Evidence map›Paper›PMID 26920359›Full record

Trial reportNeurology2016

Chronic kidney disease, cerebral blood flow, and white matter volume in hypertensive adults.

Manjula Kurella Tamura, Nicholas M Pajewski, R Nick Bryan, Daniel E Weiner, Matthew Diamond, Peter Van Buren, Addison Taylor, Srinivasan Beddhu, Clive Rosendorff, Hesamoddin Jahanian and 2 more

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
5.7field-weighted citation impact, top 4% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Kidney Disease, Hypertension Treatment, and Cerebral Perfusion and Structure.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2022
    Trial
  5. Trial
  6. Trial
  7. Cognitive Function and Kidney Disease: Baseline Data From the Systolic Blood Pressure Intervention Trial (SPRINT).American journal of kidney diseases : the official journal of the National Kidney Foundation · 2017
    Trial
  8. Review
  9. Article
  10. Observational
  11. Cerebral Blood Flow and Cognition in CKD: A Physiological Paradox.Journal of the American Society of Nephrology : JASN · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Association of Kidney Function With Dementia and Structural Brain Differences: A Large Population-Based Cohort Study.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
    Article
  18. Review
  19. Review
  20. Article
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

12 authors at 1 institution in 1 country.

Manjula Kurella TamuraFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY. mktamura@stanford.edu.
Nicholas M PajewskiFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
R Nick BryanFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
Daniel E WeinerFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
Matthew DiamondFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
Peter Van BurenFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
Addison TaylorFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
Srinivasan BeddhuFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
Clive RosendorffFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
Hesamoddin JahanianFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
Greg ZaharchukFrom the Geriatric Research and Education Clinical Center (M.K.T.), Palo Alto VA Health Care System; Division of Nephrology (M.K.T.) and Department of Radiology (H.J., G.Z.), Stanford University School of Medicine, Palo Alto, CA; Department of Biostatistical Sciences (N.M.P.), Wake Forest School of Medicine, Winston-Salem, NC; Department of Radiology (R.N.B.), University of Pennsylvania, Philadelphia; Division of Nephrology (D.E.W.), Tufts Medical Center, Boston, MA; Division of Nephrology (M.D.), Georgia Regents University, Augusta; Department of Medicine (P.V.B.), University of Texas Southwestern Medical Center, Dallas; Department of Medicine (A.T.), Baylor College of Medicine, Houston, TX; Division of Nephrology (S.B.), University of Utah, Salt Lake City; and Division of Cardiology (C.R.), Icahn School of Medicine and James J. Peters VA, New York, NY.
SPRINT Study Research Group
Tufts Medical Center · US

Funding

INSTITUTIONAL CLINICAL AND TRANSLATIONAL SCIENCE AWARDUL1RR024134 · NCRR · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2006 to 2011
$70.4M
Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Clinical and Translational Science Collaborative of ClevelandUL1TR000439 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$50.0M
Michigan Institute for Clinical and Health Research (MCHR)UL1TR000433 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MASHOUR, GEORGE ALEXANDER · 2012 to 2016
$49.9M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Spectrum Stanford Center for clinical and Translational Research and EducationUL1TR001085 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$37.1M
Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
University of Iowa Clinical and Translational Science Program (TL1)UL1RR025755 · NCRR · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2008 to 2011
$26.3M
The Ohio State University Center for clinical and Translational ScienceUL1TR001070 · NCATS · OHIO STATE UNIVERSITY · PI JACKSON, REBECCA D · 2013 to 2017
$22.6M
NCATS NIH HHS 9U54TR000017-06NCATS NIH HHS UL1 TR000002NCATS NIH HHS UL1TR000003NCATS NIH HHS UL1TR000005NCATS NIH HHS UL1TR000050NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR000073NCATS NIH HHS UL1TR000073NCATS NIH HHS UL1TR000075NCATS NIH HHS UL1 TR000093NCATS NIH HHS UL1TR000093NCATS NIH HHS UL1TR00010505NCATS NIH HHS UL1 TR000433NCATS NIH HHS UL1TR000433NCATS NIH HHS UL1TR000439NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR001064NCATS NIH HHS UL1TR001064NCATS NIH HHS UL1 TR001070NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR001427NCATS NIH HHS UL1 TR002240NCRR NIH HHS UL1RR024134NCRR NIH HHS UL1 RR025752NCRR NIH HHS UL1RR025752NCRR NIH HHS UL1RR025755NCRR NIH HHS UL1RR025771NHLBI NIH HHS A-HL-13-002-001NHLBI NIH HHS HHSN268200900040CNHLBI NIH HHS HHSN268200900046CNHLBI NIH HHS HHSN268200900047CNHLBI NIH HHS HHSN268200900048CNHLBI NIH HHS HHSN268200900049CNIGMS NIH HHS P30 GM103337NIGMS NIH HHS P30GM103337
6 · The paper itself

Abstract

objectiveTo determine the relation between markers of kidney disease-estimated glomerular filtration rate (eGFR) and urine albumin to creatinine ratio (UACR)-with cerebral blood flow (CBF) and white matter volume (WMV) in hypertensive adults.

methodsWe used baseline data collected from 665 nondiabetic hypertensive adults aged ≥50 years participating in the Systolic Blood Pressure Intervention Trial (SPRINT). We used arterial spin labeling to measure CBF and structural 3T images to segment tissue into normal and abnormal WMV. We used quantile regression to estimate the association between eGFR and UACR with CBF and abnormal WMV, adjusting for sociodemographic and clinical characteristics.

resultsThere were 218 participants (33%) with eGFR <60 mL/min/1.73 m(2) and 146 participants (22%) with UACR ≥30 mg/g. Reduced eGFR was independently associated with higher adjusted median CBF, but not with abnormal WMV. Conversely, in adjusted analyses, there was a linear independent association between UACR and larger abnormal WMV, but not with CBF. Compared to participants with neither marker of CKD (eGFR ≥60 mL/min/1.73 m(2) and UACR <30 mg/g), median CBF was 5.03 mL/100 g/min higher (95% confidence interval [CI] 0.78, 9.29) and abnormal WMV was 0.63 cm(3) larger (95% CI 0.08, 1.17) among participants with both markers of CKD (eGFR <60 mL/min/1.73 m(2) and UACR ≥30 mg/g).

conclusionsAmong nondiabetic hypertensive adults, reduced eGFR was associated with higher CBF and higher UACR was associated with larger abnormal WMV.

Indexed as

AgedAged, 80 and overCerebrovascular CirculationCohort StudiesFemaleGlomerular Filtration RateHumansHypertensionMaleOrgan SizeRenal Insufficiency, ChronicWhite Matter

Identifiers

PMID26920359
PMCPMC4818564
OpenAlexW2315197470

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.