Evidence map›Paper›PMID 32132197›Full record

ArticleJournal of the American Society of Nephrology : JASN2020

Evaluation of Screening Tests for Cognitive Impairment in Patients Receiving Maintenance Hemodialysis.

David A Drew, Hocine Tighiouart, Jasmine Rollins, Sarah Duncan, Seda Babroudi, Tammy Scott, Daniel E Weiner, Mark J Sarnak

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society of Nephrology : JASN, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 3% 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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Trends in Co-morbid Dementia and Chronic Kidney Disease.Journal of general internal medicine · 2025
    Article
  10. Diagnosis and Management of Dementia for the Nephrology Clinician: A Review.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2025
    Review
  11. Uremic Toxins, CKD, and Cognitive Dysfunction.Journal of the American Society of Nephrology : JASN · 2025
    Review
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

David A DrewDivision of Nephrology, Department of Medicine, and ddrew@tuftsmedicalcenter.org.ORCID 0000-0003-0377-723X
Hocine TighiouartThe Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts.
Jasmine RollinsDivision of Nephrology, Department of Medicine, and.
Sarah DuncanDivision of Nephrology, Department of Medicine, and.
Seda BabroudiDivision of Nephrology, Department of Medicine, and.
Tammy ScottJean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts.
Daniel E WeinerDivision of Nephrology, Department of Medicine, and.
Mark J SarnakDivision of Nephrology, Department of Medicine, and.ORCID 0000-0003-4927-6609
Tufts Medical Center · USTufts University · US

Funding

The association of FGF-23 and Klotho with cognitive impairment and cerebrovascular disease in chronic kidney diseaseK23DK105327 · NIDDK · TUFTS MEDICAL CENTER · PI DREW, DAVID ALAN · 2016 to 2020
$958k
NIDDK NIH HHS K23 DK105327
6 · The paper itself

Abstract

backgroundNeurocognitive testing shows that cognitive impairment is common among patients receiving maintenance hemodialysis. Identification of a well performing screening test for cognitive impairment might allow for broader assessment in dialysis facilities and thus optimal delivery of education and medical management.

methodsFrom 2015 to 2018, in a cohort of 150 patients on hemodialysis, we performed a set of comprehensive neurocognitive tests that included the cognitive domains of memory, attention, and executive function to classify whether participants had normal cognitive function versus mild, moderate, or severe cognitive impairment. Using area-under-the-curve (AUC) analysis, we then examined the predictive ability of the Mini Mental State Examination, the Modified Mini Mental State Examination, the Montreal Cognitive Assessment, the Trail Making Test Part B, the Mini-Cog test, and the Digit Symbol Substitution Test, determining each test's performance for identifying severe cognitive impairment.

resultsMean age was 64 years; 61% were men, 39% were black, and 94% had at least a high-school education. Of the 150 participants, 21% had normal cognitive function, 17% had mild cognitive impairment, 33% had moderate impairment, and 29% had severe impairment. The Montreal Cognitive Assessment had the highest overall predictive ability for severe cognitive impairment (AUC, 0.81); a score of ≤21 had a sensitivity of 86% and specificity of 55% for severe impairment, with a negative predictive value of 91%. The Trails B and Digit Symbol tests also performed reasonably well (AUCs, 0.73 and 0.78, respectively). The other tests had lower predictive performances.

conclusionsThe Montreal Cognitive Assessment, a widely available and brief cognitive screening tool, showed high sensitivity and moderate specificity in detecting severe cognitive impairment in patients on maintenance hemodialysis.

Indexed as

Mental Status and Dementia TestsRenal DialysisAgedCognitive DysfunctionCohort StudiesEducational StatusFemaleHumansKidney Failure, ChronicMaleMass ScreeningMiddle AgedPredictive Value of TestsROC CurveSeverity of Illness Indexcognitive impairmenthemodialysisscreening tests

Identifiers

PMID32132197
PMCPMC7191919
OpenAlexW3009467844

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.