Evidence map›Paper›PMID 35612878›Full record

ArticleJMIR cancer2022

Identifying Themes for Assessing Cancer-Related Cognitive Impairment: Topic Modeling and Qualitative Content Analysis of Public Online Comments.

Shelli R Kesler, Ashley M Henneghan, Whitney Thurman, Vikram Rao

Open access · goldAbstract read
In one paragraph

Article in JMIR cancer, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Applications of machine learning and natural language processing to neurocognitive outcomes in posttreatment cancer survivors: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  2. Article
  3. 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

4 authors at 1 institution in 1 country.

Shelli R KeslerSchool of Nursing, University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-0515-7942
Ashley M HenneghanSchool of Nursing, University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-6733-1926
Whitney ThurmanSchool of Nursing, University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-3208-4021
Vikram RaoSchool of Nursing, University of Texas at Austin, Austin, TX, United States.ORCID https://orcid.org/0000-0002-7224-2063
The University of Texas at Austin · US

Funding

Very-long Term Neurocognitive Outcomes in Breast Cancer Survivors (ProbC2)R01CA172145 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI KESLER, SHELLI R, PALESH, OXANA G · 2012 to 2024
$3.3M
Predicting Long-Term Chemotherapy-Related Cognitive ImpairmentR01CA226080 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI KESLER, SHELLI R, PALESH, OXANA G · 2019 to 2024
$3.1M
Brain Connectivity and Self-Reported Cancer Related Cognitive ImpairmentK01NR018970 · NINR · UNIVERSITY OF TEXAS AT AUSTIN · PI HENNEGHAN, ASHLEY M. · 2020 to 2022
$312k
NCI NIH HHS R01 CA172145NCI NIH HHS R01 CA226080NINR NIH HHS K01 NR018970
6 · The paper itself

Abstract

backgroundCancer-related cognitive impairment (CRCI) is a common and significant adverse effect of cancer and its therapies. However, its definition and assessment remain difficult due to limitations of currently available measurement tools.

objectiveThis study aims to evaluate qualitative themes related to the cognitive effects of cancer to help guide development of assessments that are more specific than what is currently available.

methodsWe applied topic modeling and inductive qualitative content analysis to 145 public online comments related to cognitive effects of cancer.

resultsTopic modeling revealed 2 latent topics that we interpreted as representing internal and external factors related to cognitive effects. These findings lead us to hypothesize regarding the potential contribution of locus of control to CRCI. Content analysis suggested several major themes including symptoms, emotional/psychological impacts, coping, "chemobrain" is real, change over time, and function. There was some conceptual overlap between the 2 methods regarding internal and external factors related to patient experiences of cognitive effects.

conclusionsOur findings indicate that coping mechanisms and locus of control may be important themes to include in assessments of CRCI. Future directions in this field include prospective acquisition of free-text responses to guide development of assessments that are more sensitive and specific to cognitive function in patients with cancer.

Indexed as

cancercognitivenatural language processingoncology

Identifiers

PMID35612878
PMCPMC9178450
OpenAlexW4281694540

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.