

Funding

Hemodialysis Fistula Maturation Consortium Data Coordinating CenterU01DK082236 · NIDDK · CLEVELAND CLINIC LERNER COM-CWRU · PI BECK, GERALD J · 2008 to 2013
$7.6M
Vascular Structure and Function in Arteriovenous Fistula MaturationU01DK082179 · NIDDK · UNIVERSITY OF WASHINGTON · PI HIMMELFARB, JONATHAN · 2008 to 2012
$2.5M
Determinants of Hemodialysis AV Fistula MaturationU01DK082232 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI DEMBER, LAURA M · 2008 to 2012
$2.4M
Modulation of the Hemodynamic Factors Associated with AVF MaturationU01DK082189 · NIDDK · UNIVERSITY OF FLORIDA · PI HUBER, THOMAS S · 2008 to 2012
$1.8M
Anatomic and functional predictors of arteriovenous fistula maturationU01DK082240 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI VAZQUEZ, MIGUEL A · 2008 to 2012
$1.8M
Maturation of Hemodialysis Arteriovenous FistulasU01DK082222 · NIDDK · UNIVERSITY OF UTAH · PI CHEUNG, ALFRED K · 2008 to 2012
$1.8M
Clinical, Hemodynamic and Biological Markers of AV Fistula MaturationU01DK082218 · NIDDK · UNIVERSITY OF CINCINNATI · PI ROY-CHAUDHURY, PRABIR · 2008 to 2012
$1.7M
NIDDK NIH HHS U01 DK082179NIDDK NIH HHS U01 DK082189NIDDK NIH HHS U01 DK082218NIDDK NIH HHS U01 DK082222NIDDK NIH HHS U01 DK082232NIDDK NIH HHS U01 DK082236NIDDK NIH HHS U01 DK082240
6 · The paper itself

Abstract

backgroundThe utility of early postoperative ultrasound measurements in predicting arteriovenous fistula (AVF) clinical maturation is uncertain.

methodsWe investigated the relationships of ultrasound parameters with AVF clinical maturation in newly created AVF, measured at 1 day and 2 and 6 weeks, in 602 participants of a multicenter, observational cohort study. A backward elimination algorithm identified ultrasound measurements that independently predicted unassisted and overall AVF maturation. Candidate variables included AVF blood flow, diameter, and depth, upper arm arterial diameter, presence of stenosis, presence of accessory veins, seven case-mix factors (age, sex, black race, AVF location, diabetes, dialysis status, and body mass index), and clinical center. We evaluated the accuracy of the resulting models for clinical prediction.

resultsAt each ultrasound measurement time, AVF blood flow, diameter, and depth each predicted in a statistically significant manner both unassisted and overall clinical maturation. Moreover, neither the remaining ultrasound parameters nor case-mix factors were associated with clinical AVF maturation after accounting for blood flow, diameter, and depth, although maturation probabilities differed among clinical centers before and after accounting for these parameters. The crossvalidated area under the receiver operating characteristic curve for models constructed using these three ultrasound parameters was 0.69, 0.74, and 0.79 at 1 day and 2 and 6 weeks, respectively, for unassisted AVF clinical maturation and 0.69, 0.71, and 0.76, respectively, for overall AVF maturation.

conclusionsAVF blood flow, diameter, and depth moderately predicted unassisted and overall AVF clinical maturation. The other factors considered did not further improve AVF maturation prediction.

Indexed as

Arteriovenous Shunt, SurgicalVascular PatencyAdultAgedAlgorithmsBlood Flow VelocityBrachial ArteryCohort StudiesFemaleHumansMaleMiddle AgedModels, CardiovascularPostoperative PeriodPredictive Value of TestsPrognosisaccess blood flowarteriovenous fistulaclinical trialdialysis accesshemodialysisUltrasonography

Identifiers

PMID30309898
PMCPMC6218859
OpenAlexW2895965108

What OpenQuestion holds

Textmetadata
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.