Evidence map›Paper›PMID 34027327›Full record

ArticleEClinicalMedicine2021

Ensemble machine learning classification of daily living abilities among older people with HIV.

Robert Paul, Torie Tsuei, Kyu Cho, Andrew Belden, Benedetta Milanini, Jacob Bolzenius, Shireen Javandel, Joseph McBride, Lucette Cysique, Samantha Lesinski and 1 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.3field-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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Antiretroviral Therapy Intensification for Neurocognitive Impairment in Human Immunodeficiency Virus.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Cognitive Phenotypes of HIV Defined Using a Novel Data-driven Approach.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2022
    Article
  9. Prediction of successful aging using ensemble machine learning algorithms.BMC medical informatics and decision making · 2022
    Article
  10. 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

11 authors at 6 institutions in 2 countries.

Robert PaulMissouri Institute of Mental Health, University of Missouri-St. Louis, St. Louis, MO 63121-4400, United States.
Torie TsueiMemory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, United States.
Kyu ChoMissouri Institute of Mental Health, University of Missouri-St. Louis, St. Louis, MO 63121-4400, United States.
Andrew BeldenMissouri Institute of Mental Health, University of Missouri-St. Louis, St. Louis, MO 63121-4400, United States.
Benedetta MilaniniMemory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, United States.
Jacob BolzeniusMissouri Institute of Mental Health, University of Missouri-St. Louis, St. Louis, MO 63121-4400, United States.
Shireen JavandelMemory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, United States.
Joseph McBrideMissouri Institute of Mental Health, University of Missouri-St. Louis, St. Louis, MO 63121-4400, United States.
Lucette CysiqueSchool of Psychology, University of New South Wales, Sydney, Australia.
Samantha LesinskiMissouri Institute of Mental Health, University of Missouri-St. Louis, St. Louis, MO 63121-4400, United States.
Victor ValcourMemory and Aging Center, Department of Neurology, University of California San Francisco, San Francisco, CA, United States.
Missouri Institute of Mental Health · USUniversity of Missouri–St. Louis · USUniversity of California, San Francisco · USGlobal Brain Health Institute · USUniversity Memory and Aging Center · USUNSW Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundclinically relevant methods to identify individuals at risk for impaired daily living abilities secondary to neurocognitive impairment (ADLs) remain elusive. This is especially true for complex clinical conditions such as HIV-Associated Neurocognitive Disorders (HAND). The aim of this study was to identify novel and modifiable factors that have potential to improve diagnostic accuracy of ADL risk, with the long-term goal of guiding future interventions to minimize ADL disruption.

methodsstudy participants included 79 people with HIV (PWH; mean age = 63; range = 55-80) enrolled in neuroHIV studies at University California San Francisco (UCSF) between 2016 and 2019. All participants were virally suppressed and exhibited objective evidence of neurocognitive impairment. ADL status was defined as either normative (

findingsthe univariate GBM yielded an average AUC of 83% using Wide Range Achievement test 4 (WRAT-4) reading score, self-reported thought confusion and difficulty reading, radial diffusivity (RD) in the left external capsule, fractional anisotropy (FA) in the left cingulate gyrus, and Stroop performance. The model allowing for two-way interactions modestly improved classification performance (AUC of 88%) and revealed synergies between race, reading ability, cognitive performance, and neuroimaging metrics in the genu and uncinate fasciculus. Conversion of Neuropsychological Assessment Battery Daily Living Module (NAB-DLM) performance from raw scores into T scores amplified differences between White and non-White study participants.

interpretationdemographic and sociocultural factors are critical determinants of ADL risk status among older PWH who meet diagnostic criteria for neurocognitive impairment. Task-based ADL assessment that relies heavily on reading proficiency may artificially inflate the frequency/severity of ADL impairment among diverse clinical populations. Culturally relevant measures of ADL status are needed for individuals with acquired neurocognitive disorders, including HAND.

Indexed as

ADLsAgingHIVMachine learning

Identifiers

PMID34027327
PMCPMC8129893
OpenAlexW3158344729

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.