Evidence map›Paper›PMID 35454890›Full record

ReviewCancers2022

A New Approach to Understanding Cancer-Related Fatigue: Leveraging the 3P Model to Facilitate Risk Prediction and Clinical Care.

Alix G Sleight, Sylvia L Crowder, Jacek Skarbinski, Paul Coen, Nathan H Parker, Aasha I Hoogland, Brian D Gonzalez, Mary C Playdon, Steven Cole, Jennifer Ose and 4 more

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02328677 (ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis), which is not on this map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
5.2field-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.

NCT02328677 recruitingnot on this map

ColoCare Transdisciplinary Research in Colorectal Cancer Prognosis

TypeobservationalSponsorUniversity of UtahRan2007 to 2030Enrolled5,000ConditionsColorectal Cancer
3 · Its place in the literature

Who cites it

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 51 citations in OpenAlex.

  1. Machine Learning Models for Predicting Pain, Fatigue, Depression, Anxiety, and Malnutrition in Cancer Patients: A Systematic Review and Meta-Analysis.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2026
    Pooled it
  2. Diagnostic predictive models for cancer-related fatigue: current evidence and future directions.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Pooled it
  3. Pooled it
  4. Management of Fatigue in Adult Survivors of Cancer: ASCO-Society for Integrative Oncology Guideline Update.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Guideline
  5. Trial
  6. Time-restricted eating to address persistent cancer-related fatigue among cancer survivors: a randomized controlled trial.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Trial
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Biobehavioral correlates of multidimensional fatigue in men with prostate cancer: A secondary data analysis.European journal of oncology nursing : the official journal of European Oncology Nursing Society · 2025
    Observational
  15. Review
  16. Article
  17. Article
  18. Article
  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

14 authors at 6 institutions in 1 country.

Alix G SleightDepartment of Physical Medicine & Rehabilitation, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0001-5317-060X
Sylvia L CrowderDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA.ORCID 0000-0003-1430-9810
Jacek SkarbinskiDivision of Research, Kaiser Permanente Northern California, Oakland, CA 94501, USA.
Paul CoenAdventHealth Orlando, Translational Research Institute, Orlando, FL 32804, USA.
Nathan H ParkerDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA.
Aasha I HooglandDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA.ORCID 0000-0002-8691-8132
Brian D GonzalezDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA.ORCID 0000-0001-5108-5735
Mary C PlaydonDepartment of Nutrition and Integrative Physiology, University of Utah, Salt Lake City, UT 84044, USA.ORCID 0000-0001-6082-0447
Steven ColeDepartment of Psychiatry & Biobehavioral Sciences and Medicine, University of California, Los Angeles, CA 90001, USA.
Jennifer OseDepartment of Population Sciences, University of Utah, Salt Lake City, UT 84044, USA.
Yuichi MurayamaDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Erin M SiegelDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33601, USA.ORCID 0000-0003-1779-2510
Jane C FigueiredoDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Heather S L JimDepartment of Health Outcomes and Behavior, Moffitt Cancer Center, Tampa, FL 33601, USA.ORCID 0000-0001-7353-3711
Moffitt Cancer Center · USCedars-Sinai Medical Center · USUniversity of Utah · USAdventHealth Orlando · USKaiser Permanente · USUniversity of California, Los Angeles · US

Funding

Transdisciplinary Team Science in Colorectal Cancer Prognosis: the ColoCare StudyU01CA206110 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jane C. Figueiredo, Christopher I Li · 2016 to 2026
$18.6M
Behavioral Oncology Education & Career DevelopmentT32CA090314 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Vani N Simmons, SUSAN T VADAPARAMPIL · 2019 to 2026
$2.9M
NCI NIH HHS T32 CA090314NCI NIH HHS U01 CA206110
6 · The paper itself

Abstract

A major gap impeding development of new treatments for cancer-related fatigue is an inadequate understanding of the complex biological, clinical, demographic, and lifestyle mechanisms underlying fatigue. In this paper, we describe a new application of a comprehensive model for cancer-related fatigue: the predisposing, precipitating, and perpetuating (3P) factors model. This model framework outlined herein, which incorporates the emerging field of metabolomics, may help to frame a more in-depth analysis of the etiology of cancer-related fatigue as well as a broader and more personalized set of approaches to the clinical treatment of fatigue in oncology care. Included within this review paper is an in-depth description of the proposed biological mechanisms of cancer-related fatigue, as well as a presentation of the 3P model's application to this phenomenon. We conclude that a clinical focus on organization risk stratification and treatment around the 3P model may be warranted, and future research may benefit from expanding the 3P model to understand fatigue not only in oncology, but also across a variety of chronic conditions.

Indexed as

fatiguemetabolomicssurvivorship

Identifiers

PMID35454890
PMCPMC9027717
OpenAlexW4223915548

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.