Evidence mapPaperPMID 38294698Full record

ReviewAmerican journal of physiology. Endocrinology and metabolism2024

Metabolic underpinnings of cancer-related fatigue.

Xinyi Zhang, Rachel J Perry

Abstract readReview
In one paragraph

Review in American journal of physiology. Endocrinology and metabolism, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
field-weighted citation impact
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

8 citing papers in PubMed.

  1. Observational
  2. Platinum accumulation in chemotherapy: toxicity mechanisms, challenges, and mitigation strategies.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2026
    Review
  3. The relationship between the latent profiles of cancer-related fatigue characteristics and exercise adherence in colorectal cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  4. Review
  5. Development and validation of a machine learning model to predict moderate-to-severe cancer-related fatigue in breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  6. Article
  7. Article
  8. 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

2 authors.

Xinyi ZhangDepartments of Cellular & Molecular Physiology and Medicine (Endocrinology), Yale University School of Medicine, New Haven, Connecticut, United States.
Rachel J PerryDepartments of Cellular & Molecular Physiology and Medicine (Endocrinology), Yale University School of Medicine, New Haven, Connecticut, United States.ORCID 0000-0003-0748-8064

Funding

Vesicle Translocation and the Metabolic SyndromeR01DK129466 · YALE UNIVERSITY · 2025 to 2025
$516k
Melanoma Research Alliance (MRA)NIDDK NIH HHS R01 DK129466
6 · The paper itself

Abstract

Cancer-related fatigue (CRF) is one of the most prevalent and detrimental complications of cancer. Emerging evidence suggests that obesity and insulin resistance are associated with CRF occurrence and severity in cancer patients and survivors. In this narrative review, we analyzed recent studies including both preclinical and clinical research on the relationship between obesity and/or insulin resistance and CRF. We also describe potential mechanisms for these relationships, though with the caveat that because the mechanisms underlying CRF are incompletely understood, the mechanisms mediating the association between obesity/insulin resistance and CRF are similarly incompletely delineated. The data suggest that, in addition to their effects to worsen CRF by directly promoting tumor growth and metastasis, obesity and insulin resistance may also contribute to CRF by inducing chronic inflammation, neuroendocrinological disturbance, and metabolic alterations. Furthermore, studies suggest that patients with obesity and insulin resistance experience more cancer-induced pain and are at more risk of emotional and behavioral disruptions correlated with CRF. However, other studies implied a potentially paradoxical impact of obesity and insulin resistance to reduce CRF symptoms. Despite the need for further investigation utilizing interventions to directly elucidate the mechanisms of cancer-related fatigue, current evidence demonstrates a correlation between obesity and/or insulin resistance and CRF, and suggests potential therapeutics for CRF by targeting obesity and/or obesity-related mediators.

Indexed as

Insulin ResistanceNeoplasmsFatigueHumansObesitycancer metabolismcancer-related fatigue

Identifiers

PMID38294698
PMCPMC11901342

What Socratic 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 Socratic graph.