Evidence map›Paper›PMID 26354858›Full record

ArticleHeart & lung : the journal of critical care

Performance of the Automated Neuropsychological Assessment Metrics (ANAM) in detecting cognitive impairment in heart failure patients.

Susan S Xie, Carly M Goldstein, Emily C Gathright, John Gunstad, Mary A Dolansky, Joseph Redle, Joel W Hughes

Open access · greenAbstract read
In one paragraph

Article in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 4 institutions in 1 country.

Susan S XieBaylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. Electronic address: susan.xie@bcm.edu.
Carly M GoldsteinKent State University, Kent, OH 44242, USA; Warren Alpert Medical School of Brown University, Providence, RI 02903, USA.
Emily C GathrightKent State University, Kent, OH 44242, USA.
John GunstadKent State University, Kent, OH 44242, USA.
Mary A DolanskyFrances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH 44106, USA.
Joseph RedleSumma Health System, Akron, OH 44304, USA.
Joel W HughesKent State University, Kent, OH 44242, USA; Summa Health System, Akron, OH 44304, USA.
Kent State University · USSumma Health System · USBaylor College of Medicine · USCase Western Reserve University · US

Funding

Training in Behavioral & Preventive MedicineT32HL076134 · NHLBI · MIRIAM HOSPITAL · PI John Graham Thomas · 2006 to 2026
$5.7M
Cognitive Impairment and Self-management in Adults with Heart FailureR01HL096710 · NHLBI · KENT STATE UNIVERSITY · PI DOLANSKY, MARY, HUGHES, JOEL W · 2010 to 2013
$2.7M
NHLBI NIH HHS 1R01 HL096710-01A1NHLBI NIH HHS R01 HL096710NHLBI NIH HHS T32 HL076134
6 · The paper itself

Abstract

objectiveEvaluate capacity of the Automated Neuropsychological Assessment Metrics (ANAM) to detect cognitive impairment (CI) in heart failure (HF) patients.

backgroundCI is a key prognostic marker in HF. Though the most widely used cognitive screen in HF, the Mini-Mental State Examination (MMSE) is insufficiently sensitive. The ANAM has demonstrated sensitivity to cognitive domains affected by HF, but has not been assessed in this population.

methodsInvestigators administered the ANAM and MMSE to 57 HF patients, compared against a composite model of cognitive function.

resultsANAM efficiency (p < .05) and accuracy scores (p < .001) successfully differentiated CI and non-CI. ANAM efficiency and accuracy scores classified 97.7% and 93.0% of non-CI patients, and 14.3% and 21.4% with CI, respectively.

conclusionsThe ANAM is more effective than the MMSE for detecting CI, but further research is needed to develop a more optimal cognitive screen for routine use in HF patients.

Indexed as

Neuropsychological TestsAgedAged, 80 and overCognition DisordersCross-Sectional StudiesFemaleHeart FailureHumansMaleMiddle AgedPrognosisANAMCognitionHeart failureMass screeningMild cognitive impairment

Identifiers

PMID26354858
PMCPMC4567695
OpenAlexW2151622980

What OpenQuestion holds

Textmetadata
LicenceTDM
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.